Preferences‚ Links‚ and Probabilities for Ranking Objects in Ontologies
<p>In previous work, we have introduced variable-strength conditional preferences for ranking objects in ontologies. In this paper, we continue this line of research. We propose a new ranking of objects, which integrates this user-defined preference ranking of objects with Google's import...
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| Format: | Conference item |
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CEUR−WS.org
2006
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| Summary: | <p>In previous work, we have introduced variable-strength conditional preferences for ranking objects in ontologies. In this paper, we continue this line of research. We propose a new ranking of objects, which integrates this user-defined preference ranking of objects with Google's importance ranking (called <em>PageRank</em>) based on the link structure between the objects. We also propose to use probabilistic description logics based on Bayesian networks and the description logic <em>DL-Lite</em> to compute the ranking of incompletely specified objects.</p> |
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