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Reasoning techniques for the web of data /
Linked 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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
IOS Press,
2014.
|
| Colección: | Studies on the Semantic Web ;
19. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Hogan, Aidan, |e author. | |
| 245 | 1 | 0 | |a Reasoning techniques for the web of data / |c Aidan Hogan. |
| 264 | 1 | |a Amsterdam : |b IOS Press, |c 2014. | |
| 300 | |a 1 online resource | ||
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| 490 | 1 | |a Studies on the Semantic Web ; |v 19 | |
| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Online resource; title from PDF title page (IOS Press, viewed July 14, 2014). | |
| 505 | 0 | |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 | |
| 505 | 8 | |a Terminological Data: RDFS/OWLDistribution 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 | |
| 505 | 8 | |a Ranking Evaluation and ResultsRelated 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 | |
| 505 | 8 | |a Authoritative ReasoningDistributed 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 | |
| 505 | 8 | |a Annotated Linked Data ReasoningRanking 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 | |
| 520 | |a Linked 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 | ||
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| 650 | 0 | |a Semantic computing. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 6 | |a Informatique sémantique. | |
| 650 | 6 | |a Intelligence artificielle. | |
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| 700 | 1 | |i Based on (work) |a Hogan, Aidan. |t Exploiting RDFS and OWL for integrating heterogeneous, large-scale, linked data corpora. | |
| 710 | 2 | |a IOS Press. | |
| 776 | 0 | 8 | |i Erscheint auch als: |n Druck-Ausgabe |t Hogan, A. Reasoning Techniques for the Web of Data |
| 830 | 0 | |a Studies on the Semantic Web ; |v 19. | |
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