Web Ontology Language

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Anupam Joshi - One of the best experts on this subject based on the ideXlab platform.

  • soupa standard Ontology for ubiquitous and pervasive applications
    International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004
    Co-Authors: Harry Chen, Tim Finin, Filip Perich, Anupam Joshi
    Abstract:

    We describe a shared Ontology called SOUPA - standard Ontology for ubiquitous and pervasive applications. SOUPA is designed to model and support pervasive computing applications. This Ontology is expressed using the Web Ontology Language OWL and includes modular component vocabularies to represent intelligent agents with associated beliefs, desires, and intentions, time, space, events, user profiles, actions, and policies for security and privacy. We discuss how SOUPA can be extended and used to support the applications of CoBrA, a broker-centric agent architecture for building smart meeting rooms, and MoGATU, a peer-to-peer data management for pervasive environments.

  • semantic Web in the context broker architecture
    IEEE International Conference on Pervasive Computing and Communications, 2004
    Co-Authors: Harry Chen, Helen Chen, Anupam Joshi
    Abstract:

    This document describes a new architecture that exploits semantic Web technologies for supporting pervasive context-aware systems. This architecture called context broker architecture (CobrA) differs from other architectures in using the Web Ontology Language OWL for modelling ontologies of context and for supporting context reasoning. Central to our architecture is a broker agent that maintains a shared model of context for all computing entities in the space and enforces the privacy policies defined by the users when sharing their contextual information. We describe the use of CoBrA, its associated ontologies, and its privacy protection mechanism in an intelligent meeting room prototype.

  • semantic Web in a pervasive context aware architecture
    Ubiquitous Computing, 2003
    Co-Authors: Harry Chen, Tim Finin, Anupam Joshi
    Abstract:

    This document describes a new approach that explores the use of Semantic Web Languages in building an architecture for supporting context-aware systems. This new architecture called Context Broker Architecture (CoBrA) differs from other architectures in using the Web Ontology Language OWL for modeling ontologies of context and for supporting context reasoning. Central to our architecture is a broker agent that maintains a shared model of context for all computing entities in the space and enforces the privacy policies defined by the users. We also describe the use of CoBrA and its associated ontologies in prototyping an intelligent meeting room.

  • Using OWL in a Pervasive Computing Broker
    Proceedings of the Workshop on Ontologies in Agent Systems (OAS), 2003
    Co-Authors: Harry Chen, Anupam Joshi
    Abstract:

    Computing is moving toward a pervasive context-aware environment in\nwhich agents with limited resources will require external support\nto help them become context-aware. In this paper, we describe an\nagent based architecture called Context Broker Architecture (CoBrA)\nto help these agents to acquire, reason about and share context knowledge.\nA key component in our architecture is an explicit context Ontology\ndefined using the Web Ontology Language (OWL). This Ontology models\nthe basic concepts of people, agents, places, and presentation events.\nWe also describe a use case scenario and prototype design of CoBrA\nin an intelligent meeting room environment.

Peter F Patelschneider - One of the best experts on this subject based on the ideXlab platform.

  • owl 2 Web Ontology Language primer second edition
    2012
    Co-Authors: Pascal Hitzler, Bijan Parsia, Peter F Patelschneider, Markus Krotzsch, Sebastian Rudolph
    Abstract:

    The OWL 2 Web Ontology Language, informally OWL 2, is an Ontology Language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents.

  • owl 2 Web Ontology Language rdf based semantics
    2009
    Co-Authors: Jeremy J Carroll, I Herman, Peter F Patelschneider
    Abstract:

    The OWL 2 Web Ontology Language, informally OWL 2, is an Ontology Language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents. This document defines the RDF-compatible model-theoretic semantics of OWL 2.

  • owl 2 Web Ontology Language mapping to rdf graphs
    2009
    Co-Authors: Peter F Patelschneider, Bernardo Cuenca Grau
    Abstract:

    The OWL 2 Web Ontology Language, informally OWL 2, is an Ontology Language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents. This document defines the mapping of OWL 2 ontologies into RDF graphs, and vice versa.

  • owl 2 Web Ontology Language
    2009
    Co-Authors: Manchester Syntax, Matthew Horridge, Peter F Patelschneider
    Abstract:

    The OWL 2 Web Ontology Language, informally OWL 2, is an Ontology Language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents. The Manchester syntax is a user-friendly compact syntax for OWL 2 ontologies; it is frame-based, as opposed to the axiom-based other syntaxes for OWL 2. The Manchester Syntax is used in the OWL 2 Primer, and this document provides the Language used there. It is expected that tools will extend the Manchester Syntax for their own purposes, and tool builders may collaboratively extend the common Language.

  • owl 2 Web Ontology Language structural specification and functional style syntax
    2008
    Co-Authors: Boris Motik, Bijan Parsia, Peter F Patelschneider, C Bock, Achille Fokoue, Peter Haase, Rinke Hoekstra, Alan Ruttenberg, Ulrike Sattler
    Abstract:

    The OWL 2 Web Ontology Language, informally OWL 2, is an Ontology Language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents. The meaningful constructs provided by OWL 2 are defined in terms of their structure. As well, a functional-style syntax is defined for these constructs, with examples and informal descriptions. One can reason with OWL 2 ontologies under either the RDF-Based Semantics [OWL 2 RDF-Based Semantics] or the Direct Semantics [OWL 2 Direct Semantics]. If certain restrictions on OWL 2 ontologies are satisfied and the Ontology is in OWL 2 DL, reasoning under the Direct Semantics can be implemented using techniques well known in the literature.

Bijan Parsia - One of the best experts on this subject based on the ideXlab platform.

  • owl 2 Web Ontology Language primer second edition
    2012
    Co-Authors: Pascal Hitzler, Bijan Parsia, Peter F Patelschneider, Markus Krotzsch, Sebastian Rudolph
    Abstract:

    The OWL 2 Web Ontology Language, informally OWL 2, is an Ontology Language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents.

  • owl 2 Web Ontology Language structural specification and functional style syntax
    2008
    Co-Authors: Boris Motik, Bijan Parsia, Peter F Patelschneider, C Bock, Achille Fokoue, Peter Haase, Rinke Hoekstra, Alan Ruttenberg, Ulrike Sattler
    Abstract:

    The OWL 2 Web Ontology Language, informally OWL 2, is an Ontology Language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents. The meaningful constructs provided by OWL 2 are defined in terms of their structure. As well, a functional-style syntax is defined for these constructs, with examples and informal descriptions. One can reason with OWL 2 ontologies under either the RDF-Based Semantics [OWL 2 RDF-Based Semantics] or the Direct Semantics [OWL 2 Direct Semantics]. If certain restrictions on OWL 2 ontologies are satisfied and the Ontology is in OWL 2 DL, reasoning under the Direct Semantics can be implemented using techniques well known in the literature.

  • OWL 2 Web Ontology Language XML Serialization
    2008
    Co-Authors: Boris Motik, Peter Patel-schneider, Achille Fokoue, Rinke Hoekstra, S. Bechhofer, B. Cuenca Grau, Bijan Parsia
    Abstract:

    The OWL 2 Web Ontology Language, informally OWL 2, is an Ontology Language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents. This document specifies an XML serialization for OWL 2 that mirrors its structural specification. An XML schema defines this syntax and is available as a separate document, as well as being included here.

  • finding all justifications of owl dl entailments
    International Semantic Web Conference, 2007
    Co-Authors: Aditya Kalyanpur, Matthew Horridge, Bijan Parsia, Evren Sirin
    Abstract:

    Finding the justifications of an entailment (that is, all the minimal set of axioms sufficient to produce an entailment) has emerged as a key inference service for the Web Ontology Language (OWL). Justifications are essential for debugging unsatisfiable classes and contradictions. The availability of justifications as explanations of entailments improves the understandability of large and complex ontologies. In this paper, we present several algorithms for computing all the justifications of an entailment in an OWL-DL Ontology and show, by an empirical evaluation, that even a reasoner independent approach works well on real ontologies.

  • combining owl ontologies using e connections
    Journal of Web Semantics, 2006
    Co-Authors: Bernardo Cuenca Grau, Bijan Parsia, Evren Sirin
    Abstract:

    The standardization of the Web Ontology Language (OWL) leaves (at least) two crucial issues for Web-based ontologies unsatisfactorily resolved, namely how to represent and reason with multiple distinct, but linked ontologies, and how to enable effective knowledge reuse and sharing on the Semantic Web. In this paper, we present a solution for these fundamental problems based on E-Connections. We aim to use E-Connections to provide modelers with suitable means for developing Web ontologies in a modular way and to provide an alternative to the owl:imports construct. With such motivation, we present in this paper a syntactic and semantic extension of the Web Ontology Language that covers E-Connections of OWL-DL ontologies. We show how to use such an extension as an alternative to the owl:imports construct in many modeling situations. We investigate different combinations of the logics SHIN(D), SHON(D) and SHIO(D) for which it is possible to design and implement reasoning algorithms, well-suited for optimization. Finally, we provide support for E-Connections in both an Ontology editor, SWOOP, and an OWL reasoner, Pellet.

Harry Chen - One of the best experts on this subject based on the ideXlab platform.

  • soupa standard Ontology for ubiquitous and pervasive applications
    International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004
    Co-Authors: Harry Chen, Tim Finin, Filip Perich, Anupam Joshi
    Abstract:

    We describe a shared Ontology called SOUPA - standard Ontology for ubiquitous and pervasive applications. SOUPA is designed to model and support pervasive computing applications. This Ontology is expressed using the Web Ontology Language OWL and includes modular component vocabularies to represent intelligent agents with associated beliefs, desires, and intentions, time, space, events, user profiles, actions, and policies for security and privacy. We discuss how SOUPA can be extended and used to support the applications of CoBrA, a broker-centric agent architecture for building smart meeting rooms, and MoGATU, a peer-to-peer data management for pervasive environments.

  • semantic Web in the context broker architecture
    IEEE International Conference on Pervasive Computing and Communications, 2004
    Co-Authors: Harry Chen, Helen Chen, Anupam Joshi
    Abstract:

    This document describes a new architecture that exploits semantic Web technologies for supporting pervasive context-aware systems. This architecture called context broker architecture (CobrA) differs from other architectures in using the Web Ontology Language OWL for modelling ontologies of context and for supporting context reasoning. Central to our architecture is a broker agent that maintains a shared model of context for all computing entities in the space and enforces the privacy policies defined by the users when sharing their contextual information. We describe the use of CoBrA, its associated ontologies, and its privacy protection mechanism in an intelligent meeting room prototype.

  • semantic Web in a pervasive context aware architecture
    Ubiquitous Computing, 2003
    Co-Authors: Harry Chen, Tim Finin, Anupam Joshi
    Abstract:

    This document describes a new approach that explores the use of Semantic Web Languages in building an architecture for supporting context-aware systems. This new architecture called Context Broker Architecture (CoBrA) differs from other architectures in using the Web Ontology Language OWL for modeling ontologies of context and for supporting context reasoning. Central to our architecture is a broker agent that maintains a shared model of context for all computing entities in the space and enforces the privacy policies defined by the users. We also describe the use of CoBrA and its associated ontologies in prototyping an intelligent meeting room.

  • Using OWL in a Pervasive Computing Broker
    Proceedings of the Workshop on Ontologies in Agent Systems (OAS), 2003
    Co-Authors: Harry Chen, Anupam Joshi
    Abstract:

    Computing is moving toward a pervasive context-aware environment in\nwhich agents with limited resources will require external support\nto help them become context-aware. In this paper, we describe an\nagent based architecture called Context Broker Architecture (CoBrA)\nto help these agents to acquire, reason about and share context knowledge.\nA key component in our architecture is an explicit context Ontology\ndefined using the Web Ontology Language (OWL). This Ontology models\nthe basic concepts of people, agents, places, and presentation events.\nWe also describe a use case scenario and prototype design of CoBrA\nin an intelligent meeting room environment.

Uzay Kaymak - One of the best experts on this subject based on the ideXlab platform.

  • tOWL: A Temporal Web Ontology Language
    IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), 2012
    Co-Authors: Viorel Milea, Flavius Frasincar, Uzay Kaymak
    Abstract:

    Through its interoperability and reasoning capabilities, the Semantic Web opens a realm of possibilities for developing intelligent systems on the Web. The Web Ontology Language (OWL) is the most expressive standard Language for modeling ontologies, the cornerstone of the Semantic Web. However, up until now, no standard way of expressing time and time-dependent information in OWL has been provided. In this paper, we present a temporal extension of the very expressive fragment SHIN(D) of the OWL Description Logic Language, resulting in the temporal OWL Language. Through a layered approach, we introduce three extensions: 1) concrete domains, which allow the representation of restrictions using concrete domain binary predicates; 2) temporal representation , which introduces time points, relations between time points, intervals, and Allen's 13 interval relations into the Language; and 3) timeslices/fluents, which implement a perdurantist view on individuals and allow for the representation of complex temporal aspects, such as process state transitions. We illustrate the expressiveness of the newly introduced Language by using an example from the financial domain.

  • A Temporal Web Ontology Language
    ERIM report series research in management Erasmus Research Institute of Management, 2009
    Co-Authors: Dv Viorel Milea, Flavius Frasincar, Uzay Kaymak
    Abstract:

    The Web Ontology Language (OWL) is the most expressive standard Language for modeling ontologies on the Semantic Web. In this paper, we present a temporal extension of the very expressive fragment SHIN(D) of the OWL-DL Language resulting in the tOWL Language. Through a layered approach we introduce 3 extensions: i) Concrete Domains, that allows the representation of restrictions using concrete domain binary predicates, ii) Temporal Representation, that introduces timepoints, relations between timepoints, intervals, and Allen’s 13 interval relations into the Language, and iii) TimeSlices/Fluents, that implements a perdurantist view on individuals and allows for the representation of complex temporal aspects, such as process state transitions. We illustrate the expressiveness of the newly introduced Language by providing a TBox representation of Leveraged Buy Out (LBO) processes in financial applications and an ABox representation of one specific LBO.

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