Matches in ScholarlyData for { ?s ?p ?o. }
- 110 sameAs 110.
- 110 abstract "The availability of streaming data sources is progressively increasing thanks to the development of ubiquitous data capturing technologies such as sensor networks. The heterogeneity of these sources introduces the requirement of providing data access in a unified and coherent manner, whilst allowing the user to express their needs at an ontological level. In this paper we describe an ontology-based streaming data access service. Sources link their data content to ontologies through s2o mappings. Users can query the ontology using sparqlStream, an extension of sparql for streaming data. A preliminary implementation of the approach is also presented. With this proposal we expect to set the basis for future efforts in ontology-based streaming data integration.".
- 110 hasAuthorList authorList.
- 110 isPartOf proceedings.
- 110 keyword "semantic web".
- 110 title "Enabling Ontology-based Access to Streaming Data Sources".
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- item-1 type ListItem.
- item-1 hasContent jean-paul-calbimonte.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent oscar-corcho.
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- item-3 type ListItem.
- item-3 hasContent alasdair-j-g-gray.
- item-3 previous item-2.
- 114 creator lei-zhang-1.
- 114 creator rudi-studer.
- 114 creator thanh-tran.
- 114 type InProceedings.
- 114 label "Summary Models for Routing Keywords to Linked Data Sources".
- 114 sameAs 114.
- 114 abstract "The proliferation of linked data on the Web paves the way to a new generation of applications that exploit heterogeneous data from different sources. However, because this Web of data is large and continuously evolving, it is non-trivial to identify the relevant link data sources and to express some given information needs as structured queries against these sources. In this work, we allow users to express needs in terms of simple keywords. Given the keywords, we define the problem of finding the relevant sources as the one of keyword query routing. As a solution, we present a family of summary models, which compactly represents the Web of linked data and allows to quickly find relevant sources. The proposed models capture information at different levels, representing summaries of varying granularity. They represent different trade-offs between effectiveness and efficiency. We provide a theoretical analysis of these trade-offs and also, verify them in experiments carried out in a real-world setting using more than 150 publicly available datasets.".
- 114 hasAuthorList authorList.
- 114 isPartOf proceedings.
- 114 keyword "semantic web".
- 114 title "Summary Models for Routing Keywords to Linked Data Sources".
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- item-1 hasContent lei-zhang-1.
- item-1 hasContent rudi-studer.
- item-1 hasContent thanh-tran.
- item-1 next item-1.
- item-1 previous item-1.
- 119 creator achille-fokoue.
- 119 creator kavitha-srinivas.
- 119 creator songyun-duan.
- 119 type InProceedings.
- 119 label "One size does not fit all: Customizing Ontology Alignment Using User Feedback".
- 119 sameAs 119.
- 119 abstract "A key problem in ontology alignment is that different ontological features (e.g., lexical, structural or semantic) vary widely in their importance for different ontology comparisons. In this paper, we present a set of principled techniques that exploit user feedback to customize the alignment process for a given pair of ontologies. Specifically, we propose an iterative supervised-learning approach to (i) determine the weights assigned to each alignment strategy and use these weights to combine them for matching ontology entities; and (ii) determine the degree to which the information from such matches should be propagated to their neighbors along different relationships for collective matching. We demonstrate the utility of these techniques with standard benchmark datasets and large, real-world ontologies, showing improvements in F-scores of up to 70% from the weighting mechanism and up to 40% from collective matching, compared to an unweighted linear combination of matching strategies without information propagation. ".
- 119 hasAuthorList authorList.
- 119 isPartOf proceedings.
- 119 keyword "semantic web".
- 119 title "One size does not fit all: Customizing Ontology Alignment Using User Feedback".
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- item-1 type ListItem.
- item-1 hasContent songyun-duan.
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- item-2 type ListItem.
- item-2 hasContent achille-fokoue.
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- item-3 type ListItem.
- item-3 hasContent kavitha-srinivas.
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- 123 creator bijan-parsia.
- 123 creator matthew-horridge.
- 123 creator ulrike-sattler.
- 123 type InProceedings.
- 123 label "Justification Oriented Proofs in OWL".
- 123 sameAs 123.
- 123 abstract "Justifications - that is, minimal entailing subsets of an ontology - are currently the dominant form of explanation provided by ontology engineering environments, especially those focused on the Web Ontology Language (OWL). Despite this, there are naturally occurring justifications that can be very difficult to understand. In essence, justifications are merely the premises of a proof and, as such, do not articulate the (often non-obvious) reasoning which connect those premises with the conclusion. This paper presents justification oriented proofs as a potential solution to this problem.".
- 123 hasAuthorList authorList.
- 123 isPartOf proceedings.
- 123 keyword "semantic web".
- 123 title "Justification Oriented Proofs in OWL".
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- item-1 type ListItem.
- item-1 hasContent matthew-horridge.
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- item-2 type ListItem.
- item-2 hasContent bijan-parsia.
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- item-3 type ListItem.
- item-3 hasContent ulrike-sattler.
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- 125 creator george-eadon.
- 125 creator vladimir-kolovski.
- 125 creator zhe-wu.