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|Year=2010 | |Year=2010 | ||
|Month=Oktober | |Month=Oktober | ||
− | |Booktitle=Knowledge Engineering | + | |Booktitle=Knowledge Engineering and Management by the Masses, 17th International Conference, EKAW 2010, Lisbon, Portugal, October 2010, Proceedings |
+ | |Pages=441-450 | ||
|Publisher=Springer | |Publisher=Springer | ||
+ | |Address=Berlin | ||
|Editor=Philipp Cimiano, H. Sofia Pinto | |Editor=Philipp Cimiano, H. Sofia Pinto | ||
|Series=Lecture Notes in Computer Science | |Series=Lecture Notes in Computer Science | ||
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|Abstract=Ontology reuse saves costs and improves interoperability between ontologies. Knowing which ontology to reuse is difficult without having a quality assessment. We employ user ratings to determine the user-perceived quality of ontologies. The combination of an Open Rating System (ORS), user ratings, and information on trust between users, allow us to compute a personalized ranking of ontologies. In this paper, we present our extension, the Topic-Specific Trust Open Rating System (TS-ORS). To overcome the limitations of the ORS, the TS-ORS features topic-specific trust and multi-faceted ratings. In a user study, we show that having user ratings and result ranking based on a TS-ORS significantly facilitates ontology assessment and selection for the end user. | |Abstract=Ontology reuse saves costs and improves interoperability between ontologies. Knowing which ontology to reuse is difficult without having a quality assessment. We employ user ratings to determine the user-perceived quality of ontologies. The combination of an Open Rating System (ORS), user ratings, and information on trust between users, allow us to compute a personalized ranking of ontologies. In this paper, we present our extension, the Topic-Specific Trust Open Rating System (TS-ORS). To overcome the limitations of the ORS, the TS-ORS features topic-specific trust and multi-faceted ratings. In a user study, we show that having user ratings and result ranking based on a TS-ORS significantly facilitates ontology assessment and selection for the end user. | ||
|ISBN=978-3-642-16437-8 | |ISBN=978-3-642-16437-8 | ||
+ | |ISSN=0302-9743 | ||
|Projekt=Active | |Projekt=Active | ||
|Forschungsgruppe=Wissensmanagement | |Forschungsgruppe=Wissensmanagement | ||
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Version vom 25. Oktober 2010, 09:48 Uhr
Extending Open Rating Systems for Ontology Ranking and Reuse
Extending Open Rating Systems for Ontology Ranking and Reuse
Published: 2010
Oktober
Herausgeber: Philipp Cimiano, H. Sofia Pinto
Buchtitel: Knowledge Engineering and Management by the Masses, 17th International Conference, EKAW 2010, Lisbon, Portugal, October 2010, Proceedings
Nummer: 6317
Reihe: Lecture Notes in Computer Science
Seiten: 441-450
Verlag: Springer
Erscheinungsort: Berlin
Referierte Veröffentlichung
Note: to appear
BibTeX
Kurzfassung
Ontology reuse saves costs and improves interoperability between ontologies. Knowing which ontology to reuse is difficult without having a quality assessment. We employ user ratings to determine the user-perceived quality of ontologies. The combination of an Open Rating System (ORS), user ratings, and information on trust between users, allow us to compute a personalized ranking of ontologies. In this paper, we present our extension, the Topic-Specific Trust Open Rating System (TS-ORS). To overcome the limitations of the ORS, the TS-ORS features topic-specific trust and multi-faceted ratings. In a user study, we show that having user ratings and result ranking based on a TS-ORS significantly facilitates ontology assessment and selection for the end user.
ISBN: 978-3-642-16437-8
ISSN: 0302-9743