AbstractsComputer Science

Ranking for Web Data Search Using On-The-Fly Data Integration

by Daniel Markus Herzig

Institution: Universität Karlsruhe
Year: 2014
Keywords: search, web data, information retrieval, semantic search
Record ID: 1099039
Full text PDF: http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/2938247


Ranking - the algorithmic decision on how relevant an information artifact is for a given information need and the sorting of artifacts by their concluded relevancy - is an integral part of every search engine. In this book we investigate how structured Web data can be leveraged for ranking with the goal to improve the effectiveness of search. We propose new solutions for ranking using on-the-fly data integration and experimentally analyze and evaluate them against the latest baselines.