Harvesting and Organizing Knowledge from the Web

Weikum, Gerhard

doi:10.1007/978-3-540-75185-4

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Harvesting and Organizing Knowledge from the Web

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Weikum, Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Weikum, G. (2007). Harvesting and Organizing Knowledge from the Web. In Y. E. Ioannidis, B. Novikov, & B. Rachev (Eds.), Advances in Databases and Information Systems: 11th East European Conference, ADBIS 2007 (pp. 12-13). Berlin, Germany: Springer.

Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-1F62-C

Abstract

Information organization and search on the {W}eb is gaining structure and context awareness and more semantic flavor, for example, in the forms of faceted search, vertical search, entity search, and {D}eep-{W}eb search. I envision another big leap forward by automatically harvesting and organizing knowledge from the {W}eb, represented in terms of explicit entities and relations as well as ontological concepts. This will be made possible by the confluence of three strong trends: 1) rich {S}emantic-{W}eb-style knowledge repositories like ontologies and taxonomies, 2) large-scale information extraction from high-quality text sources such as {W}ikipedia, and 3) social tagging in the spirit of {W}eb 2.0. I refer to the three directions as {S}emantic {W}eb, {S}tatistical {W}eb, and {S}ocial {W}eb (at the risk of some oversimplification), and I briefly characterize each of them.