The Semantic Web Research and Applications Lecture Notes in Computer Science - Info and Reading Options

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Title -- Preface -- Organization -- Table of Contents -- Invited Talks -- Semantic Web/LD at a Crossroads: Into the Garbage Can or To Theory? -- New Audiences for Ontologies: Dealing with Complexity in Business Processes -- Bringing (Web) Databases to the Masses -- Large Scale Learning at Twitter -- Musubi: A Decentralized Mobile Social Web -- Data Value Chain in Europe -- Cutting through the Noise: How to Shape Public Perception, Frame the Debate and Effectively Engage Your Audience in the Digital Age -- Linked Open Data Track -- SPARQL for aWeb of Linked Data: Semantics and Computability -- Introduction -- Preliminaries -- Modeling a Web of Linked Data -- Data Model -- Computation Model -- Full-Web Semantics -- Satisfiability, Nontrivial Satisfiability, Monotonicity, and Computability -- Querying an Infinite Web of Linked Data -- Reachability-Based Semantics -- Definition -- Completeness and Infiniteness -- Satisfiability, Nontrivial Satisfiability, Monotonicity, and Computability -- Conclusions -- References -- Linked Data-Based Concept Recommendation: Comparison of Different Methods in Open Innovation Scenario -- Introduction -- State of the Art -- Linked Data-Based Concept Recommendation Approaches -- Structure-Based Similarity -- Structure-Based Statistical Semantics Similarity -- Gold Standard-Based Evaluation -- Results -- User Evaluation -- Conclusion -- References -- Finding Co-solvers on Twitter, with a Little Help from Linked Data -- Introduction -- Background and Related Work -- Open Innovation and the Need for Co-solvers -- Recommending People -- Expert Finding -- Measures of Semantic Relatedness Usable for Profile Expansion -- Recommending Co-solvers -- General Approach -- Profiling -- Core Similarity Measures and Similarity Scoring -- Profile Expansion Using Semantic Relatedness Measures -- Evaluation -- Evaluation 1

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