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1Koumenides, C.L. ; Shadbolt, N.R.: Ranking methods for entity-oriented semantic web search.
In: Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1091-1106.
(Advances in information science)
Abstract: This article provides a technical review of semantic search methods used to support text-based search over formal Semantic Web knowledge bases. Our focus is on ranking methods and auxiliary processes explored by existing semantic search systems, outlined within broad areas of classification. We present reflective examples from the literature in some detail, which should appeal to readers interested in a deeper perspective on the various methods and systems implemented in the outlined literature. The presentation covers graph exploration and propagation methods, adaptations of classic probabilistic retrieval models, and query-independent link analysis via flexible extensions to the PageRank algorithm. Future research directions are discussed, including development of more cohesive retrieval models to unlock further potentials and uses, data indexing schemes, integration with user interfaces, and building community consensus for more systematic evaluation and gradual development.
Inhalt: Verfügbar unter: http://onlinelibrary.wiley.com/doi/10.1002/asi.23018/pdf.
2Smith, D.A. ; Shadbolt, N.R.: FacetOntology : expressive descriptions of facets in the Semantic Web.
Abstract: The formal structure of the information on the Semantic Web lends itself to faceted browsing, an information retrieval method where users can filter results based on the values of properties ("facets"). Numerous faceted browsers have been created to browse RDF and Linked Data, but these systems use their own ontologies for defining how data is queried to populate their facets. Since the source data is the same format across these systems (specifically, RDF), we can unify the different methods of describing how to quer the underlying data, to enable compatibility across systems, and provide an extensible base ontology for future systems. To this end, we present FacetOntology, an ontology that defines how to query data to form a faceted browser, and a number of transformations and filters that can be applied to data before it is shown to users. FacetOntology overcomes limitations in the expressivity of existing work, by enabling the full expressivity of SPARQL when selecting data for facets. By applying a FacetOntology definition to data, a set of facets are specified, each with queries and filters to source RDF data, which enables faceted browsing systems to be created using that RDF data.
Anmerkung: Volltext unter: ..\http://eprints.soton.ac.uk/345363/1/paper.pdf.
Themenfeld: Wissensrepräsentation ; Semantisches Umfeld in Indexierung u. Retrieval ; Semantic Web
Objekt: RDF ; FacetOntology