2018
DOI: 10.1007/978-3-319-99247-1_12
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Automated Reasoning over Provenance-Aware Communication Network Knowledge in Support of Cyber-Situational Awareness

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Cited by 12 publications
(11 citation statements)
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“…Our experiments to compare RDF data provenance approaches used multiple formalisms, datasets, and software tools. For the knowledge domain of communications networks, earlier we introduced a quad-based RDF provenance capturing approach [40], GraphSource, and developed a provenanceaware LOD dataset, ISPNet [106,111], both of which have been used in the experiments. To convert provenance-aware RDF datasets based on RDF quadruples to datasets that utilize the singleton property to capture provenance, we used the software tool RDF Contextualizer 90 designed by Nguyen and Sheth [141].…”
Section: Methodsmentioning
confidence: 99%
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“…Our experiments to compare RDF data provenance approaches used multiple formalisms, datasets, and software tools. For the knowledge domain of communications networks, earlier we introduced a quad-based RDF provenance capturing approach [40], GraphSource, and developed a provenanceaware LOD dataset, ISPNet [106,111], both of which have been used in the experiments. To convert provenance-aware RDF datasets based on RDF quadruples to datasets that utilize the singleton property to capture provenance, we used the software tool RDF Contextualizer 90 designed by Nguyen and Sheth [141].…”
Section: Methodsmentioning
confidence: 99%
“…Approaches to provide alternatives to RDF reification and n-ary relations include -lossless decomposition of RDF graphs: RDF Molecule [42]; -extensions of the RDF data model: N3Logic [43,44], RDF + [45,46], annotated RDF (aRDF) [47], SPO+ Time+Location (SPOTL) [48], RDF* [49], RSP-QL * [50]; -alternate data models: mapping objects to vectors [18], GSMM [51]; -extensions of the RDFS semantics: Annotated RDF Schema [52,53]; -purpose-designed implementation techniques -using annotations: RDF/XML Source Declaration, 25 resource annotation [54]; -via encapsulating provenance information in tuple elements: Provenance Context Entity (PaCE) [55], Singleton property [56]; -using knowledge organization systems; -adding provenance to triples, forming RDF quadruples: N-Quads, 26 Named graphs [57,58], RDF/S graphsets [59], RDF triple coloring [60], nanopublications [61], Hoganification [62]), GraphSource (Sikos et al [40] and Sikos et al [63] collectively); -hybrid approaches, which have multiple traits of the above categories, such as g-RDF [64], which extends RDFS semantics, defines provenance stable models and provenance Herbrand interpretations, and utilizes ontolo- 25 https://www.w3.org/Submission/rdfsource/ 26 https://www.w3.org/TR/n-quads/ gies with positive and strongly negated RDF triples (gRDF triples) and derivation rules.…”
Section: Data Models and Annotation Framework For Rdf Provenancementioning
confidence: 99%
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