Changed line 3 from:
- SCIP - Shopping Cart Item Predictor with deployment demo: Shopping cart item prediction through Bayesian inference, 2017
to:
- SCIP - Shopping Cart Item Predictor with deployment demo: Shopping cart item prediction through Bayesian inference, 2017
Changed line 3 from:
- SCIP - Shopping Cart Item Predictor) with deployment demo: Shopping cart item prediction through Bayesian inference, 2017
to:
- SCIP - Shopping Cart Item Predictor with deployment demo: Shopping cart item prediction through Bayesian inference, 2017
Changed line 3 from:
- SCIP (Shopping Cart Item Predictor) with deployment demo: Shopping cart item prediction through Bayesian inference, 2017
to:
- SCIP - Shopping Cart Item Predictor) with deployment demo: Shopping cart item prediction through Bayesian inference, 2017
Deleted line 2:
- MODS (Massive Online DataStream): machine learning application using deep learning modelling for proactive network monitoring and security protection, 2018-2020
Deleted lines 3-4:
- MoBeV: Scalable security solutions for private mobile network, 2015-2016
- CTRvw - Incremental machine learning tools for development of Click-Through Rate large-scale online marketing application using Vowpal Wabbit (VW), 2014-2015
Changed line 5 from:
- MoBeV: Scalable security solutions for private mobile network, 2015-2016
to:
- MoBeV: Scalable security solutions for private mobile network, 2015-2016
Changed line 9 from:
- LIGA (in-memory LInear large-scale GAzetteers): Python and Java code, 2013-2014\\
to:
- LIGA (in-memory LInear large-scale GAzetteers) Python and Java code, 2013-2014\\
Changed line 5 from:
- MoBeV: Scalable security solutions for private mobile network, 2015-2016
to:
- MoBeV: Scalable security solutions for private mobile network, 2015-2016
Changed line 4 from:
- SCIP (Shopping Cart Item Predictor) with deployment demo: Shopping cart item prediction through Bayesian inference, 2017
to:
- SCIP (Shopping Cart Item Predictor) with deployment demo: Shopping cart item prediction through Bayesian inference, 2017
Changed line 6 from:
- CTRvw - Incremental machine learning tools for development of Click-Through Rate large-scale online marketing application using Vowpal Wabbit (VW), 2014-2015
to:
- CTRvw - Incremental machine learning tools for development of Click-Through Rate large-scale online marketing application using Vowpal Wabbit (VW), 2014-2015
Changed line 9 from:
- LIGA (in-memory LInear large-scale GAzetteers): Python and Java code, 2013-2014\\
to:
- LIGA (in-memory LInear large-scale GAzetteers): Python and Java code, 2013-2014\\
Changed line 15 from:
Platform for scalable information processing (PSIP)
to:
Platform for scalable information processing (PFSIP)
Changed line 15 from:
Platform for scalable information processing
to:
Platform for scalable information processing (PSIP)
Changed line 6 from:
- CTRvw - Machine learning (ML) tools for development of Click-Through Rate (CTR) large-scale online marketing application using VW, 2014-2015
to:
- CTRvw - Incremental machine learning tools for development of Click-Through Rate large-scale online marketing application using Vowpal Wabbit (VW), 2014-2015
Changed line 10 from:
Standalone contain extraction tools for NLP (Natural Language Processing)
to:
Standalone contain extraction tools for Natural Language Processing
Changed line 3 from:
- MODS (Massive Online DataStream): machine learning (ML) application for proactive network monitoring using deep learning (DL) modelling, 2018-2020
to:
- MODS (Massive Online DataStream): machine learning application using deep learning modelling for proactive network monitoring and security protection, 2018-2020
Changed line 1 from:
Software and Tools
to:
Software and Tools - Flyers
Changed line 3 from:
- MODS (Massive Online DataStream): machine learning (ML) application for proactive network monitoring using deep learning (DL) modelling, 2018-2020
to:
- MODS (Massive Online DataStream): machine learning (ML) application for proactive network monitoring using deep learning (DL) modelling, 2018-2020
Changed line 66 from:
to:
Changed line 9 from:
- LIGA (in-memory LInear large-scale GAzetteers): Python and Java code, 2013-2014\\
to:
- LIGA (in-memory LInear large-scale GAzetteers): Python and Java code, 2013-2014\\
Changed line 7 from:
- LEMOR - Lemmatizer and morphology for Slovak language\\
to:
- LEMOR - Lemmatizer and morphology for Slovak language\\
Changed lines 16-18 from:
Platform for web monitoring (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email
Hadoop scalable information processing with plug-ins for parsing and information extraction
to:
Platform for web monitoring (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data.
Hadoop scalable information processing with plug-ins for parsing and information extraction.
For more information please contact us at email\\
Changed lines 38-39 from:
The architecture and the tools are originally designed and developed in the NAZOU project (2004-2006). Designed tools are chained in the IKT architecture. At the moment, several tools are continually developing but the architecture is adapted and involved with modern in-trend technologies. >>e.g. with Nutch and Hadoop platform<<
to:
The architecture and the tools are originally designed and developed in the NAZOU project (2004-2006). Designed tools are chained in the IKT architecture. At the moment, several tools are continually developing but the architecture is adapted and involved with modern in-trend technologies.
Changed line 38 from:
The architecture and the tools are originally designed and developed in the NAZOU project (2004-2006). Designed tools are chained in the IKT architecture. At the moment, several tools are continually developing but the architecture is adapted and involved with modern in-trend technologies e.g. with Nutch and Hadoop platform.
to:
The architecture and the tools are originally designed and developed in the NAZOU project (2004-2006). Designed tools are chained in the IKT architecture. At the moment, several tools are continually developing but the architecture is adapted and involved with modern in-trend technologies. >>e.g. with Nutch and Hadoop platform<<
Changed line 6 from:
- CTRvw - machine learning (ML) tools for development of Click-Through Rate (CTR) large-scale online marketing application using VW, 2014-2015
to:
- CTRvw - Machine learning (ML) tools for development of Click-Through Rate (CTR) large-scale online marketing application using VW, 2014-2015
Added lines 41-44:
- Email Social Network Search
Email Social Network Search explores new approach for searching email archives as knowledge repository
- Ontea
Ontology based Text Annotation using Regular Expression Patterns
Deleted lines 46-49:
- Ontea
Ontology based Text Annotation using Regular Expression Patterns
- Email Social Network Search
Email Social Network Search explores new approach for searching email archives as knowledge repository
Changed line 38 from:
The architecture and the tools are originally designed and developed in the NAZOU project, 2004-2006. Designed tools are chained in the IKT architecture. At the moment, several tools are continually developing but the architecture is adapted and involved with modern in-trend technologies e.g. with Nutch and Hadoop platform.
to:
The architecture and the tools are originally designed and developed in the NAZOU project (2004-2006). Designed tools are chained in the IKT architecture. At the moment, several tools are continually developing but the architecture is adapted and involved with modern in-trend technologies e.g. with Nutch and Hadoop platform.
Changed line 22 from:
- Infamous Gorila files scandal (2011-2012)\\
to:
- Infamous Gorila files scandal, 2012\\
Changed line 27 from:
Reasoning over Enron scandal emails
to:
Reasoning over Enron scandal emails, 2012
Changed line 23 from:
Searching and reasoning over Gorila files
to:
Searching and reasoning over Gorila files
Changed line 22 from:
- Infamous Gorila files scandal\\
to:
- Infamous Gorila files scandal (2011-2012)\\
Changed line 38 from:
The architecture and the tools are originally designed and developed in the NAZOU project. Designed tools are chained in the IKT architecture. At the moment, several tools are continually developing but the architecture is adapted and involved with modern in-trend technologies e.g. with Nutch and Hadoop platform.
to:
The architecture and the tools are originally designed and developed in the NAZOU project, 2004-2006. Designed tools are chained in the IKT architecture. At the moment, several tools are continually developing but the architecture is adapted and involved with modern in-trend technologies e.g. with Nutch and Hadoop platform.
Deleted lines 44-46:
Deleted lines 40-43:
- RIDAR
Relevant Internet Data Resource Identification
- ERID
Estimate Relevance of Internet Documents
Deleted lines 42-43:
- ExPoS design
The tool objective is to extract useful information from the webpage contents downloaded and stored in the Corporate Memory.
Changed lines 45-47 from:
- RDB2Onto
Tool for Relational Data to Ontology Individuals Mapping
to:
Added lines 50-57:
- ExPoS design
The tool objective is to extract useful information from the webpage contents downloaded and stored in the Corporate Memory.
- RDB2Onto
Tool for Relational Data to Ontology Individuals Mapping
- RIDAR
Relevant Internet Data Resource Identification
- ERID
Estimate Relevance of Internet Documents
Changed line 16 from:
Platform for web monitoring (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email\\
to:
Platform for web monitoring (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email\\
Changed line 16 from:
Platform for web monitoring (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email\\
to:
Platform for web monitoring (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email\\
Changed line 3 from:
- MODS (Massive Online DataStream): machine learning (ML) application for network monitoring using deep learning (DL) modelling, 2018-2020
to:
- MODS (Massive Online DataStream): machine learning (ML) application for proactive network monitoring using deep learning (DL) modelling, 2018-2020
Changed line 5 from:
- MoBeV (Mobile Network Security): Scalable security solutions for private mobile network, 2015-2016
to:
- MoBeV: Scalable security solutions for private mobile network, 2015-2016
Changed line 5 from:
- MoBeV (Mobile Network Security): Scalable security solutions on private mobile network, 2015-2016
to:
- MoBeV (Mobile Network Security): Scalable security solutions for private mobile network, 2015-2016
Changed line 8 from:
Lemmatizer and morphology annotator for Slovak language
to:
Lemmatizer and morphology annotator for Slovak language, 2015
Changed line 11 from:
- IKT-Ontea: Pattern based annotation platform, which originally started within NAZOU project as Ontea
to:
- IKT-Ontea: Pattern based annotation platform based on NAZOU's Ontea
Changed lines 11-14 from:
Pattern based annotation platform, which originally started within NAZOU project as Ontea
Graph based Semantic Search is used for entity relation discovery in unstructured text, which is based on Email Social Network Search
to:
- IKT-Ontea: Pattern based annotation platform, which originally started within NAZOU project as Ontea
- gSemSearch: Graph based Semantic Search is used for entity relation discovery in unstructured text, which is based on Email Social Network Search
Changed line 9 from:
- LIGA (in-memory LInear large-scale GAzetteers): Java code, 2013-2014\\
to:
- LIGA (in-memory LInear large-scale GAzetteers): Python and Java code, 2013-2014\\
Changed line 11 from:
to:
Changed line 13 from:
to:
Changed line 9 from:
- LIGA (in-memory LInear large-scale GAzetteers) - Java code, 2013-2014\\
to:
- LIGA (in-memory LInear large-scale GAzetteers): Java code, 2013-2014\\
Changed line 9 from:
- LIGA - in-memory LInear large-scale GAzetteers, 2013-2014\\
to:
- LIGA (in-memory LInear large-scale GAzetteers) - Java code, 2013-2014\\
Changed line 5 from:
- MoBeV - security and privacy tools with scalable ML solutions on private mobile network, 2015-2016
to:
- MoBeV (Mobile Network Security): Scalable security solutions on private mobile network, 2015-2016
Changed line 4 from:
- SCIP (Shopping Cart Item Predictor) - deployment demo: Shopping cart item prediction through Bayesian inference, 2017
to:
- SCIP (Shopping Cart Item Predictor) with deployment demo: Shopping cart item prediction through Bayesian inference, 2017
Changed line 4 from:
- SCIP (Shopping Cart Item Predictor) - deployment demo - Shopping cart item prediction through Bayesian inference, 2017
to:
- SCIP (Shopping Cart Item Predictor) - deployment demo: Shopping cart item prediction through Bayesian inference, 2017
Changed lines 3-4 from:
- MODS - Massive Online DataStream - machine learning (ML) application for network monitoring using deep learning (DL) modelling, 2018-2020
- SCIP - Shopping Cart Item Predictor - deployment demo - Shopping cart item prediction through Bayesian inference, 2017
to:
- MODS (Massive Online DataStream): machine learning (ML) application for network monitoring using deep learning (DL) modelling, 2018-2020
- SCIP (Shopping Cart Item Predictor) - deployment demo - Shopping cart item prediction through Bayesian inference, 2017
Changed line 4 from:
- SCIP - Shopping Cart Item Predictor - Shopping cart item prediction through Bayesian inference, 2017
to:
- SCIP - Shopping Cart Item Predictor - deployment demo - Shopping cart item prediction through Bayesian inference, 2017
Added line 4:
- SCIP - Shopping Cart Item Predictor - Shopping cart item prediction through Bayesian inference, 2017
Deleted line 6:
- SCIP - Shopping Cart Item Predictor - Shopping cart item prediction through Bayesian inference, 2017
Changed line 5 from:
- CTRvw - machine learning (ML) tools for development of Click-Through Rate (CTR) large-scale online marketing application using VW, 2015
to:
- CTRvw - machine learning (ML) tools for development of Click-Through Rate (CTR) large-scale online marketing application using VW, 2014-2015
Changed line 9 from:
- LIGA - in-memory LInear large-scale GAzetteers, 2014\\
to:
- LIGA - in-memory LInear large-scale GAzetteers, 2013-2014\\
Changed line 3 from:
- MODS - Massive Online DataStream - machine learning (ML) application for network monitoring using deep learning (DL) modelling, 2018-2010
to:
- MODS - Massive Online DataStream - machine learning (ML) application for network monitoring using deep learning (DL) modelling, 2018-2020
Changed lines 3-6 from:
- MODS - Massive Online DataStream - machine learning (ML) application for network monitoring using deep learning (DL) modelling
- MoBeV - security and privacy tools with scalable ML solutions on private mobile network
- CTRvw - machine learning (ML) tools for development of Click-Through Rate (CTR) large-scale online marketing application using VW
- SCIP - Shopping Cart Item Predictor - Shopping cart item prediction through Bayesian inference
to:
- MODS - Massive Online DataStream - machine learning (ML) application for network monitoring using deep learning (DL) modelling, 2018-2010
- MoBeV - security and privacy tools with scalable ML solutions on private mobile network, 2015-2016
- CTRvw - machine learning (ML) tools for development of Click-Through Rate (CTR) large-scale online marketing application using VW, 2015
- SCIP - Shopping Cart Item Predictor - Shopping cart item prediction through Bayesian inference, 2017
Changed line 9 from:
- LIGA - in-memory LInear large-scale GAzetteers\\
to:
- LIGA - in-memory LInear large-scale GAzetteers, 2014\\
Changed line 3 from:
- MODS - Massive Online DataStream - machine learning (ML) application for network monitoring using deep learning (DL) modelling approaches
to:
- MODS - Massive Online DataStream - machine learning (ML) application for network monitoring using deep learning (DL) modelling
Changed line 6 from:
- SCIP - Shopping Cart Item Predictor\\
to:
- SCIP - Shopping Cart Item Predictor - Shopping cart item prediction through Bayesian inference
Deleted line 8:
Shopping cart item prediction through Bayesian inference
Added line 6:
- SCIP - Shopping Cart Item Predictor\\
Deleted line 8:
- SCIP - Shopping Cart Item Predictor\\
Changed lines 5-6 from:
- CTRvw - machine learning (ML) tools for development of\\
Click-Through Rate (CTR) large-scale online marketing application using VW
to:
- CTRvw - machine learning (ML) tools for development of Click-Through Rate (CTR) large-scale online marketing application using VW
Changed line 5 from:
- CTRvw - machine learning (ML) tools for development of \\
to:
- CTRvw - machine learning (ML) tools for development of\\
Changed lines 5-6 from:
- CTRvw - machine learning (ML) tools for development of \\ Click-Through Rate (CTR) large-scale online marketing application using VW
to:
- CTRvw - machine learning (ML) tools for development of \\
Click-Through Rate (CTR) large-scale online marketing application using VW
Changed lines 5-6 from:
- CTRvw - machine learning (ML) tools for
development of Click-Through Rate (CTR) large-scale online marketing application using VW
to:
- CTRvw - machine learning (ML) tools for development of \\ Click-Through Rate (CTR) large-scale online marketing application using VW
Changed line 5 from:
- CTRvw - machine learning (ML) tools for \\
to:
- CTRvw - machine learning (ML) tools for
Changed lines 5-6 from:
- CTRvw - machine learning (ML) development tools for
Click-Through Rate (CTR) large-scale online marketing application using VW
to:
- CTRvw - machine learning (ML) tools for
development of Click-Through Rate (CTR) large-scale online marketing application using VW
Changed line 4 from:
to:
- MoBeV - security and privacy tools with scalable ML solutions on private mobile network
Changed line 4 from:
- MoBeV - security and privacy tools with scalable ML solutions on private mobile network
to:
Changed line 4 from:
- - security and privacy tools with scalable ML solutions on private mobile network
to:
- MoBeV - security and privacy tools with scalable ML solutions on private mobile network
Changed line 4 from:
- MoBeV - security and privacy tools with scalable ML solutions on private mobile network
to:
- - security and privacy tools with scalable ML solutions on private mobile network
Changed line 3 from:
- MODS - Massive Online DataStream - large-scale ML application for network monitoring using deep learning (DL) modelling approaches
to:
- MODS - Massive Online DataStream - machine learning (ML) application for network monitoring using deep learning (DL) modelling approaches
Changed line 6 from:
Click-Through Rate (CTR) large-scale online marketing application using Vowpal Wabbit (ML)
to:
Click-Through Rate (CTR) large-scale online marketing application using VW
Changed line 4 from:
- MoBeV - security and privacy (scalable ML) tools on private mobile network
to:
- MoBeV - security and privacy tools with scalable ML solutions on private mobile network
Changed line 5 from:
- CTRvw - machine learning (ML) development tool for \\
to:
- CTRvw - machine learning (ML) development tools for \\
Changed line 5 from:
- CTRvw - machine learning development tool for \\
to:
- CTRvw - machine learning (ML) development tool for \\
Changed line 3 from:
- MODS - Massive Online DataStream - large-scale ML application with deep learning (DL) modelling
to:
- MODS - Massive Online DataStream - large-scale ML application for network monitoring using deep learning (DL) modelling approaches
Changed line 3 from:
- MODS - Massive Online DataStream
to:
- MODS - Massive Online DataStream - large-scale ML application with deep learning (DL) modelling
Changed line 4 from:
- MoBeV - security and privacy tools on private mobile network
to:
- MoBeV - security and privacy (scalable ML) tools on private mobile network
Changed line 4 from:
- MoBeV - security and privacy tools on private data
to:
- MoBeV - security and privacy tools on private mobile network
Changed lines 5-6 from:
- CTRvw - development tool for
Click-Through Rate (CTR) online marketing application using Vowpal Wabbit (ML)
to:
- CTRvw - machine learning development tool for
Click-Through Rate (CTR) large-scale online marketing application using Vowpal Wabbit (ML)
Changed line 6 from:
Click-Through Rate (CTR) online merketing application using Vowpal Wabbit
to:
Click-Through Rate (CTR) online marketing application using Vowpal Wabbit (ML)
Changed line 20 from:
Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email\\
to:
Platform for web monitoring (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email\\
Added line 4:
- MoBeV - security and privacy tools on private data
Changed line 8 from:
- SCIP -Shopping Cart Item Predictor\\
to:
- SCIP - Shopping Cart Item Predictor\\
Changed line 8 from:
- SCIP - Shopping Cart Item Predictor\\
to:
- SCIP -Shopping Cart Item Predictor\\
Changed line 10 from:
- LIGA - in-memory LInear large-scale GAzetteers\\
to:
- LIGA - in-memory LInear large-scale GAzetteers\\
Changed line 10 from:
- LIGA - in-memory LInear large-scale GAzetteers\\
to:
- LIGA - in-memory LInear large-scale GAzetteers\\
Changed lines 3-6 from:
- MODS
Massive Online DataStream
- CTRvw
development tool for Click-Through Rate (CTR) online merketing application using Vowpal Wabbit
to:
- MODS - Massive Online DataStream
- CTRvw - development tool for
Click-Through Rate (CTR) online merketing application using Vowpal Wabbit
Changed line 3 from:
to:
Changed line 5 from:
to:
Changed lines 3-4 from:
- MODS (2018-2020) Massive Online DataStream
- CTRvw (2015) development tool for Click-Through Rate (CTR) online merketing application using Vowpal Wabbit
to:
Massive Online DataStream
development tool for Click-Through Rate (CTR) online merketing application using Vowpal Wabbit
Added line 3:
- MODS (2018-2020) Massive Online DataStream
Added line 3:
- CTRvw (2015) development tool for Click-Through Rate (CTR) online merketing application using Vowpal Wabbit
Deleted lines 2-3:
- MODS - Massive Online DataStream
Building intelligent software module for improving functionalities of Intrusion Detection System (IDS)
Changed line 3 from:
- MODS - Massive Online DataStream\\
to:
- MODS - Massive Online DataStream\\
Changed line 4 from:
Intelligent module using ML/DL techniques for improving functionalities of underlying IDS and monitoring system
to:
Building intelligent software module for improving functionalities of Intrusion Detection System (IDS)
Changed line 3 from:
- MODS - Massive Online DataStream\\
to:
- MODS - Massive Online DataStream\\
Changed line 4 from:
Intelligent module using ML/DL techniques for underlying IDS and monitoring system
to:
Intelligent module using ML/DL techniques for improving functionalities of underlying IDS and monitoring system
Changed line 3 from:
- MODS - Massive Online DataStream\\\
to:
- MODS - Massive Online DataStream\\
Added lines 3-4:
- MODS - Massive Online DataStream
Intelligent module using ML/DL techniques for underlying IDS and monitoring system
Changed line 24 from:
- Search in BBC news with the semantic support\\
to:
- Search in BBC news with the semantic support\\
Changed line 26 from:
- Search over Enron scandal emails\\
to:
- Search over Enron scandal emails\\
Changed lines 28-29 from:
- Search in Linkedin jobs with the semantic support
Search in Linkedin jobs and CVs with the semantic support\\
to:
- Search in Linkedin jobs with the semantic support
Search in Linkedin jobs and CVs with the semantic support\\
Changed line 31 from:
- Search in Dominique Strauss-Kahn scandal with the semantic support\\
to:
- Search in Dominique Strauss-Kahn scandal with the semantic support\\
Changed line 33 from:
- Search in ACM publications with the semantic support\\
to:
- Search in ACM publications with the semantic support\\
Changed line 7 from:
- LIGA - In-memory LInear large-scale GAzetteers\\
to:
- LIGA - in-memory LInear large-scale GAzetteers\\
Changed line 7 from:
- LIGA - In-memory LInear large-scale Gazetteers\\
to:
- LIGA - In-memory LInear large-scale GAzetteers\\
Changed line 7 from:
- LIGA - In Memory Linear LArge-scale Gazetteers\\
to:
- LIGA - In-memory LInear large-scale Gazetteers\\
Changed line 7 from:
- IMLAG - In Memory Linear LArge-scale Gazetteers\\
to:
- LIGA - In Memory Linear LArge-scale Gazetteers\\
Changed line 5 from:
- BSIP - Bayesian Shopping Item Predictor\\
to:
- SCIP - Shopping Cart Item Predictor\\
Changed line 3 from:
- LMSK - Lemmatizer and morphology for Slovak language\\
to:
- LEMOR - Lemmatizer and morphology for Slovak language\\
Changed line 7 from:
- IMLAG - In Memory Linear lArge-scale Gazetteers\\
to:
- IMLAG - In Memory Linear LArge-scale Gazetteers\\
Changed line 7 from:
- IMLAG - In Memory Linear Gazetteers\\
to:
- IMLAG - In Memory Linear lArge-scale Gazetteers\\
Changed line 5 from:
- BSCP - Bayesian Shopping Item Predictor\\
to:
- BSIP - Bayesian Shopping Item Predictor\\
Changed line 7 from:
- IMLG - In Memory Linear Gazetteers\\
to:
- IMLAG - In Memory Linear Gazetteers\\
Changed lines 3-4 from:
- Lemmatizer and morphology for Slovak language
LMSK - Lemmatizer and morphology annotator for Slovak language
to:
- LMSK - Lemmatizer and morphology for Slovak language
Lemmatizer and morphology annotator for Slovak language
Changed line 4 from:
Lemmatizer and morphology annotator for Slovak language
to:
LMSK - Lemmatizer and morphology annotator for Slovak language
Changed line 5 from:
- BSCP - Bayesian Shopping Ptem Predictor\\
to:
- BSCP - Bayesian Shopping Item Predictor\\
Changed line 5 from:
to:
- BSCP - Bayesian Shopping Ptem Predictor\\
Changed line 7 from:
to:
- IMLG - In Memory Linear Gazetteers\\
Changed lines 5-6 from:
- IKT Shopping cart item prediction
Shopping cart item predictor through Bayesian inference
to:
- IKT Bayesian predictor
Shopping cart item prediction through Bayesian inference
Changed line 38 from:
The architecture and the tools are originally designed and developed in the NAZOU project. Designed tools are chained in the IKT architecture. At the moment, several tools are continually developing but the architecture is adapted and involved with modern in-trend technologies e.g. with Nutch and Hadoop platform.
to:
The architecture and the tools are originally designed and developed in the NAZOU project. Designed tools are chained in the IKT architecture. At the moment, several tools are continually developing but the architecture is adapted and involved with modern in-trend technologies e.g. with Nutch and Hadoop platform.
Changed line 16 from:
Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email\\
to:
Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email\\
Changed line 5 from:
- IKT Shopping cart item prediction\\
to:
- IKT Shopping cart item prediction\\
Changed line 6 from:
Shopping cart item predictor using Bayesian inference
to:
Shopping cart item predictor through Bayesian inference
Changed line 12 from:
Graph based Semantic Search is used for entity relation discovery in unstructured text. It is based on Email Social Network Search
to:
Graph based Semantic Search is used for entity relation discovery in unstructured text, which is based on Email Social Network Search
Changed line 10 from:
Pattern based annotation platform. Originally started within NAZOU project as Ontea
to:
Pattern based annotation platform, which originally started within NAZOU project as Ontea
Changed line 6 from:
Shopping cart item predictor for a chain of convenience stores
to:
Shopping cart item predictor using Bayesian inference
Changed line 48 from:
The tool objective is to extract useful information from the webpage contents downloaded and stored in corporate memory.
to:
The tool objective is to extract useful information from the webpage contents downloaded and stored in the Corporate Memory.
Changed line 48 from:
The main tool objective is to extract useful information from the content of webpages downloaded and stored in corporate memory.
to:
The tool objective is to extract useful information from the webpage contents downloaded and stored in corporate memory.
Changed line 18 from:
Hadoop scalable information processing with plug-ins for parsing and information extraction
to:
Hadoop scalable information processing with plug-ins for parsing and information extraction
Changed line 15 from:
Platform for scalable information processing
to:
Platform for scalable information processing
Changed line 18 from:
Hadoop scalable information processing with plug-ins for parsing and information extraction
to:
Hadoop scalable information processing with plug-ins for parsing and information extraction
Changed line 15 from:
Platform for scalable information processing
to:
Platform for scalable information processing
Changed line 18 from:
Hadoop scalable information processing with plug-ins for parsing and information extraction
to:
Hadoop scalable information processing with plug-ins for parsing and information extraction
Changed line 37 from:
IKT tool chain
to:
IKT tool chain
Deleted line 52:
Changed line 16 from:
Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email\\
to:
Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email\\
Changed line 16 from:
Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email\\
to:
Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email\\
Changed lines 16-17 from:
Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email
to:
Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email
Changed line 15 from:
Tools chain for scalable information processing
to:
Platform for scalable information processing
Deleted line 2:
- Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email
Added lines 16-17:
Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email
Changed lines 14-16 from:
- Email Social Network Search
Email Social Network Search explores new approach for searching email archives as knowledge repository
to:
Added lines 55-56:
- Email Social Network Search
Email Social Network Search explores new approach for searching email archives as knowledge repository
Changed lines 36-49 from:
Discontinued tools
- SGDB
Simple Graph Database optimised for fast graph traversing
- ACoMA
Acoma process email communication on server side and attach relevant knowledge to email messages.
- AgentOWL
Agents with OWL ontology models using JADE agent system and Jena
- EMBET
Experience Management based on Text Notes - Active and Context sensitive Recommendation System
- SETH
SETH is a software effort to deeply integrate Python with Web Ontology Language (OWL-DL dialect)
- wsrf2owl-s
WSRF2OWL-S generates the semantic descriptions of the web and grid services.
to:
Added lines 54-67:
Discontinued tools
- SGDB
Simple Graph Database optimised for fast graph traversing
- ACoMA
Acoma process email communication on server side and attach relevant knowledge to email messages.
- AgentOWL
Agents with OWL ontology models using JADE agent system and Jena
- EMBET
Experience Management based on Text Notes - Active and Context sensitive Recommendation System
- SETH
SETH is a software effort to deeply integrate Python with Web Ontology Language (OWL-DL dialect)
- wsrf2owl-s
WSRF2OWL-S generates the semantic descriptions of the web and grid services.
Changed lines 47-48 from:
to:
- wsrf2owl-s
WSRF2OWL-S generates the semantic descriptions of the web and grid services.
Changed lines 66-67 from:
- wsrf2owl-s
WSRF2OWL-S generates the semantic descriptions of the web and grid services.
to:
Deleted lines 52-55:
- Ontea
Ontology based Text Annotation using Regular Expression Patterns
- RDB2Onto
Tool for Relational Data to Ontology Individuals Mapping
Added lines 61-64:
- Ontea
Ontology based Text Annotation using Regular Expression Patterns
- RDB2Onto
Tool for Relational Data to Ontology Individuals Mapping
Added lines 59-60:
- ERID
Estimate Relevance of Internet Documents
Deleted lines 62-63:
- ERID
Estimate Relevance of Internet Documents
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to:
Added lines 61-62:
Estimate Relevance of Internet Documents
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Use cases
to:
Use cases of the platform for monitoring web
Deleted lines 13-14:
- SGDB
Simple Graph Database optimised for fast graph traversing
Added lines 37-38:
- SGDB
Simple Graph Database optimised for fast graph traversing
Changed line 11 from:
Pattern based annotation platform. Originally started within NAZOU project as Ontea - Ontology based Text Annotation using Regular Expression Patterns
to:
Pattern based annotation platform. Originally started within NAZOU project as Ontea
Changed line 11 from:
Pattern based annotation platform. Originally started within NAZOU project as Ontology based Text Annotation using Regular Expression Patterns
to:
Pattern based annotation platform. Originally started within NAZOU project as Ontea - Ontology based Text Annotation using Regular Expression Patterns
Added lines 53-54:
- Ontea
Ontology based Text Annotation using Regular Expression Patterns
Changed line 9 from:
Standalone tools for NLP (Natural Language Processing) implemented in Java
to:
Standalone contain extraction tools for NLP (Natural Language Processing)
Changed line 9 from:
Standalone tools for NLP (Natural Language Processing) implemented in Java by IKT Group
to:
Standalone tools for NLP (Natural Language Processing) implemented in Java
Changed lines 45-46 from:
to:
- SETH
SETH is a software effort to deeply integrate Python with Web Ontology Language (OWL-DL dialect)
Deleted lines 56-57:
- SETH
SETH is a software effort to deeply integrate Python with Web Ontology Language (OWL-DL dialect)
Changed line 32 from:
Comparing CVs and jobs description to support employers and employees to find suitable jobs
to:
Comparing CV and job descriptions to support employers and employees to find suitable jobs
Changed line 23 from:
Tools we currently not continue to develop
to:
Use cases
Added lines 37-38:
Discontinued tools
Deleted lines 36-37:
- RDB2Onto
Tool for Relational Data to Ontology Individuals Mapping
Added lines 49-50:
- RDB2Onto
Tool for Relational Data to Ontology Individuals Mapping
Changed line 48 from:
The architecture and the tools are originally designed and developed in NAZOU project. They are also chained in the IKT architecture. Several tools are continually developing but the architecture is adapted and involved with modern in-trend technologies e.g. with Nutch and Hadoop platform.
to:
The architecture and the tools are originally designed and developed in the NAZOU project. Designed tools are chained in the IKT architecture. At the moment, several tools are continually developing but the architecture is adapted and involved with modern in-trend technologies e.g. with Nutch and Hadoop platform.
Changed lines 44-46 from:
to:
Experience Management based on Text Notes - Active and Context sensitive Recommendation System
Deleted line 50:
Experience Management based on Text Notes - Active and Context sensitive Recommendation System
Added lines 44-50:
IKT tool chain
The architecture and the tools are originally designed and developed in NAZOU project. They are also chained in the IKT architecture. Several tools are continually developing but the architecture is adapted and involved with modern in-trend technologies e.g. with Nutch and Hadoop platform.
http://ikt.ui.sav.sk/image/sav-retazec-dataview-small.png
Deleted lines 61-66:
Tools chained in NAZOU project
Tools developed in NAZOU project chained in architecture. We continue developing some of the tools but architecture was chainged for Nutch and Hadoop platform.
http://ikt.ui.sav.sk/image/sav-retazec-dataview-small.png
Changed line 7 from:
Shopping cart item predictor for gas stations
to:
Shopping cart item predictor for a chain of convenience stores
Added lines 51-52:
- ExPoS design
The main tool objective is to extract useful information from the content of webpages downloaded and stored in corporate memory.
Deleted lines 11-12:
- Infamous Gorila files scandal
Searching and reasoning over Gorila files
Changed lines 24-25 from:
to:
- Infamous Gorila files scandal
Searching and reasoning over Gorila files
Added lines 14-15:
- gSemSearch
Graph based Semantic Search is used for entity relation discovery in unstructured text. It is based on Email Social Network Search
Deleted lines 19-20:
- gSemSearch
Graph based Semantic Search is used for entity relation discovery in unstructured text. It is based on Email Social Network Search
Added lines 8-9:
- IKT Gazetteers
Standalone tools for NLP (Natural Language Processing) implemented in Java by IKT Group
Deleted lines 11-12:
- IKT Gazetteers
Standalone tools for NLP (Natural Language Processing) implemented in Java by IKT Group
Changed line 6 from:
- Shopping cart item prediction\\
to:
- IKT Shopping cart item prediction\\
Added lines 8-11:
- IKT Ontea
Pattern based annotation platform. Originally started within NAZOU project as Ontology based Text Annotation using Regular Expression Patterns
- IKT Gazetteers
Standalone tools for NLP (Natural Language Processing) implemented in Java by IKT Group
Deleted lines 19-22:
- IKT Ontea
Pattern based annotation platform. Originally started within NAZOU project as Ontology based Text Annotation using Regular Expression Patterns
- IKT Gazetteers
Standalone tools for NLP (Natural Language Processing) implemented in Java by IKT Group
Changed line 4 from:
- Lemmatizer and morphology for Slovak language\\
to:
- Lemmatizer and morphology for Slovak language\\
Changed line 6 from:
- Shopping cart item prediction\\
to:
- Shopping cart item prediction\\
Changed line 8 from:
- Infamous Gorila files scandal\\
to:
- Infamous Gorila files scandal\\
Changed line 16 from:
to:
Added lines 18-19:
- IKT Gazetteers
Standalone tools for NLP (Natural Language Processing) implemented in Java by IKT Group
Changed line 3 from:
- Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please send us email
to:
- Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact us at email
Changed line 3 from:
- Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please click More information about Platform
to:
- Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please send us email
Changed line 3 from:
- Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact More information about Platform
to:
- Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please click More information about Platform
Changed line 3 from:
- Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact email me
to:
- Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact More information about Platform
Added line 3:
- Platform for monitoring web (web pages, forums, RSS channels, news, Facebook, Twitter, etc...), information extraction, semantic search, full-text search, reasoning over data. For more information please contact email me
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Tools we currently not continue to develop.
to:
Tools we currently not continue to develop
Deleted lines 23-24:
- Search in ACM publications with the semantic support
Search and reasoning over ACM publications
Added lines 33-34:
- Search in ACM publications with the semantic support
Search and reasoning over ACM publications
Added lines 24-25:
- Search in ACM publications with the semantic support
Search and reasoning over ACM publications
Added lines 28-29:
- Search over Enron scandal emails
Reasoning over Enron scandal emails
Changed line 29 from:
Search in Dominique Strauss-Kahn scandal with the semantic support\\
to:
- Search in Dominique Strauss-Kahn scandal with the semantic support\\
Added lines 29-30:
Search in Dominique Strauss-Kahn scandal with the semantic support
Searching over news from Dominique Strauss-Kahn scandal
Changed line 24 from:
- Search in BBC news with the semantic support\\
to:
- Search in BBC news with the semantic support\\
Changed lines 26-27 from:
- Search in Linkedin jobs with the semantic support\\
to:
- Search in Linkedin jobs with the semantic support
Search in Linkedin jobs and CVs with the semantic support\\
Changed line 26 from:
- Search in Linkedin Jobs with the semantic support\\
to:
- Search in Linkedin jobs with the semantic support\\
Changed lines 6-8 from:
Shopping cart item predictor for Gas stations
to:
Shopping cart item predictor for gas stations
- Infamous Gorila files scandal
Searching and reasoning over Gorila files
Changed lines 25-27 from:
Search and reasoning application over BBC news
to:
Search and reasoning over BBC news
- Search in Linkedin Jobs with the semantic support
Comparing CVs and jobs description to support employers and employees to find suitable jobs
Added line 4:
Lemmatizer and morphology annotator for Slovak language
Changed line 6 from:
- Search in BBC news with the semantic support\\
to:
Shopping cart item predictor for Gas stations
Added lines 22-23:
- Search in BBC news with the semantic support
Search and reasoning application over BBC news
Added lines 3-5:
- Lemmatizer and morphology for Slovak language
* Shopping cart item prediction
* Search in BBC news with the semantic support\\
Changed line 16 from:
Tools we currently not continue to develop
to:
Tools we currently not continue to develop.
Added lines 7-8:
- gSemSearch
Graph based Semantic Search is used for entity relation discovery in unstructured text. It is based on Email Social Network Search
Changed line 1 from:
SOFTWARE
to:
Software and Tools
Changed line 1 from:
SOFTWARE
to:
SOFTWARE
Changed line 1 from:
to:
SOFTWARE
Changed line 10 from:
http://ikt.ui.sav.sk/image/architecture-hadoop.png
to:
http://ikt.ui.sav.sk/image/architecture-hadoop.png
Changed line 10 from:
http://ikt.ui.sav.sk/image/architecture-hadoop.png
to:
http://ikt.ui.sav.sk/image/architecture-hadoop.png
Changed line 10 from:
http://ikt.ui.sav.sk/image/architecture-hadoop.png
to:
http://ikt.ui.sav.sk/image/architecture-hadoop.png
Changed line 10 from:
http://ikt.ui.sav.sk/image/architecture-hadoop.png
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http://ikt.ui.sav.sk/image/architecture-hadoop.png
Changed line 10 from:
http://ikt.ui.sav.sk/image/architecture-hadoop.png
to:
http://ikt.ui.sav.sk/image/architecture-hadoop.png
Changed line 10 from:
http://ikt.ui.sav.sk/image/architecture-hadoop.png
to:
http://ikt.ui.sav.sk/image/architecture-hadoop.png
Changed line 10 from:
http://ikt.ui.sav.sk/image/architecture-hadoop.png
to:
http://ikt.ui.sav.sk/image/architecture-hadoop.png
Changed lines 9-10 from:
to:
Hadoop scalable information processing with plug-ins for parsing and information extraction
http://ikt.ui.sav.sk/image/architecture-hadoop.png
Added lines 8-11:
Tools chain for scalable information processing
Picture here
Deleted lines 30-32:
New Tools chain
Picture here
Added lines 1-2:
- SGDB
Simple Graph Database optimised for fast graph traversing
Changed line 30 from:
Tools chained in NAZOU project
to:
Tools chained in NAZOU project
Changed lines 6-7 from:
Tools we currently not continue to develop
to:
Tools we currently not continue to develop
Changed line 25 from:
New Tools chain
to:
New Tools chain
Changed lines 6-7 from:
''Tools we currently not continue to develop
to:
Tools we currently not continue to develop
Changed lines 25-26 from:
to:
New Tools chain
Changed line 30 from:
''Tools chained in NAZOU project
to:
Tools chained in NAZOU project
Changed line 16 from:
to:
Changed line 21 from:
WebCrawler downloads recursively web pages. Only relevant documents are downloaded estimating relevance using ERID.
to:
WebCrawler downloads recursively web pages. Only relevant documents are downloaded estimating relevance using ERID.
Changed line 4 from:
Pattern based annotation platform. Originally started within NAZOU project as Ontology based Text Annotation using Regular Expression Patterns
to:
Pattern based annotation platform. Originally started within NAZOU project as Ontology based Text Annotation using Regular Expression Patterns
Changed lines 6-7 from:
Tools we currently not continue to develop
to:
''Tools we currently not continue to develop
Changed lines 25-28 from:
New Tools chain
Tools chained in NAZOU project
to:
''New Tools chain
Picture here
''Tools chained in NAZOU project
Changed line 1 from:
- Email Social Network Search
to:
- Email Social Network Search\\
Changed line 19 from:
- [[http://nazou.fiit.stuba.sk/home/?page=webcrawler | WEBCRAWLER]\\
to:
Added lines 1-28:
- Email Social Network Search
Email Social Network Search explores new approach for searching email archives as knowledge repository
- Ontea
Pattern based annotation platform. Originally started within NAZOU project as Ontology based Text Annotation using Regular Expression Patterns
Tools we currently not continue to develop
- RDB2Onto
Tool for Relational Data to Ontology Individuals Mapping
- ACoMA
Acoma process email communication on server side and attach relevant knowledge to email messages.
- AgentOWL
Agents with OWL ontology models using JADE agent system and Jena
- EMBET
Experience Management based on Text Notes - Active and Context sensitive Recommendation System
- RIDAR
Relevant Internet Data Resource Identification
- SETH
SETH is a software effort to deeply integrate Python with Web Ontology Language (OWL-DL dialect)
- WEBCRAWLER]
WebCrawler downloads recursively web pages. Only relevant documents are downloaded estimating relevance using [[http://nazou.fiit.stuba.sk/home/?page=erid-gatial | ERID.
- wsrf2owl-s
WSRF2OWL-S generates the semantic descriptions of the web and grid services.
New Tools chain
Tools chained in NAZOU project
Tools developed in NAZOU project chained in architecture. We continue developing some of the tools but architecture was chainged for Nutch and Hadoop platform.
Added line 1:
http://ikt.ui.sav.sk/image/sav-retazec-dataview-small.png