Principal Investigator: 

Martin Nečaský

Provider: 

TAČR

Grant id: 

TA02010182

Duration: 

2012-2015

Tags: 

Data

Linked data

Tools

People: 

Barbora Vidová Hladká

Vincent Čeněk Kríž

Projects: 

Czech Court Decisions Dataset

JTagger

Czech Legal Text Treebank

INTLIB

Intelligent library

The aim is to provide a more efficient and user-friendly tool for querying textual documents than full-text. On the input we assume a collection of documents related to a particular problem domain (e.g., legislation, medicine, environment, architecture, etc.). In the first phase we extract from the documents a knowledge base -- a set of objects and their relationship -- using natural language processing tools. In the second phase we deal with efficient and user friendly visualization and browsing (querying) of the extracted knowledge. The whole system is proposed as a general framework which can be modified and extended for particular data domains. To depicts its features we use the legislation and environmental domains.

Partners

• SYSNET s.r.o
• Department of Software Engineering, MFF UK
• Institute of Formal and Applied linguistics, MFF UK

Publications

• Hladká Barbora, Holub Martin and Kríž Vincent: Feature Engineering in the NLI Shared Task 2013: Charles University Submission Report. Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications, pages 232–241, Atlanta, Georgia, June 13 2013
   
• Holubová Irena, Knap Tomáš, Kríž Vincent, Nečaský Martin, Hladká Barbora: INTLIB - an INTelligent LIBrary. In: Proceedings of the Dateso 2014 Annual International Workshop on DAtabases, TExts, Specifications and Objects, Copyright © Czech Technical University in Prague, Faculty of Information Technology, Praha, Czechia, ISBN 978-80-01-05482-6, ISSN 1613-0073, pp. 13-24, 2014
   
• Jakub Klímek, Jiří Helmich, Martin Nečaský: Application of the Linked Data Visualization Model on Real World Data from the Czech LOD Cloud. Proceedings of the Workshop on Linked Data on the Web co-located with the 23rd International World Wide Web Conference (WWW 2014), Seoul, Korea, April 8, 2014. CEUR-WS.org 2014 CEUR Workshop Proceedings.
   
• Jakub Klímek, Jiří Helmich, Martin Nečaský: Payola: Collaborative Linked Data Analysis and Visualization Framework. Proceedings of 10th Extended Semantic Web Conference (ESWC 2013), Satellite Events, Demonstration Session. Montpellier, France, May 2013. Springer, LNCS 7955. Pp 147-151. ISBN 978-3-642-41241-7.
   
• Tomáš Knap, Jan Michelfeit, Jakub Daniel, Petr Jerman, Dusan Rychnovský, Tomás Soukup, Martin Necaský: ODCleanStore: A Framework for Managing and Providing Integrated Linked Data on the Web. In the Proceedings of Web Information Systems Engineering - WISE 2012 - 13th International Conference, pp. 815 – 816. Paphos, Cyprus, November 28-30, 2012. Lecture Notes in Computer Science 7651 Springer 2012, ISBN 978-3-642-35062-7.
   
• Jakub Kozak, Martin Necasky, Jan Dedek, Jakub Klimek, Jaroslav Pokorny: Linked Open Data for Healthcare Professionals. Proceedings of the 15th International Conference on Information Integration and Web-based Applications&Services (iiWAS 2013), Vienna, Austria. ACM International Conference Proceeding Series. ISBN 978-1-4503-2113-6. Pages 400-409.
   
• Kríž Vincent: Detecting Semantic Relations in Texts and Their Integration with External Data Resources. In: WDS'13 Proceedings of Contributed Papers, Copyright © Matfyzpress, Praha, Czechia, ISBN 978-80-7378-250-4, pp. 18-23, 2013
   
• Kríž Vincent, Hladká Barbora: RExtractor: a Robust Information Extractor. In: Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, Copyright © Association for Computational Linguistics, Denver, CO, USA, pp. 21-25, 2015
   
• Kríž Vincent, Hladká Barbora, Nečaský Martin, Dědek Jan: Statistical Recognition of References in Czech Court Decisions. In: 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part I, Copyright © Springer International Publishing, Switzerland, ISBN 978-3-319-13646-2, pp. 51-61, 2014
   
• Kríž Vincent, Hladká Barbora, Nečaský Martin, Knap Tomáš: Data Extraction Using NLP Techniques and Its Transformation to Linked Data. In: 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part I, Copyright © Springer International Publishing, Switzerland, ISBN 978-3-319-13646-2, pp. 113-124, 2014
   
• Nečaský Martin, Knap Tomáš, Klímek Jakub, Holubová Irena, Hladká Barbora: Linked Open Data for Legislative Domain - Ontology and Experimental Data. In: Lecture Notes in Business Information Processing, Copyright © Springer Berlin Heidelberg, ISBN 978-3-642-41686-6, pp. 172-183, 2013.
   
• Jakub Stárka, Irena Holubová, Martin Nečaský. Strigil: A Framework for Data Extraction in Semi-Structured Web Documents. Proceedings of the 15th International Conference on Information Integration and Web-based Applications&Services (iiWAS 2013), Vienna, Austria. ACM International Conference Proceeding Series. ISBN 978-1-4503-2113-6. Pages 453 – 462.