Quality assessment for Linked Data: A Survey-Reference-Cited by-同舟云学术

Quality assessment for Linked Data: A Survey

Published:2015-03-17 Issue:1 Volume:7 Page:63-93
ISSN:2210-4968
Container-title:Semantic Web
language:
Short-container-title:SW

Author:

Zaveri Amrapali¹,Rula Anisa²,Maurino Andrea²,Pietrobon Ricardo³,Lehmann Jens¹,Auer Sören⁴

Affiliation:

1. Universität Leipzig, Institut für Informatik, D-04103 Leipzig, Germany. E-mails: zaveri@informatik.uni-leipzig.de, lehmann@informatik.uni-leipzig.de

2. University of Milano-Bicocca, Department of Computer Science, Systems and Communication (DISCo), Innovative Techonologies for Interaction and Services (Lab), Viale Sarca 336, Milan, Italy. E-mails: anisa.rula@disco.unimib.it, maurino@disco.unimib.it

3. Associate Professor and Vice Chair of Surgery, Duke University, Durham, NC, USA. E-mail: rpietro@duke.edu

4. University of Bonn, Computer Science Department, Enterprise Information Systems and Fraunhofer IAIS, Germany. E-mail: auer@cs.uni-bonn.de

Publisher

IOS Press

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference56 articles.

1. [1]M. Acosta, A. Zaveri, E. Simperl, D. Kontokostas, S. Auer and J. Lehmann, Crowdsourcing linked data quality assessment, in: Proc. of the 12th International Semantic Web Conference ISWC, H. Alani, L. Kagal, A. Fokoue, P. Groth, C. Biemann, J.X. Parreira, L. Aroyo, N. Noy, C. Welty and K. Janowicz, eds, Lecture Notes in Computer Science, Vol. 8219, Springer, Berlin, Heidelberg, 2013, pp. 260–276.

2. [2]R. Albertoni and A.G. Perez, Assessing linkset quality for complementing third-party datasets, in: Proc. of the Joint EDBT/ICDT 2013 Workshops, G. Guerrini, ed., ACM, New York, NY, USA, 2013, pp. 52–59.

3. [3]F. Baader, C. Diageo, D. McGuinness, D. Nardi and P. Patel-Schneider (eds), The Description Logic Handbook, Cambridge, 2003.

4. [4]C. Batini and M. Scannapieco, Data Quality: Concepts, Methodologies and Techniques, Springer-Verlag, Inc., New York, 2006.

5. Quality-driven information filtering using the WIQA policy framework;Bizer;Journal of Web Semantics,2009

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