Semantic search seems to be an elusive and fuzzy target to IR, SW and NLP researchers. One reason is that this challenge lies in between all those fields, which implies a broad scope of issues and tech- nologies that must be mastered. In this extended abstract we survey the work of Yahoo! Research at Barcelona to approach this problem. Our research is intended to produce a virtuous feedback circuit by using ma- chine learning for capturing semantics, and, ultimately, for better search.
Attribution: The Open Education Consortium
http://www.ocwconsortium.org/courses/view/c619a1c74ba5e4b20f8fc402368a59cd/
Course Home http://videolectures.net/eswc08_yates_fcs/