OWL Web ontology language overview

By Deborah L. McGuinness. 2004

4,787 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/eff6287b55d680f3daa1be4effdf063999b3e0d1

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Citations in the corpus

Protein Data Bank Japan (PDBj): maintaining a structural data archive and resource description framework format (2011, methodology): “To enhance the interoperability of the PDB data, we have recently developed PDB/RDF, PDB data in the Resource Description Framework (RDF) format, along with its ontology in the Web Ontology Language (OWL) based on the PDB mmCIF Exchange Dictionary.”
Exploring social annotations for the semantic web (2006, background): “These semantic markups are written in standard languages such as RDF [20] and OWL [23] and the semantics is provided by the ontology that is shared among different web agents and applications.”
Semantic Web in the context broker architecture (2004, unknown): “The OWL language builds on XML’s ability to define customized tagging schemes and RDF’s flexible approach to represent data [16].”
Gumo - The General User Model Ontology (2005, background): “Nonetheless, the web ontology language OWL has more facilities for expressing semantics, [10], and it has a greater machine interpretability than XML and RDF.”
Towards an Extensible Context Ontology for Ambient Intelligence (2004, background): “Some general description frameworks for expressing context are the Resource Description Framework (RDF) [7] and the Web Ontology Language (OWL) [8].”
C-OWL: Contextualizing Ontologies (2003, methodology): “To this end, we start from the standard Web ontology language OWL [14].”
Kernel Methods for Mining Instance Data in Ontologies (2007, background): “The standardization of the ontology languages RDF(S) [1] and OWL [2] has led to an ever increasing amount of available semantic annotations.”
Semantic annotation for knowledge management: Requirements and a survey of the state of the art (2006, methodology): “Two types of standard are required, standards for describing ontologies such as the Web Ontology Language OWL [ 16 ] and standards for annotations such as the W3C’s RDF annotation schema [17].”
AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions (2021, methodology): “In the area of semantic web, Web Ontology Language (OWL) [180] is mostly used to formalize and represent these concepts and their semantic relationships in a graphical representation to build an ontology-based security model.”
Bringing Semantics to Web Services: The OWL-S Approach (2004, background): “In particular, the authors of this paper, members of the OWL-S Coalition, are developing the Ontology Web Language for Services (OWL-S) [25], which seeks to provide the building blocks for encoding rich semantic service descriptions, in a way that builds naturally upon OWL [19], the Semantic Web lan”
Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs (2016, background): “It allows a domain to be specified in terms of concepts (or classes), rules (or properties), individuals and axioms with a uniform syntax and unambiguous semantics [45], [48].”
Agent-based systems for manufacturing (2006, background): “These representation technologies set the base for the recently developed Web Ontology Language (OWL) [188].”