Knowledge-Based Search for Oncological Literature: Technical Architecture and User Perspectives
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Vit Novacek, Tudor Groza, Siegfried Handschuh "Knowledge-Based Search for Oncological Literature: Technical Architecture and User Perspectives", Proceedings of CBMS 2009, IEEE, 2009.
Using the current state of the art in life science publication search (e.g., PubMed), one can efficiently search for resources containing particular key-words or their combinations. It is impossible to search for abstract concepts and expressive relations between them (e.g., type of, different from or part of), though. Nevertheless, such a more expressive¿semantic¿search could largely reduce the efforts related to finding appropriate answers in biomedical articles. In this paper we identify challenges related to building a semantic publication search engine. Then we describe the architecture and usage principles of a tool tackling them. Eventually, we report on the tool¿s deployment on oncological literature data and preliminary tests with domain experts.