OWL Web Ontology Language - Reference

By Mike Dean, A. Schreiber, S. Bechofer, F. V. Harmelen, J. Hendler, Ian Horrocks, D. MacGuinness, Peter F. Patel-Schneider, L. Stein. 2004

2,791 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6ba1d7b4c2fa1cfbba255131ed904d25b9f60dd2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

A Tableaux Decision Procedure for SHOIQ (2005, background): “…[McGuinness & Wright, 1998], and information integration [Calvanese et al., 1998]), they are perhaps best known as the basis for widely used ontology languages such as OIL, DAML+OIL and OWL [Horrocks et al., 2003], the last of which is now a W3C recommendation [Bechhofer et al., 2004].”
Research challenges of autonomic computing (2005, background): “Advances in OWL [19] and other efforts to develop Web Services semantics will help improve the ability of autonomic elements to express their needs, capabilities, and properties, and to reason about the needs, capabilities, and properties of other autonomic elements—enabling them to discover and use”
Tabulator: Exploring and Analyzing linked data on the Semantic Web (2006, background): “There could be several reasons for this : (i) the emphasis during the development of OWL [3] on inference over fixed datasets, (ii) the chicken-and-egg problem with all network effects, that a lack of linked data is self-sustaining in that without things to link to, there is no incentive for”
Ontology-based information extraction: An introduction and a survey of current approaches (2010, methodology): “They can be represented using an ontology definition language such as the Web Ontology Language (OWL) [30].”
OWLIM - A Pragmatic Semantic Repository for OWL (2005, background): “The major challenge towards building such infrastructure is the expressivity of the underlying standards: RDF(S), [6], and OWL, [ 2 ].”
Ontology based context modeling and reasoning using OWL (2004, methodology): “Among these standards, Resource Description Framework (RDF) provides data model specifications and XML-based serialization syntax, Web Ontology Language (OWL) [ 6 ] enables the definition of domain ontologies and sharing of domain vocabularies.”
Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support (2008, background): “Strictly speaking, collecting names is the function of terminology, not ontology, and ontology languages such as OWL, the Web Ontology Language, treat names as labels or annotations [44].”
Automated analysis of feature models 20 years later: A literature review (2010, methodology): “In their work, the authors introduce a set of mapping rules to translate feature models into OWL-DL ontologies [32].”
An ontology for context-aware pervasive computing environments (2003, background): “COBRA-ONT expressed in the Web Ontology Language OWL (Bechhofer et al., 2003) defines typical concepts associated with places, agents, and events.”
Ontology change: classification and survey (2008, background): “Under one understanding (Kalfoglou & Schorlemmer 2003), ontology translation refers to the process of changing the formal representation of the ontology from one language to another (say from OWL (Dean et al. 2004) to RDF (Miller et al. 2006)).”
Semantic Web in the context broker architecture (2004, background): “Properties in OWL lets us assert general facts about the members of classes and specific facts about individuals [26].”
Foundations of semantic web databases (2004, background): “Extensions of the model, adding expressiveness leading to the realm of descriptive logics, can be found in the Web Ontology Language , OWL [17].”