Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWLElsevier, 9 de abr. de 2009 - 352 páginas The promise of the Semantic Web to provide a universal medium to exchange data information and knowledge has been well publicized. There are many sources too for basic information on the extensions to the WWW that permit content to be expressed in natural language yet used by software agents to easily find, share and integrate information. Until now individuals engaged in creating ontologies-- formal descriptions of the concepts, terms, and relationships within a given knowledge domain-- have had no sources beyond the technical standards documents. Semantic Web for the Working Ontologist transforms this information into the practical knowledge that programmers and subject domain experts need. Authors Allemang and Hendler begin with solutions to the basic problems, but don’t stop there: they demonstrate how to develop your own solutions to problems of increasing complexity and ensure that your skills will keep pace with the continued evolution of the Semantic Web. • Provides practical information for all programmers and subject matter experts engaged in modeling data to fit the requirements of the Semantic Web.• De-emphasizes algorithms and proofs, focusing instead on real-world problems, creative solutions, and highly illustrative examples. • Presents detailed, ready-to-apply “recipes for use in many specific situations.• Shows how to create new recipes from RDF, RDFS, and OWL constructs. |
Conteúdo
1 | |
15 | |
31 | |
Semantic Web Application Architecture | 59 |
RDF and Inferencing | 79 |
RDF Schema | 91 |
RDFSPlus | 123 |
Using RDFSPlus in the Wild | 159 |
Counting and Sets in OWL | 213 |
Using OWL in the Wild | 247 |
Good and Bad Modeling Practices | 271 |
OWL Levels and Logic | 293 |
Conclusions | 307 |
Frequently Asked Questions | 313 |
Further Reading | 317 |
321 | |
Termos e frases comuns
AAA slogan answer application asserted BaseballTeam Challenge Chapter common constructs database defined describe domain and range dwarf planet entities example express FEARMO Federal Enterprise Architecture FOAF GraduallyMix graph hasParent hasPossession hasPrerequisite includes individual inference engine inferencing inferred triples infrastructure inSameRecipe instance inverse functional James Dean James Dean movies lit:Shakespeare lit:wrote meaning merge mfg:Product namespace NCI ontology notion OceanPort Open World assumption OWL DL OWL Full owl:allValuesFrom owl:Class owl:equivalentClass owl:hasValue owl:InverseFunctionalProperty owl:inverseOf owl:oneOf owl:onProperty owl:Restriction owl:sameAs owl:someValuesFrom ownsMovie particular pattern planet playsFor Pluto predicate Product_Model provides q:answerText qnames query engine question RDF data RDF Schema RDF store rdf:type rdf:type rdf:type RDFS-Plus rdfs:domain rdfs:label rdfs:range rdfs:subClassOf rdfs:subPropertyOf relationship represent resource restriction class rule semantic model Semantic Web Shakespeare wrote single SKOS skos:narrower solution someone SPARQL specified standard statement subclass subClassOf Table things tion Web modeling webpage
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Página xvii - Dynamics Laboratory. Hendler was the recipient of a 1995 Fulbright Foundation Fellowship, is a former member of the US Air Force Science Advisory Board, and is a Fellow of the American Association for Artificial Intelligence. He is also the former chief scientist of the Information Systems Office at the US Defence Advanced Research...
Página xvii - Hendler has authored approximately 200 technical papers in the areas of artificial intelligence, Semantic Web, agent-based computing, and high-performance processing. One of the inventors of the Semantic Web, he...
Página 16 - ... have in common as well as the ways in which they differ.
Página 7 - Web at the level of the data rather than at the level of the presentation.
Página xvii - Hendler is also the former chief scientist at the Information Systems Office of the US Defense Advanced Research Projects Agency (DARPA...