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Web Reasoning and Rule Systems [electronic resource] : 8th International Conference, RR 2014, Athens, Greece, September 15-17, 2014. Proceedings / edited by Roman Kontchakov, Marie-Laure Mugnier.
Contributor(s): Kontchakov, Roman [edt]
| Mugnier, Marie-Laure [edt].
Material type: 
TextSeries: Lecture Notes in Computer Science, 8741. Publisher: Cham : Springer International Publishing, 2014Description: 1 online resource (XVI, 256 p. 36 ill.).ISBN: 9783319111131.Subject(s): Computer science | Software engineering | Computers | Database management | Data mining | Information Storage and RetrievalOnline resources: Click here to access online
Contents:
Invited Talks -- P 6= P: Why Some Reasoning Problems are More Tractable Than Others -- Semantic Technologies in Selected Industrial Applications -- Web Reasoning for Cultural Heritage -- Full Papers -- Planning with Transaction Logic -- A Generalization of Approximation Fixpoint Theory and Application -- Query Answering over Contextualized RDF/OWL Knowledge with For all-Existential Bridge Rules: Attaining Decidability using Acyclicity -- Exchange-Repairs: Managing Inconsistency in Data Exchange -- Rules and Ontology Based Data Access -- Technical Communications -- Semantic Search for Earth Observation Products using Ontology Services -- Airport Context Analytics -- Navigating among Educational Resources in the Web of Linked Data -- Investigating Information Diffusion in a Multi-Social-Network Scenario via Answer Set Programming -- Web Stream Reasoning Using Probabilistic Answer Set Programming -- Federated Debugging of Lightweight Ontologies -- Revisiting the Hardness of Query Answering in Expressive Description Logics -- An Ontology for Container Terminal Operations -- Posters -- Ontology-Based Answer Extraction Method -- Collective, Incremental Ontology Alignment Through Query Translation -- Disjunctive Constraints in RDF and Their Application to Context Schemas -- Linked Open Data in the Earth Observation Domain: the Vision of Project LEO -- Combining Fuzzy and Probabilistic Reasoning for Crowd-Sourced Categorization and Tagging -- Doctoral Consortium -- Visual Editor for Answer Set Programming: Preliminary Report -- Adaptive Stream Query Processing Approach for Linked Stream Data: Extended Abstract.-Combining Logic and Business Rule Systems.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| National Library of India | Available | NLI-EBK000024931ENG |
Invited Talks -- P 6= P: Why Some Reasoning Problems are More Tractable Than Others -- Semantic Technologies in Selected Industrial Applications -- Web Reasoning for Cultural Heritage -- Full Papers -- Planning with Transaction Logic -- A Generalization of Approximation Fixpoint Theory and Application -- Query Answering over Contextualized RDF/OWL Knowledge with For all-Existential Bridge Rules: Attaining Decidability using Acyclicity -- Exchange-Repairs: Managing Inconsistency in Data Exchange -- Rules and Ontology Based Data Access -- Technical Communications -- Semantic Search for Earth Observation Products using Ontology Services -- Airport Context Analytics -- Navigating among Educational Resources in the Web of Linked Data -- Investigating Information Diffusion in a Multi-Social-Network Scenario via Answer Set Programming -- Web Stream Reasoning Using Probabilistic Answer Set Programming -- Federated Debugging of Lightweight Ontologies -- Revisiting the Hardness of Query Answering in Expressive Description Logics -- An Ontology for Container Terminal Operations -- Posters -- Ontology-Based Answer Extraction Method -- Collective, Incremental Ontology Alignment Through Query Translation -- Disjunctive Constraints in RDF and Their Application to Context Schemas -- Linked Open Data in the Earth Observation Domain: the Vision of Project LEO -- Combining Fuzzy and Probabilistic Reasoning for Crowd-Sourced Categorization and Tagging -- Doctoral Consortium -- Visual Editor for Answer Set Programming: Preliminary Report -- Adaptive Stream Query Processing Approach for Linked Stream Data: Extended Abstract.-Combining Logic and Business Rule Systems.