Matches in ScholarlyData for { ?s ?p ?o. }
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- item-1 hasContent sebastian-hellmann.
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- item-2 hasContent joerg-unbehauen.
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- item-3 hasContent jens-lehmann.
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- 524 creator blai-bonet.
- 524 creator daniel-izquierdo.
- 524 creator maria-esther-vidal.
- 524 type InProceedings.
- 524 label "STEREO: a SaT-based tool for an optimal solution of the sERvice selEctiOn problem".
- 524 sameAs 524.
- 524 abstract "We present STEREO, a system that offers an expressive formalism and implements techniques firmly grounded on logic to solve the Service Selection Problem (SSP). STEREO adopts the Local-As-View approach (LAV) to represent services' functionality as views on ontology concepts, while user requests are expressed as conjunctive queries on these concepts. Additionally, users can describe their preferences, which are used to rank the solutions. We discuss the LAV formulation of SSP; then, we illustrate the encoding of SSP as a logical theory whose models are in correspondence with the problem solutions, and in presence of preferences, the best models are in correspondence with the best-ranked solutions. We demonstrate STEREO and the properties of modern SAT solvers that provide an efficient and scalable solution to SSP.".
- 524 hasAuthorList authorList.
- 524 isPartOf poster-demo-proceedings.
- 524 title "STEREO: a SaT-based tool for an optimal solution of the sERvice selEctiOn problem".
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- item-1 hasContent daniel-izquierdo.
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- item-2 hasContent maria-esther-vidal.
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- item-3 hasContent blai-bonet.
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- 525 creator ryutaro-ichise.
- 525 creator simeon-polfliet.
- 525 type InProceedings.
- 525 label "Automated Mapping Generation for Converting Databases into Linked Data".
- 525 sameAs 525.
- 525 abstract "Most of the data on the Web is stored in relational databases. In order to make the Semantic Web grow we need to provide easy-to-use tools to convert those databases into linked data, so that even people with little knowledge of the semantic web can use them. Some programs able to convert relational databases into RDF files have been developed, but the user still has to link manually the database attribute names to existing ontology properties and this generated "linked data" is not actually linked with external relevant data. We propose here a method to associate automatically attribute names to existing ontology entities in order to complete the automation of the conversion of databases. We also present a way - rather basic, but with low error rate - to add links automatically to relevant data from other data sets.".
- 525 hasAuthorList authorList.
- 525 isPartOf poster-demo-proceedings.
- 525 keyword "Database".
- 525 keyword "Linked Data".
- 525 keyword "Semantic Integration".
- 525 keyword "Semantic Web".
- 525 title "Automated Mapping Generation for Converting Databases into Linked Data".
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- item-1 hasContent simeon-polfliet.
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- item-2 hasContent ryutaro-ichise.
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- 527 creator abraham-bernstein.
- 527 creator cosmin-basca.
- 527 type InProceedings.
- 527 label "Avalanche: Putting the Spirit of the Web back into Semantic Web Querying".
- 527 sameAs 527.
- 527 abstract "Traditionally Semantic Web applications either included a web crawler or relied on external services to gain access to the Web of Data. Recent efforts, have enabled applications to query the entire Semantic Web for up-to-date results. Such approaches are based on either centralized indexing of semantically annotated metadata or link traversal and URI dereferencing as in the case of Linked Open Data. They pose a number of limiting assumptions, thus breaking the openness principle of the Web. In this demo we present a novel technique called Avalanche, designed to allow a data surfer to query the Semantic Web transparently. The technique makes no prior assumptions about data distribution. Specifically, Avalanche can perform "live" queries over the Web of Data. First, it gets on-line statistical information about the data distribution, as well as bandwidth availability. Then, it plans and executes the query in a distributed manner trying to quickly provide first answers.".
- 527 hasAuthorList authorList.
- 527 isPartOf poster-demo-proceedings.
- 527 title "Avalanche: Putting the Spirit of the Web back into Semantic Web Querying".
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- item-1 hasContent cosmin-basca.
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- item-2 hasContent abraham-bernstein.
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- 529 creator james-p-mcglothlin.
- 529 creator latifur-khan.
- 529 type InProceedings.
- 529 label "A Semantic Web Repository for Managing and Querying Aligned Knowledge".
- 529 sameAs 529.
- 529 abstract "Ontology alignment is the task of matching concepts and terminology from multiple ontologies. Ontology alignment is especially relevant in the semantic web domain as RDF documents and OWL ontologies are quite heterogeneous, yet often describe related concepts. The end goal for ontology matching is to allow the knowledge sets to interoperate. To achieve this goal, it is necessary for queries to return results that include knowledge, and inferred knowledge, from multiple datasets and terminologies, using the alignment information. Furthermore, ontology alignment is not an exact science, and concept matchings often involve uncertainty. The goal of this paper is to provide a semantic web repository that supports applying alignments to the dataset and reasoning with alignments. Our goal is to provide high performance queries that return results that include inference across alignment matchings, and rank results using certainty information. Our semantic web repository uses distributed inference and probabilistic reasoning to allow datasets to be efficiently updated with ontology alignments. We materialize the inferred, aligned data and make it available in efficient queries.".
- 529 hasAuthorList authorList.
- 529 isPartOf poster-demo-proceedings.
- 529 title "A Semantic Web Repository for Managing and Querying Aligned Knowledge".
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