Finding and Ranking Knowledge on the Semantic Web

Abstract

Abstract. Swoogle helps software agents and knowledge engineers find Semantic Web knowledge encoded in RDF and OWL documents on the Web. Navigating such a Semantic Web on the Web is difficult due to the paucity of explicit hyperlinks beyond the namespaces in URIrefs and the few inter-document links like rdfs:seeAlso and owl:imports. In order to solve this issue, this paper proposes a novel Semantic Web navigation model providing additional navigation paths through Swoogle's search services such as the Ontology Dictionary. Using this model, we have developed algorithms for ranking the importance of Semantic Web objects at three levels of granularity: documents, terms and RDF graphs. Experiments show that Swoogle outperforms conventional web search engine and other ontology libraries in finding more ontologies, ranking their importance, and thus promoting the use and emergence of consensus ontologies.

The Ecology of Ontologies in the Public Domain

“…A similar magnitude of ontologies was reported by [19], who found 4000 Semantic Web Ontologies (SWO). We selected a set of 1,600 ontologies for further analysis based on their relative complexity and an encoding which allowed ontologies to function with all of our tools and software libraries without error.…”

“…OntoKohj classifies ontologies according to domain content using a naïve Bayesian approach. Swoogle's search services such as the Ontology Dictionary offer algorithms for ranking the importance, in terms of frequency and communal acceptance, of Semantic Web components at three levels of granularity: documents, terms and RDF graphs [19]. AKTiveRank [20] is a prototype system for ranking ontologies based on the analysis of their structures using a series of combined metrics.…”

Integrated Retrieval from Web of Documents and Data

“…The user can use HQL to quickly get a feel for the underlying data. Document retrieval systems retrieve documents based upon their annotations/descriptions [10,19,20,21,22,23,24], but none seems to aim at retrieving HTML, RDF and hybrid documents. We index a document based upon words, URIs, and triples that can be extracted from the document, and give the user a light-weight query language to retrieve documents based upon this information.…”

“…Swoogle [21] specializes in retrieving ontology documents and URIs. It doesn't seem to index HTML documents or support triple search or keyword-based querying of the RDF graph.…”

PowerMap: Mapping the Real Semantic Web on the Fly

“…There is now a reasonable amount of online semantic data, to such an extent that the need has arisen for a semantic search engine, Swoogle [6], which can crawl and index all these data. Hence, we are now slowly reaching a key point in the history of this very young discipline, where we can start moving away from the early applications characterized by limited heterogeneity and start developing the kind of applications, which will define the SW of the future.…”