LEADER 05340nam 2200649 450 001 9910819460703321 005 20230803203439.0 010 $a1-61499-383-1 035 $a(CKB)3710000000149596 035 $a(EBL)1720836 035 $a(SSID)ssj0001375124 035 $a(PQKBManifestationID)11753937 035 $a(PQKBTitleCode)TC0001375124 035 $a(PQKBWorkID)11331527 035 $a(PQKB)11654996 035 $a(MiAaPQ)EBC1720836 035 $a(Au-PeEL)EBL1720836 035 $a(CaPaEBR)ebr10898090 035 $a(CaONFJC)MIL621548 035 $a(OCoLC)883628292 035 $a(EXLCZ)993710000000149596 100 $a20140809h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aReasoning techniques for the web of data /$fAidan Hogan 210 1$a[Burke, Virginia] :$cIOS Press,$d2014. 210 4$dİ2014 215 $a1 online resource (344 p.) 225 1 $aStudies on the Semantic Web,$x2215-0870 ;$vVolume 019 300 $aDescription based upon print version of record. 311 $a1-61499-382-3 320 $aIncludes bibliographical references. 327 $a""Title Page""; ""Contents""; ""Prologue""; ""Introduction""; ""Problem Statement""; ""Incomplete Agreement on Assertional Identifiers""; ""Use of Analogous Terminologies""; ""Hypothesis""; ""Contribution and Thesis Structure""; ""Impact""; ""Background""; ""The World Wide Web""; ""The Semantic Web""; ""Resource Description Framework""; ""RDF Schema""; ""Web Ontology Language""; ""RDF Web Publishing and Linked Data""; ""RDF Search Engines""; ""Notation and Core Concepts""; ""RDF""; ""Turtle Syntax""; ""Linked Data Principles and Provenance""; ""Atoms and Rules"" 327 $a""Terminological Data: RDFS/OWL""""Distribution Framework""; ""Crawling, Corpus and Ranking""; ""Crawler""; ""Breadth-first Crawling""; ""Incorporating Politeness""; ""On-disk Queue""; ""Multi-threading""; ""Crawling RDF/XML""; ""Distributed Approach""; ""Related Work""; ""Critical Discussion and Future Directions""; ""Evaluation Corpus""; ""Crawl Statistics""; ""Corpus Statistics""; ""Related Work""; ""Critical Discussion and Future Directions""; ""Ranking""; ""Rationale and High-level Approach""; ""Creating and Ranking the Source Graph""; ""Distributed Ranking Implementation"" 327 $a""Ranking Evaluation and Results""""Related Work""; ""Critical Discussion and Future Directions""; ""Core""; ""Web Reasoning""; ""Linked Data Reasoning: Overview""; ""Incomplete Reasoning: Rationale""; ""Rule-based Reasoning""; ""Forward Chaining""; ""OWL 2 RL/RDF Scalability""; ""Distinguishing Terminological Data""; ""Implementing T-split Inferencing""; ""Optimising the Assertional Program""; ""Merging Equivalent T-ground Rules""; ""Rule Index""; ""Rule Saturation""; ""Preliminary Performance Evaluation""; ""Towards Linked Data Reasoning""; ""``A-linear'' OWL 2 RL/RDF"" 327 $a""Authoritative Reasoning""""Distributed Reasoning""; ""Linked Data Reasoning Evaluation""; ""Related Work""; ""Scalable/Distributed Reasoning""; ""Web Reasoning""; ""Critical Discussion and Future Directions""; ""Annotated Reasoning""; ""Generalised Annotated Programs""; ""Use-case Annotations""; ""Blacklisting""; ""Authoritative Analysis""; ""Triple Ranks""; ""Formal Annotation Framework""; ""Annotation Domains""; ""(Specialised) Annotated Programs""; ""Least Fixpoint and Decidability""; ""Seeding Annotations""; ""T-split Annotated Programs""; ""Annotated Reasoning Tasks""; ""Constraints"" 327 $a""Annotated Linked Data Reasoning""""Ranking Triples: Implementation/Evaluation""; ""Reasoning: Implementation/Evaluation""; ""Repair: Implementation/Evaluation""; ""Related Work""; ""Annotated Reasoning""; ""Inconsistency Repair""; ""Critical Discussion and Future Directions""; ""Consolidation""; ""OWL Equality Semantics""; ""Corpus: Naming Across Sources""; ""Base-line Consolidation""; ""High-level approach""; ""Distributed approach""; ""Evaluation""; ""Extended Reasoning Consolidation""; ""High-level approach""; ""Distributed approach""; ""Evaluation"" 327 $a""Statistical Concurrence Analysis (Synopsis)"" 330 $aLinked Data publishing has brought about a novel "Web of Data": a wealth of diverse, interlinked, structured data published on the Web. These Linked Datasets are described using the Semantic Web standards and are openly available to all, produced by governments, businesses, communities and academia alike. However, the heterogeneity of such data - in terms of how resources are described and identified - poses major challenges to potential consumers. Herein, we examine use cases for pragmatic, lightweight reasoning techniques that leverage Web vocabularies (described in RDFS and OWL) to better i 410 0$aStudies on the Semantic Web ;$vVolume 019. 606 $aSemantic computing 606 $aArtificial intelligence 615 0$aSemantic computing. 615 0$aArtificial intelligence. 676 $a004.65 700 $aHogan$b Aidan$0883092 701 $aHogan$b Aidan$0883092 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910819460703321 996 $aReasoning techniques for the web of data$94092240 997 $aUNINA