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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| _version_ | 1797060005404344320 |
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| author | Lukasiewicz, T Schellhase, J |
| author_facet | Lukasiewicz, T Schellhase, J |
| author_sort | Lukasiewicz, T |
| collection | OXFORD |
| description | <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> |
| first_indexed | 2024-03-06T20:11:40Z |
| format | Conference item |
| id | oxford-uuid:2ac5c64f-49d4-46c9-9f38-7efb532c4d30 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T20:11:40Z |
| publishDate | 2006 |
| publisher | CEUR−WS.org |
| record_format | dspace |
| spelling | oxford-uuid:2ac5c64f-49d4-46c9-9f38-7efb532c4d302022-03-26T12:27:03ZPreferences‚ Links‚ and Probabilities for Ranking Objects in OntologiesConference itemhttp://purl.org/coar/resource_type/c_5794uuid:2ac5c64f-49d4-46c9-9f38-7efb532c4d30Department of Computer ScienceCEUR−WS.org2006Lukasiewicz, TSchellhase, J<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> |
| spellingShingle | Lukasiewicz, T Schellhase, J Preferences‚ Links‚ and Probabilities for Ranking Objects in Ontologies |
| title | Preferences‚ Links‚ and Probabilities for Ranking Objects in Ontologies |
| title_full | Preferences‚ Links‚ and Probabilities for Ranking Objects in Ontologies |
| title_fullStr | Preferences‚ Links‚ and Probabilities for Ranking Objects in Ontologies |
| title_full_unstemmed | Preferences‚ Links‚ and Probabilities for Ranking Objects in Ontologies |
| title_short | Preferences‚ Links‚ and Probabilities for Ranking Objects in Ontologies |
| title_sort | preferences links and probabilities for ranking objects in ontologies |
| work_keys_str_mv | AT lukasiewiczt preferenceslinksandprobabilitiesforrankingobjectsinontologies AT schellhasej preferenceslinksandprobabilitiesforrankingobjectsinontologies |