Learning semantic query suggestions

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

Volumn 5823 LNCS, Issue , 2009, Pages 424-440

  MarcBron, Edgar Meij ^a   Hollink, Laura ^b   Huurnink, Bouke ^a   De Rijke, Maarten ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; ONLINE SEARCHING; SEARCH ENGINES; SUPERVISED LEARNING;

FEATURE BASED APPROACHES; HUMAN ASSESSMENT; LEARNING SEMANTICS; QUERY TRANSFORMATIONS; SEMANTIC CONCEPT; SEMANTIC WEB TECHNOLOGY; SUPERVISED MACHINE LEARNING; TRANSACTION LOG;

SEMANTIC WEB;

EID: 78650491554     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04930-9_27     Document Type: Conference Paper

References (40)

1. Aleksovski, Z., Klein, M., ten Kate, W., van Harmelen, F.: Matching unstructured vocabularies using a background ontology. In: Staab, S., Svátek, V. (eds.) EKAW 2006. LNCS (LNAI), vol. 4248, pp. 182-197. Springer, Heidelberg (2006).
2. Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.G.: Dbpedia: A nucleus for a web of open data. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 722-735. Springer, Heidelberg (2007).
3. Auer, S., Lehmann, J.:What have Innsbruck and Leipzig in common? Extracting semantics from wiki content. In: The Semantic Web: Research and Applications (2007).
4. Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison Wesley, Reading (1999).
5. Beitzel, S.M., Jensen, E.C., Chowdhury, A., Grossman, D., Frieder, O.: Hourly analysis of a very large topically categorized web query log. In: SIGIR 2004 (2004).
6. Bendersky, M., Croft, W.B.: Discovering key concepts in verbose queries. In: SIGIR 2008 (2008).
7. Bendersky, M., Croft, W.B.: Analysis of long queries in a large scale search log. In: WSCD 2009 (2009).
8. Bhole, A., Fortuna, B., Grobelnik, M., Mladenic, D.: Extracting named entities and relating them over time based on wikipedia. Informatica 4(4), 463-468 (2007).
9. Bizer, C., Cyganiak, R., Auer, S., Kobilarov, G.: DBpedia-querying Wikipedia like a database. In: WWW2007 (2007).
10. Caracciolo, C., Euzenat, J., Hollink, L., Ichise, R., Isaac, A., Malaisé, V., Meilicke, C., Pane, J., Shvaiko, P., Stuckenschmidt, H., Šv́ab, O., Svátek, V.: Results of the OAEI 2008. In: The Third International Workshop on Ontology Matching at ISWC (2008).
11. Chemudugunta, C., Holloway, A., Smyth, P., Steyvers, M.: Modeling documents by combining semantic concepts with unsupervised statistical learning. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 229-244. Springer, Heidelberg (2008).
12. Church, K.W., Gale, W.A.: Inverse document frequency (IDF): A measure of deviations from poisson. In: Proc. Third Workshop on Very Large Corpora (1995).
13. Fellbaum, C., Palmer, M., Dang, H.T., Delfs, L., Wolf, S.: Manual and automatic semantic annotation with wordnet. WordNet and Other Lexical Resources (2001).
14. Guo, J., Xu, G., Cheng, X., Li, H.: Named entity recognition in query. In: SIGIR 2009 (2009).
15. Hiemstra, D.: Using Language Models for Information Retrieval. PhD thesis, University of Twente (2001).
16. Jansen, B.J., Goodrum, A., Spink, A.: Searching for multimedia: analysis of audio, video and image web queries. World Wide Web 3(4), 249-254 (2000).
17. Jansen, B.J., Spink, A., Blakely, C., Koshman, S.: Defining a session on web search engines. J. Am. Soc. Inf. Sci. Technol. 58(6), 862-871 (2007).
18. Jansen, B.J., Spink, A., Saracevic, T.: Real life, real users, and real needs: a study and analysis of user queries on the web. Information Processing and Management 36(2), 207-227 (2000).
19. John, G.H., Langley, P.: Estimating continuous distributions in bayesian classifiers. In: UAI 1995 (1995).
20. Kiryakov, A., Popov, B., Terziev, I., Manov, D., Ognyanoff, D.: Semantic annotation, indexing, and retrieval. J. Web Sem. 2(1), 49-79 (2004).
21. Manning, C.D., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008).
22. Mcguinness, D.L.: Ontologies come of age. In: Fensel, D., Hendler, J., Lieberman, H., Wahlster, W. (eds.) Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential. MIT Press, Cambridge (2003).
23. Meij, E., Mika, P., Zaragoza, H.: Investigating the demand side of semantic search through query log analysis. In: SemSearch 2009 (2009).
24. Mihalcea, R., Csomai, A.: Wikify!: Linking documents to encyclopedic knowledge. In: CIKM 2007 (2007).
25. Milne, D., Witten, I.H.: Learning to link with wikipedia. In:CIKM 2008 (2008).
26. Mishne, G., de Rijke, M.: A study of blog search. In: Lalmas, M., MacFarlane, A., Rüger, S.M., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds.) ECIR 2006. LNCS, vol. 3936, pp. 289-301. Springer, Heidelberg (2006).
27. Platt, J.C.: Fast training of support vector machines using sequential minimal optimization. In: Advances in kernel methods: support vector learning. MIT Press, Cambridge (1999).
28. Ponte, J.M., Croft, W.B.: A language modeling approach to information retrieval. In: SIGIR 1998 (1998).
29. Quinlan, R.J.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993).
30. Shvaiko, P., Euzenat, J.: A survey of schema-based matching approaches. Journal on Data Semantics 4(3730), 146-171 (2005).
31. Spink, A., Jansen, B.J., Wolfram, D., Saracevic, T.: From e-sex to e-commerce: Web search changes. IEEE Computer 35(3), 107-109 (2002).
32. Stoilos, G., Stamou, G., Kollias, S.D.: A string metric for ontology alignment. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 624-637. Springer, Heidelberg (2005).
33. Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: a core of semantic knowledge. In: WWW 2007 (2007).
34. van Hage, W.R., de Rijke, M., Marx, M.: Information retrieval support for ontology construction and use. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 518-533. Springer, Heidelberg (2004).
35. Vapnik, V.N.: The nature of statistical learning theory. Springer, Heidelberg (1995).
36. Wang, S., Englebienne, G., Schlobach, S.: Learning concept mappings from instance similarity. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 339-355. Springer, Heidelberg (2008).
37. Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, San Francisco (2005).
38. Yang, Y., Pedersen, J.O.: A comparative study on feature selection in text categorization. In: ICML 1997 (1997).
39. Zhai, C., Lafferty, J.: A study of smoothing methods for language models applied to information retrieval. ACM Trans. Inf. Syst. 22(2), 179-214 (2004).
40. Zhou, Y., Croft, B.W.: Query performance prediction in web search environments. In: SIGIR 2007 (2007).