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Chapter 3: Search for Knowledge

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Search Computing

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5950))

Abstract

There are major trends to advance the functionality of search engines to a more expressive semantic level. This is enabled by the advent of knowledge-sharing communities such as Wikipedia and the progress in automatically extracting entities and relationships from semistructured as well as natural-language Web sources. In addition, Semantic-Web-style ontologies, structured Deep-Web sources, and Social-Web networks and tagging communities can contribute towards a grand vision of turning the Web into a comprehensive knowledge base that can be efficiently searched with high precision. This vision and position paper discusses opportunities and challenges along this research avenue. The technical issues to be looked into include knowledge harvesting to construct large knowledge bases, searching for knowledge in terms of entities and relationships, and ranking the results of such queries.

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References

  1. Adar, E., Skinner, M., Weld, D.S.: Information Arbitrage across Multi-Lingual Wikipedia. In: WSDM 2009 (2009)

    Google Scholar 

  2. Jain, A., Ipeirotis, P.G., Doan, A., Gravano, L.: Join Optimization of Information Extraction Output: Quality Matters! In: ICDE 2009 (2009)

    Google Scholar 

  3. Amer-Yahia, S., Lalmas, M.: XML Search: Languages, INEX and Scoring. SIGMOD Record 35(4) (2006)

    Google Scholar 

  4. Anyanwu, K., Maduko, A., Sheth, A.P.: SPARQ2L: Towards Support for Subgraph Extraction Queries in RDF Databases. In: WWW 2007 (2007)

    Google Scholar 

  5. 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)

    Chapter  Google Scholar 

  6. Baeza-Yates, R.A., Ciaramita, M., Mika, P., Zaragoza, H.: Towards Semantic Search. In: Kapetanios, E., Sugumaran, V., Spiliopoulou, M. (eds.) NLDB 2008. LNCS, vol. 5039, pp. 4–11. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  7. Bhalotia, G., Hulgeri, A., Nakhe, C., Chakrabarti, S., Sudarshan, S.: Keyword Searching and Browsing in Databases using BANKS. In: ICDE 2002 (2002)

    Google Scholar 

  8. Breslin, J.G., Passant, A., Decker, S.: The Social Semantic Web. Springer, Heidelberg (2009)

    Book  Google Scholar 

  9. Bizer, C., Heath, T., Idehen, K., Berners-Lee, T.: Linked Data on the Web (LDOW 2008). In: WWW 2008 (2008)

    Google Scholar 

  10. Cafarella, M.J.: Extracting and Querying a Comprehensive Web Database. In: CIDR 2009 (2009)

    Google Scholar 

  11. Chaudhuri, S., Das, G., Hristidis, V., Weikum, G.: Probabilistic Information Retrieval Approach for Ranking of Database Query Results. ACM Trans. Database Syst. 31(3), 1134–1168 (2006)

    Article  Google Scholar 

  12. Ceri, S.: Search Computing. In: ICDE 2009 (2009)

    Google Scholar 

  13. Chakrabarti, S.: Dynamic Personalized Pagerank in Entity-Relation Graphs. In: WWW 2007 (2007)

    Google Scholar 

  14. Croft, W.B., Metzler, D., Strohman, T.: Search Engines - Information Retrieval in Practice. Addison-Wesley, Reading (2009)

    Google Scholar 

  15. G.: Towards a Universal Wordnet by Learning from Combined Evidence. In: CIKM 2009 (2009)

    Google Scholar 

  16. De Rose, P., Shen, W., Chen, F., Lee, Y., Burdick, D., Doan, A., Ramakrishnan, R.: DBLife: A Community Information Management Platform for the Database Research Community. In: CIDR 2007 (2007)

    Google Scholar 

  17. Doan, A., Gravano, L., Ramakrishnan, R., Vaithyanathan, S. (eds.): Special Issue on Information Extraction. SIGMOD Record, vol. 37(4) (2008)

    Google Scholar 

  18. Elbassuoni, S., Ramanath, M., Schenkel, R., Sydow, M., Weikum, G.: Language-model-based Ranking for Queries on RDF-Graphs. In: CIKM 2009 (2009)

    Google Scholar 

  19. Etzioni, O., Banko, M., Soderland, S., Weld, D.S.: Open Information Extraction from the Web. CACM 51(12) (2008)

    Google Scholar 

  20. Graupmann, J., Schenkel, R., Weikum, G.: The SphereSearch Engine for Unified Ranked Retrieval of Heterogeneous XML and Web Documents. In: VLDB 2005 (2005)

    Google Scholar 

  21. Hristidis, V., Hwang, H., Papakonstantinou, Y.: Authority-based Keyword Search in Databases. TODS 33(1) (2008)

    Google Scholar 

  22. Kasneci, G., Suchanek, F.M., Ifrim, G., Ramanath, M., Weikum, G.: NAGA: Searching and Ranking Knowledge. In: ICDE 2008 (2008)

    Google Scholar 

  23. Living Knowledge, http://livingknowledge-project.eu/

  24. Nie, Z., Ma, Y., Shi, S., Wen, J.-R., Ma, W.-Y.: Web Object Retrieval. In: WWW 2007 (2007)

    Google Scholar 

  25. Pasca, M.: Towards Temporal Web Search. In: SAC 2008 (2008)

    Google Scholar 

  26. Petkova, D., Croft, W.B.: Hierarchical Language Models for Expert Finding in Enterprise Corpora. In: ICTAI 2006, pp. 599–608 (2006)

    Google Scholar 

  27. Preda, N., Suchanek, F.M., Kasneci, G., Neumann, T., Ramanath, M., Weikum, G.: ANGIE: Active Knowledge for Interactive Exploration. PVLDB 2(2) (2009)

    Google Scholar 

  28. Sarawagi, S.: Information Extraction. Foundations and Trends in Databases 2(1) (2008)

    Google Scholar 

  29. SeCo: Search Computing, http://www.search-computing.it/

  30. Serdyukov, P., Hiemstra, D.: Modeling Documents as Mixtures of Persons for Expert Finding. In: Macdonald, C., Ounis, I., Plachouras, V., Ruthven, I., White, R.W. (eds.) ECIR 2008. LNCS, vol. 4956, pp. 309–320. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  31. Staab, S., Studer, R.: Handbook on Ontologies, 2nd edn. Springer, Heidelberg (2009)

    Book  MATH  Google Scholar 

  32. Stoyanovich, J., Bedathur, S.J., Berberich, K., Weikum, G.: EntityAuthority: Semantically Enriched Graph-Based Authority Propagation. In: WebDB 2007 (2007)

    Google Scholar 

  33. Suchanek, F.M., Kasneci, G., Weikum, G.: YAGO: a Core of Semantic Knowledge. In: WWW 2007 (2007)

    Google Scholar 

  34. Suchanek, F., Kasneci, G., Weikum, G.: YAGO: A Large Ontology from Wikipedia and WordNet. Journal of Web Semantics 6(39) (2008)

    Google Scholar 

  35. Suchanek, F., Sozio, M., Weikum, G.: SOFIE: a Self-Organizing Framework for Information Extraction. In: WWW 2009 (2009)

    Google Scholar 

  36. Taneva, B., Kacimi, M., Weikum, G.: Gathering and Ranking Photos of Named Entities with High Precision, High Recall, and Diversity. In: WSDM 2010 (2010)

    Google Scholar 

  37. Vallet, D., Zaragoza, H.: Inferring the Most Important Types of a Query: a Semantic Approach. In: SIGIR 2008 (2008)

    Google Scholar 

  38. Wang, Y., Zhu, M., Qu, L., Spaniol, M., Weikum, G.: Timely YAGO: Harvesting, Querying, and Visualizing Temporal Knowledge from Wikipedia, Demo Paper. In: EDBT 2010 (2010)

    Google Scholar 

  39. Weikum, G., Kasneci, G., Ramanath, M., Suchanek, F.: Database and Information-Retrieval Methods for Knowledge Discovery. CACM 52(4) (2009)

    Google Scholar 

  40. Wu, F., Weld, D.S.: Automatically Refining the Wikipedia Infobox Ontology. In: WWW 2008 (2008)

    Google Scholar 

  41. Zhang, Q., Suchanek, F.M., Yue, L., Weikum, G.: TOB: Timely Ontologies for Business Relations. In: WebDB 2008 (2008)

    Google Scholar 

  42. Zhu, J., Nie, Z., Liu, X., Zhang, B., Wen, J.-R.: StatSnowball: a Statistical Approach to Extracting Entity Relationships. In: WWW 2009(2009)

    Google Scholar 

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Authors and Affiliations

  1. Max-Planck Institute for Informatics, Saarbruecken, Germany

    Gerhard Weikum

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  1. Gerhard Weikum
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Editors and Affiliations

  1. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Piazza L. Da Vinci, 32, I20133, Milano, Italy

    Stefano Ceri  & Marco Brambilla  & 

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Weikum, G. (2010). Chapter 3: Search for Knowledge. In: Ceri, S., Brambilla, M. (eds) Search Computing. Lecture Notes in Computer Science, vol 5950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12310-8_3

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  • DOI: https://doi.org/10.1007/978-3-642-12310-8_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12309-2

  • Online ISBN: 978-3-642-12310-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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