Semantic reasoning with uncertain information from unreliable sources

Name: Semantic reasoning with uncertain information from unreliable sources
Author: Şensoy, Murat, Kaplan, L., de Mel, G.

İsim	Semantic reasoning with uncertain information from unreliable sources
Yazar	Şensoy, Murat, Kaplan, L., de Mel, G.
Basım Tarihi:	2016
Basım Yeri	- Springer International Publishing
Konu	Description logics, Trust, Web
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2-s2.0-84984838218
Kayıt Numarası	d45ad365-2a5b-4045-8409-2f47990e7655
Lokasyon	Computer Science
Tarih	2016
Notlar	U.S. Army Research Laboratory ; U.K. Ministry of Defence ; TÜBİTAK
Örnek Metin	Intelligent software agents may significantly benefit from semantic reasoning. However, existing semantic reasoners are based on Description Logics, which cannot handle vague, incomplete, and unreliable knowledge. In this paper, we propose SDL-LiteSDL-Lite which extends DL-LiteRDL-LiteR with subjective opinions to represent uncertainty in knowledge. We directly incorporate trust into the reasoning so that the inconsistencies in the knowledge can be resolved based on trust evidence analysis. Therefore, the proposed logic can handle uncertain information from unreliable sources. We demonstrate how SDL-LiteSDL-Lite can be used for semantic fusion of uncertain information from unreliable sources and show that SDL-LiteSDL-Lite reasoner can estimate the ground truth with a minimal error.
DOI	10.1007/978-3-319-44832-9_6

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Semantic reasoning with uncertain information from unreliable sources

Yazar Şensoy, Murat, Kaplan, L., de Mel, G.

Basım Tarihi 2016

Basım Yeri - Springer International Publishing

Konu Description logics, Trust, Web

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2-s2.0-84984838218

Kayıt Numarası d45ad365-2a5b-4045-8409-2f47990e7655

Lokasyon Computer Science

Tarih 2016

Notlar U.S. Army Research Laboratory ; U.K. Ministry of Defence ; TÜBİTAK

Örnek Metin Intelligent software agents may significantly benefit from semantic reasoning. However, existing semantic reasoners are based on Description Logics, which cannot handle vague, incomplete, and unreliable knowledge. In this paper, we propose SDL-LiteSDL-Lite which extends DL-LiteRDL-LiteR with subjective opinions to represent uncertainty in knowledge. We directly incorporate trust into the reasoning so that the inconsistencies in the knowledge can be resolved based on trust evidence analysis. Therefore, the proposed logic can handle uncertain information from unreliable sources. We demonstrate how SDL-LiteSDL-Lite can be used for semantic fusion of uncertain information from unreliable sources and show that SDL-LiteSDL-Lite reasoner can estimate the ground truth with a minimal error.

DOI 10.1007/978-3-319-44832-9_6