Cross-lingual information retrieval by feature vectors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4592 LNCS, Issue , 2007, Pages 229-239

  Lilleng, Jeanine ^a   Tomassen, Stein L ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

Cross lingual information retrieval; Feature vector; Query expansion

Indexed keywords

DATA REDUCTION; FEATURE EXTRACTION; QUERY PROCESSING; TRANSLATION (LANGUAGES);

QUERY EXPANSION; QUERY TRANSLATION;

INFORMATION RETRIEVAL;

EID: 38149084332     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73351-5_20     Document Type: Conference Paper

References (34)

1. Google: 3 Billion Document Index (22.02.2007) http://www.google.eom/3. html
2. Search Engine Size Wars V Erupts (22.02.2007) http://blog. searchenginewatch.com/blog/041111-084221
3. Internet world users by language (22.02.2007) http://www. internetworldstats.com/stats7.htm
4. Allan, J. et al.: Challenges in Information Retrieval and Language Modelling: report of a workshop held at the centre for intelligent information retrieval (2002)
5. Babelplex (22.02.2007) http://babelplex.com/
6. Google Translate (22.02.2007) http://www.google.com/translate
7. Gulla, J.A., Auran, P.G., Risvik, K.M.: Linguistic Techniques in Large-Scale Search Engines. Fast Search & Transfer, p. 15 (2002)
8. Spink, A., Wolfram, D., Jansen, M.B.J., Saracevic, T.: Searching the Web: the public and their queries. J. Am. Soc. Inf. Sci. Technol. 52, 226-234 (2001)
9. Gulla, J.A., Tomassen, S.L., Strasunskas, D.: Semantic Interoperability in the Norwegian Petroleum Industry. In: Karagiannis, D., Mayer, H.C (eds.) Proceedings of the 5th International Conference on Information Systems Technology and its Applications (ISTA 2006) vol. P-84. Köllen Druck+Verlag GmbH, Bonn, Klagenfurt, Austria pp. 81-94 (2006)
10. Gruber, T.R.: A translation approach to portable ontology specifications. Knowledge Acquisition 5, 199-220 (1993)
11. Tomassen, S.L., Strasunskas, D.: Query Terms Abstraction Layers. In: Meersman, R., Tari, Z., Herrero, P. (eds.) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. LNCS, vol. 4278, pp. 1786-1795. Springer, Heidelberg (2006)
12. Tomassen, S.L., Gulla, J.A., Strasunskas, D.: Document Space Adapted Ontology: Application in Query Enrichment. In: Kop, C., Fliedl, G., Mayr, H.C., Métais, E. (eds.) NLDB 2006. LNCS, vol. 3999, pp. 46-57. Springer, Heidelberg (2006)
13. Kiryakov, A., Popov, B., Terziev, I., Manov, D., Ognyanoff, D.: Semantic Annotation, Indexing, and Retrieval. Journal of Web Semantics 2(1) (2005)
14. Nagypal, G.: Improving Information Retrieval Effectiveness by Using Domain Knowledge Stored in Ontologies. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM Workshops 2005. LNCS, vol. 3762, pp. 780-789. Springer, Heidelberg (2005)
15. Paralic, J., Kostial, I.: Ontology-based Information Retrieval. Information and Intelligent Systems, Croatia, pp. 23-28 (2003)
16. Rajapakse, R.K., Denham, M.: Text retrieval with more realistic concept matching and reinforcement learning. Information Processing & Management 42, 1260-1275 (2006)
17. Grootjen, F.A., van der Weide, T.P.: Conceptual query expansion. Data. & Knowledge Engineering 56, 174-193 (2006)
18. Qiu, Y., Frei, H.-P.: Concept based query expansion. In: Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 160-169. ACM Press, Pittsburgh, Pennsylvania, USA (1993)
19. Chang, Y., Ounis, I., Kim, M.: Query reformulation using automatically generated query concepts from a document space. Information Processing and Management 42, 453-468 (2006)
20. Adi, T., Ewell, O.K., Adi, P.: High Selectivity and Accuracy with READWARE's Automated System of Knowledge Organization. Management Information Technologies, Inc. (MITi) (1999)
21. Chenggang, W., Wenpin, J., Qijia, T., et al.: An information retrieval server based on ontology and multiagent. Journal of computer research & development 38(6), 641-647 (2001)
22. Ciorǎscu, C., Ciorǎscu, I., Stoffel, K.: knOWLer - Ontological Support for Information Retrieval Systems. In: Proceedings of Sigir 2003 Conference, Workshop on Semantic Web, Toronto, Canada (2003)
23. th International Workshop on Database and Expert Systems
24. Ozcan, R., Aslangdogan, Y.A.: Concept Based Information Access Using Ontologies and Latent Semantic Analysis. Technical Report CSE-2004-8. University of Texas at Arlington 16 (2004)
25. WordNet (22.02.2007) http://wordnet.princeton.edu/
26. Davis, M.W., Ogden, W.C.: QUILT: implementing a large-scale cross-language text retrieval system. In: 20th annual international ACM SIGIR conference on Research and development in information retrieval, Philadelphia, Pennsylvania, United States (1997)
27. Chen, H.-H. et al.: Resolving translation ambiguity and target polysemy in cross-language information retrieval. In: Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics, College Park, Maryland (1999)
28. Stokoe, C. et al.: Word sense disambiguation in information retrieval revisited. In: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, Toronto, Canada (2003)
29. Liu, S. et al.: Word sense disambiguation in queries. In: Proceedings of the 14th ACM international conference on Information and knowledge management, Bremen, Germany (2005)
30. Fung, P.: A Statistical View on Bilingual Lexicon Extraction: From Parallel Corpora to Non-parallel Corpora (1998)
31. Wikipedia (22.02.2007) http://en.wikipedia.org
32. English Wörterbuch (14.02.2007) http://dict.leo.org/
33. Duden (14.02.2007) http://www.duden-suche.de/
34. Das digitale Wörterbuch der deutchen Sprache des 20. Jh (14.02.2007) http://www.dwds.de/