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Repeatable and Reliable Semantic Search Evaluation


Roi Blanco, Harry Halpin, Daniel M. Herzig, Peter Mika, Jeffrey Pound, Henry S. Thompson, Duc Thanh Tran



Veröffentlicht: 2013

Journal: Journal of Web Semantics: Science, Services and Agents on the World Wide Web


Verlag: Elsevier


Referierte Veröffentlichung
BibTex-ID: jws2013 BibTeX




Kurzfassung
An increasing amount of structured data on the Web has attracted industry attention and renewed research interest in what is collectively referred to as semantic search. These solutions exploit the explicit semantics captured in structured data such as RDF for enhancing document representation and retrieval, or for finding answers by directly searching over the data. These data have been used for different tasks and a wide range of corresponding semantic search solutions have been proposed in the past. However, it has been widely recognized that a standardized setting to evaluate and analyze the current state-of-the-art in semantic search is needed to monitor and stimulate further progress in the field. In this paper, we present an evaluation framework for semantic search, analyze the framework with regard to repeatability and reliability, and report on our experiences on applying it in the Semantic Search Challenge 2010 and 2011.

Download: Media:2013-JWS-Semantic-Search-Evaluation.pdf
DOI Link: http://dx.doi.org/10.1016/j.websem.2013.05.005

Projekt

IGreen



Forschungsgruppe

Web Science und Wissensmanagement


Forschungsgebiet
Semantische Suche, WWW Systeme, Semantic Web, Semantische Technologien