Text Mining for Semantic Search in Europe PubMed Central Labs
W.J. Black*; A. Rowley*; M. Miwa†; J. McNaught*; S. Ananiadou* * University of Manchester, Manchester, UK† University of Manchester and Toyota Technological Institute
Abstract
This chapter describes an implemented and publicly available search aid designed for use in the context of a standard full-text retrieval service, which automatically suggests questions on the basis of what has been entered in the search engine’s query field. The service is developed on the basis of a content analysis achieved by merging information extraction of biomedical named entities with a syntactic analysis of the full text of an entire collection of scientific papers. We discuss the design ...
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