Information extraction as an ontology population task and its application to genie interactions

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn 2, Issue , 2008, Pages 74-81

  Manine, Alain Pierre ^a   Alphonse, Erick ^a   Bessières, Philippe ^b  

^a UNIVERSITÉ PARIS 13   (France)

^b INRA Institut National de la Recherche Agronomique   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTION LEVELS; BACILLUS SUBTILIS; CONCEPTUAL RELATIONS; DOMAIN KNOWLEDGES; EXTRACTION PROCESSES; EXTRACTION RULES; FORMAL REPRESENTATIONS; IE SYSTEMS; INFERENCE RULES; INFORMATION EXTRACTIONS; INTERMEDIATE LEVELS; NATURAL LANGUAGE PROCESSING; ONTOLOGY POPULATIONS; QUERY MODULES; RESEARCH ISSUES; TEXT CORPORA; TEXT EXTRACTIONS; TEXT REPRESENTATIONS;

ABSTRACTING; ARTIFICIAL INTELLIGENCE; BACTERIOLOGY; COMPUTATIONAL LINGUISTICS; FLOW INTERACTIONS; INFORMATION ANALYSIS; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; POPULATION STATISTICS; THEOREM PROVING;

ONTOLOGY;

EID: 57649224064     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2008.117     Document Type: Conference Paper

References (34)

1. H. Alani, S. Kim, D. E. Millard, M. J. Weal, W. Hall, P. H. Lewis, and N. R. Shadbolt. Automatic ontology-based knowledge extraction from web documents. IEEE Intelligent Systems, 18(1):14-21, 2003.
2. E. Alphonse, S. Aubin, P. Bessières, G. Bisson, T. Hamon, S. Lagarrigue, A. Nazarenko, A.-P. Manine, C. Nédellec, M. O. A. Vetah, T. Poibeau, and D. Weissenbacher. Event-based information extraction for the biomedical domain: the Caderige project. In Proc. Intl. Workshop NLP in Biomedicine and its Applications, pages 43-49, 2004.
3. E. Alphonse and C. Rouveirol. Extension of the top-down data-driven strategy to ILP. In Proc. Conf. Inductive Logic Programming, pages 49-63, 2006. Springer Verlag.
4. S. Aubin. LLL challenge - Syntactic analysis guidelines. Technical report, LIPN, Univ. Paris 13, 2005.
5. D. Bourigault and C. Jacquemin. Construction de ressources terminologiques. In J.-M. Pierrel, editor, Ingénierie des langues, pages 215-233. Hermès Science, 2000.
6. D. Brickley and R. Guha. RDF vocabulary description language 1.0: RDF schema. W3C recommendation, 2004.
7. D. Brickley and A. Miles. SKOS core vocabulary specification. W3C working draft, 2005.
8. P. Buitelaar, P. Cimiano, and B. Magnini. Ontology learning from text: An overview. Ontology Learning from Text: Methods, Evaluation and Applications, vol. 123 of Frontiers in Artificial Intelligence and Applications. IOS Press, 2005.
9. P. Buitelaar, P. Cimiano, S. Racioppa, and M. Siegel. Ontology-based information extraction with SOBA. In Proc. Intl. Conf. Language Resources and Evaluation, pages 2321-2324, 2006.
10. P. Buitelaar, M. Sintek, and M. Kiesel. A multilingual/multimedia lexicon model for ontologies. Proc. 3th Eur. Semantic Web Conference, volume 4011 of LNCS, pages 502-513. Springer Verlag, 2006.
11. P. Cimiano. Ontology-driven discourse analysis in GenIE. In A. Düsterhöft and B. Thalheim, editors, Proc. 8th Intl. Conf. Applications of Natural Language to Information Systems, volume 29 of LNI, pages 77-90. GI, 2003.
12. P. Cimiano, P. Haase, M. Herold, M. Mantel, and P. Buitelaar. LexOnto: A model for ontology lexicons for ontology-based NLP. In Proc. OntoLex07 Workshop, 2007.
13. N. Daraselia, A. Yuryev, S. Egorov, S. Novichkova, A. Nikitin, and I. Mazo. Extracting human protein interactions from MEDLINE using a full-sentence parser. Bioinformatics, 20(5):604-611, 2004.
14. C. Friedman, P. Kra, and A. Rzhetsky. Two biomedical sublanguages: a description based on the theories of Zellig Harris. J. Biomedical Informatics, 35(4):222-235, 2002.
15. C. Friedman, P. Kra, H. Yu, M. Krauthammer, and A. Rzhetsky. GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles. Bioinformatics, 17(Suppl. 1):S74-S82, 2001.
16. R. Gaizauskas, G. Demetriou, P. Artymiuk, and P. Willett. Protein structures and information extraction from biological texts: The PASTA system. Bioinformatics, 19(1): 135-143, 2003.
17. A. Gómez-Pérez. Ontological engineering: A state of the art. Expert Update, 2(3):33-43, 1999.
18. S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM - Semi-automatic CREAtion of Metadata. In Proc. Eur. Conf. Knowledge Acquisition and Management, 2002.
19. S. Huffman. Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing, chapter Learning Information Extraction Patterns from Examples. Springer Verlag, 1996.
20. M. Kifer, G. Lausen, and J. Wu. Logical foundations of object-oriented and frame-based languages. J. ACM, 42(4):741-843, 1995.
21. Y. Li, K. Bontcheva, and H. Cunningham. Hierarchical, Perceptron-like Learning for Ontology Based Information Extraction. In 16th Intl. World Wide Web Conf. (WWW2007), pages 777-786, 2007.
22. D. Lin and P. Pantel. DIRT - discovery of inference rules from text. In Proc. 7th Intl. Conf. Knowledge Discovery and Data mining, pages 323-328, 2001. ACM.
23. A. Maedche, G. Neumann, and S. Staab. Bootstrapping an ontology-based information extraction system. In Intelligent exploration of the web, pages 345-359, 2003.
24. D. McGuinness and F. van Harmelen. OWL web ontology language overview: W3C recommendation 10 february 2004. Technical report, W3C, February 2004.
25. Y. Miyao, T. Ohta, K. Masuda, Y. Tsuruoka, K. Yoshida, T. Ninomiya, and J. Tsujii. Semantic retrieval for the accurate identification of relational concepts in massive textbases. In Proc. COLING-ACL 2006, pages 1017-1024, 2006.
26. S. Muggleton and L. D. Raedt. Inductive Logic Programming: Theory and methods. J. Logic Programming, 19, 20:629-679, 1994.
27. C. Nédellec. Learning language in logic - Genie interaction extraction challenge. In J. Cussens and C. Nédellec, editors, Proc. 4th Learning Language in Logic Workshop (LLL05), pages 31-37, 2005.
28. N. Noy, M. Sintek, S. Decker, M. Crubézy, R. Fergerson, and M. Musen. Creating semantic web contents with Protégé-2000. IEEE Intelligent Systems, 16(2):60-71, 2001.
29. K. Oda, J.-D. Kim, T. Ohta, D. Okanohara, T. Matsuzaki, Y. Tateisi, and J. Tsujii. New challenges for text mining: mapping between text and manually curated pathways. BMC Bioinformatics, 9(Suppl 3):S5, 2008.
30. J. Park and J.-J. Kim. Text Mining for Biology, chapter Named Entity Recognition. Artech House Books, 2006.
31. B. Popov, A. Kiryakov, D. Ognyanoff, D. Manov, and A. Kirilov. KIM: a semantic platform for information extraction and retrieval. Natural Language Engineering, 10(3-4):375-392, 2004.
32. F. Rastier. Le terme: entre ontologie et linguistique. In La banque des mots, pages 35-65. CILF, 1995.
33. J. Saric, L. Jensen, R. Ouzounova, I. Rojas, and P. Bork. Large-scale extraction of protein/gene relations for model organisms. In 1st Intl. Symp. Semantic Mining in Biomedicine, 2005.
34. J. Völker, D. Vrandecic, Y. Sure, and A. Hotho. Learning disjointness. In E. Franconi, M. Kifer, and W. May, editors, Proc. 4th Eur. Semantic Web Conf., volume 4519 of LNCS, pages 175-189. Springer Verlag, 2007.