Semantic search with GoPubMed

Authors:
Andreas Doms;Michael Schroeder
Affiliations:
Technical University of Dresden, Germany;Technical University of Dresden, Germany
Venue:
Semantic techniques for the web
Year:
2009

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Abstract

Searching relevant information on the web is a main occupation of researchers nowadays. Classical keyword-based search engines have limits. Inconsistent vocabulary used by authors is not handled. Relevant information spread over multiple documents can not be found. An overview over an entire document collection can not be given by themeans of ranked lists. Question answering requiring semantic disambiguation of occurring terminology is not possible. Trends in the literature can not be followed if vocabulary is evolving over time. GoPubMed is a semantic search engine using the background knowledge of ontologies to index the biomedical literature. In this chapter we discuss how semantic search can contribute to overcome the limits of classical search paradigms.