An Approach for Ontology-Based Information Extraction System Selection and Evaluation

• Autorzy: Konys A.

Warianty tytułu

PL

Dobór i ocena systemu ekstrakcji informacji opartego na ontologiach

• Języki publikacji: EN

Abstrakty

EN

The process of Information Extraction (IE) allows us to retrieve different types of information from natural language text by processing them automatically. Ontology-based information extraction (OBIE) is a subfield of information extraction. An increasing number of existing OBIE system may cause a problem with selection the most suitable solution. The general aim of this paper is to provide an approach for OBIE system selection and evaluation. It should ensure knowledge systematization and help users to find a proper solution that meets their needs.

PL

Zastosowanie ekstrakcji informacji pozwala na pozyskiwanie różnych typów informacji w języku naturalnym, jednocześnie umożliwiając automatyczne jego przetwarzanie. Systemy ekstrakcji informacji oparte na ontologiach są poddziedziną ekstrakcji informacji. Rosnąca ich liczba oraz różnorodność podkreślają ważność problemu, jednocześnie wskazując na możliwość występowania problemu związanego z ich doborem. Celem artykułu jest prezentacja podejścia wspierającego proces doboru i oceny systemów ekstrakcji informacji opartego na ontologiach.

Słowa kluczowe

EN

semantic web; ontology; information extraction

PL

Semantic Web; ekstrakcja informacji; ontologia

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2015
• Tom: R. 91, nr 11
• Strony: 205--209
• Opis fizyczny: Bibliogr. 29 poz., rys., tab.

Twórcy

autor

Konys A.

• Zachodniopomorski Uniwersytet Technologiczny w Szczecinie, Wydział Informatyki, Katedra Inżynierii Oprogramowania, Zakład Symulacji Komputerowej i Ochrony Informacji, ul. Żołnierska 52, 71-210 Szczecin

Bibliografia

• [1] Wimalasuriya D.C., Dou D., Ontology-based information extraction: An introduction and a survey of current approaches. Journal of Information Science, 36, (2010), No. 3, 306
• [2] Russell S., Norvig P., Artificial Intelligence: A Modern Approach, 2nd edition, Prentice-Hall, Englewood Cliffs, NJ (2003), 848-850
• [3] Riloff E., Information extraction as a stepping stone toward story understanding, In: Ram A., Moorman K., (eds), Understanding Language Understanding: Computational Models of Reading, MIT Press, Cambridge, MA (1999)
• [4] Maedche A., Neumann G., Staab S., Bootstrapping an Ontology-Based Information Extraction System, In: Studies in Fuzziness and Soft Computing, Intelligent Exploration of the Web, Springer, (2002)
• [5] Wimalasuriya D.C., Dou D., Using multiple ontologies in information extraction. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management, New York (2009)
• [6] Nebhi K., Ontology-Based Information Extraction from Twitter, Proceedings of the Workshop on Information Extraction and Entity Analytics on Social Media Data, Mumbai (2012), 17-22
• [7] Shah R., Jain S., Ontology-based Information Extraction: An Overview and a Study of different Approaches, International Journal of Computer Applications, 87, (2014), No. 4
• [8] Wu F., Weld D.S., Autonomously semantifying wikipedia. In: Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, New York (2007)
• [9] Kietz J., Maedche A., Volz R., A method for semi-automatic ontology acquisition from a corporate intranet. In: Proceedings of the EKAW’00 Workshop on Ontologies and Text, Springer, Berlin (2000)
• [10] Cimiano P., Handschuh S., Staab S., Towards the selfannotating web. In: Proceedings of the 13th International Conference on World Wide Web, New York (2004)
• [11] Maynard D., Peters W. Li Y., Metrics for evaluation of ontologybased information extraction. In: Proceedings of the WWW 2006 Workshop on Evaluation of Ontologies for the Web, New York (2006)
• [12] Wimalasuriya D.C., Dou D., Components for Information Extraction: Ontology-Based Information Extractors and Generic Platforms, CIKM’10, Canada, (2010)
• [13] Berners-Lee T. et. al., The Semantic Web, Scientific American (2001)
• [14] Ramprakash et. al., Role of Search Engines in Intelligent Information Retrieval on Web, Proceedings of the 2nd National Conference, India (2008)
• [15] Bedini I. et. al., Janus: Automatic Ontology Builder from XSD files, Proceedings of the World Wide Web Conference, Beijing, China (2010)
• [16] Bontcheva K., Tablan V., Maynard D., Cunningham H., Evolving GATE to meet new challenges in language engineering, Natural Language Engineering, 10, (2004), 349-373
• [17] Ferrucci D, Lally A (2004) UIMA: An Architectural Approach to Unstructured Information Processing in the Corporate Research Environment. Natural Language Engineering, 10 (3-4), 327–348
• [18] Drozdzynski W., Becker M., Krieger H.-U., Piskorski J., Schäfer U., Xu F., SProUT (Shallow Processing with Unification and Typed Feature Structures) (2002), available at: http://sprout.dfki.de
• [19] Buitelaar P., Siegel M., Ontology-based Information Extraction with SOBA. In: Proceedings of the 5th International Conference on Language Resources and Evaluation, Italy, (2006)
• [20] Maedche A., Staab S., The Text-To-Onto Ontology Learning Environment. In: Software Demonstration at the Eighth International Conference on Conceptual Structures, Springer- Verlag, Berlin, (2000)
• [21] Yildiz B., Miksch S., OntoX - a method for ontology-driven information extraction. In: Proceedings of the 2007 International Conference on Computational Science and Its Applications, Springer, Berlin, (2007)
• [22] Hahn U., Schnattinger K., Towards text knowledge engineering. In Proc. of 15th National Conference on Artificial Intelligence (AAAI-98), MIT Press, (1998), 524–531
• [23] Cimiano P., Staab S., Tane J., Automatic Acquisition of Taxonomies from Text: FCA meets NLP, In Proceedings of the ECML/PKDD Workshop on Adaptive Text Extraction and Mining, (2003), 10-17
• [24] Maynard D., Benchmarking ontology-based annotation tools for the semantic web, In UK e-Science Programme, All Hands Meeting (AHM2005) Workshop ”Text Mining, e-Research and Grid-enabled Language Technology”, (2005)
• [25] Maynard D., Peters W., Li Y., Metrics for evaluation of ontology-based information extraction, In WWW 2006 Workshop on ”Evaluation of Ontologies for the Web” (EON), Scotland, (2006)
• [26] Adrian, B.: Incorporating ontological background knowledge into Information Extraction. In: Maynard, D. (ed.), ISWC 2009: Doctoral Consortium, Washington, US (2009)
• [27] Li Y., Bontcheva K., Cunningham H., Perceptron-like learning for ontology based information extraction. Technical report, University of Sheffield, UK, (2006)
• [28] Konys A., A Tool Supporting Mining Based Approach Selection to Automatic Ontology Construction, In Proceedings of: th Multi Conference on Computer Science and Information Systems 2015 9th European Conference on Data Mining, Spain, (2015)
• [29] Konys A., Knowledge-based Approach to Question Answering System Selection, 7th International Conference on Computational Collective Intelligence Technologies and Applications, Madrid, Spain, (2015)