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|Year=2010
 
|Year=2010
 
|Month=Oktober
 
|Month=Oktober
|Booktitle=Knowledge Engineering: Practice and Patterns, 17th International Conference, EKAW 2010, Lisbon, Portugal, October 11-15, 2010, Proceedings
+
|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
Zeile 22: Zeile 24:
 
|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
 
}}
 
}}

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

Projekt

Active



Forschungsgruppe

Wissensmanagement


Forschungsgebiet