This chapter focuses on semantic searching at web scale. The solution presented takes advantage of the specific strengths of semantic repositories and the raw power of relational databases, the latter having been developed over decades and capable of handling efficiently large volumes of data with fixed structure (which is the case with the occurrence statistics) and the former allowing for inference and querying on top of formal knowledge. The interactive faceted search capability described is a demonstration how an approach based on these two technologies is more powerful and efficient for certain tasks as compared to traditional search engines. novel indexing schema for semantic search, based on entity occurrence description of a scalable implementation of such indexing; advanced faceted search interface, based on co-occurrence. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Kiryakov, A., Popov, B., Kitchukov, I., & Angelov, K. (2009). Shared ontology for knowledge management. In Semantic Knowledge Management: Integrating Ontology Management, Knowledge Discovery, and Human Language Technologies (pp. 61–83). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-88845-1_6
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