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Uncertainty Reasoning for the Semantic Web II: International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at Floc, Revised Selected Papers 2013 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 331 pages, height x width: 235x155 mm, weight: 534 g, 72 Illustrations, black and white; XVI, 331 p. 72 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 7123
  • Izdošanas datums: 20-Feb-2013
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642359744
  • ISBN-13: 9783642359743
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  • Formāts: Paperback / softback, 331 pages, height x width: 235x155 mm, weight: 534 g, 72 Illustrations, black and white; XVI, 331 p. 72 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 7123
  • Izdošanas datums: 20-Feb-2013
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642359744
  • ISBN-13: 9783642359743
Citas grāmatas par šo tēmu:
This book contains revised and significantly extended versions of selected papers from three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2008, 2009, and 2010 or presented at the first international Workshop on Uncertainty in Description Logics (UniDL), held at the Federated Logic Conference (FLoC) in 2010. The 17 papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on probabilistic and Dempster-Shafer models, fuzzy and possibilistic models, inductive reasoning and machine learning, and hybrid approaches.
Probabilistic and Dempster-Shafer Models
PR-OWL 2.0 - Bridging the Gap to OWL Semantics
1(18)
Rommel N. Carvalho
Kathryn B. Laskey
Paulo C. G. Costa
Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil
19(22)
Rommel N. Carvalho
Shou Matsumoto
Kathryn B. Laskey
Paulo C.G. Costa
Marcelo Ladeira
Laecio L. Santos
Understanding a Probabilistic Description Logic via Connections to First-Order Logic of Probability
41(18)
Pavel Klinov
Bijan Parsia
Pronto: A Practical Probabilistic Description Logic Reasoner
59(21)
Pavel Klinov
Bijan Parsia
Instance-Based Non-standard Inferences in ε£ with Subjective Probabilities
80(19)
Rafael Penaloza
Anni-Yasmin Turhan
Fuzzy and Possibilistic Models
Finite Fuzzy Description Logics and Crisp Representations
99(20)
Fernando Bobillo
Umberto Straccia
Reasoning in Fuzzy OWL 2 with DeLorean
119(20)
Fernando Bobillo
Miguel Delgado
Juan Gomez-Romero
Dealing with Contradictory Evidence Using Fuzzy Trust in Semantic Web Data
139(19)
Miklos Nagy
Maria Vargas-Vera
Storing and Querying Fuzzy Knowledge in the Semantic Web Using FiRE
158(19)
Nikolaos Simou
Giorgos Stoilos
Giorgos Stamou
Transforming Fuzzy Description Logic ALCFL into Classical Description Logic ALCH
177(20)
Yining Wu
A Fuzzy Logic-Based Approach to Uncertainty Treatment in the Rule Interchange Format: From Encoding to Extension
197(20)
Jidi Zhao
Harold Boley
Jing Dong
Inductive Reasoning and Machine Learning
PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic Methods
217(20)
Saminda Abeyruwan
Ubbo Visser
Vance Lemmon
Stephan Schurer
Semantic Web Search and Inductive Reasoning
237(25)
Claudia d'Amato
Nicola Fanizzi
Bettina Fazzinga
Georg Gottlob
Thomas Lukasiewicz
Ontology Enhancement through Inductive Decision Trees
262(20)
Bart Gajderowicz
Alireza Sadeghian
Mikhail Soutchanski
Assertion Prediction with Ontologies through Evidence Combination
282(18)
Giuseppe Rizzo
Claudia d'Amato
Nicola Fanizzi
Floriana Esposito
Hybrid Approaches
Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations
300(15)
Claudia d'Amato
Nicola Fanizzi
Floriana Esposito
Thomas Lukasiewicz
Efficient Trust-Based Approximate SPARQL Querying of the Web of Linked Data
315(16)
Kuldeep B.R. Reddy
P. Sreenivasa Kumar
Author Index 331