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What is OWL

Handbook of Research on Trends in the Diagnosis and Treatment of Chronic Conditions
The Web Ontology Language is a family of knowledge representation languages or ontology languages for authoring ontologies or knowledge bases. The languages are characterized by formal semantics and RDF/XML-based serializations for the Semantic Web. OWL is endorsed by the World Wide Web Consortium (W3C) and has attracted academic, medical and commercial interest.
Published in Chapter:
Definition of a Pervasive Architecture for a Central Monitoring of Homecare Systems
Giovani Rubert Librelotto (Universidade Federal de Santa Maria, Brazil), Leandro Oliveira Freitas (Universidade Federal de Santa Maria, Brazil), Ederson Bastiani (Federal Institute Farroupilha, Brazil), Cicero Ribeiro (Universidade Federal de Santa Maria, Brazil), and Samuel Vizzotto (Universidade Federal de Santa Maria, Brazil)
DOI: 10.4018/978-1-4666-8828-5.ch019
Abstract
Every year the queues in hospitals publics and privates grows due to, among others, the increasing of the world population and the delay in the patients service. This is a serious problem faced by administrators of hospitals, which believe that it is increasingly difficult to offer a service of quality to those who search for them. One of the ways to decrease these queues is through the development of homecare systems that allow the patient to receive the clinic treatment directly in his house. The development of these kinds of systems would help to decrease the queues and consequently, would improve the attendance of those who goes to the hospitals looking for assistance. Considering this, this work has as main purpose to present the architecture modeling of a pervasive system to be applied in homecare environments. The pervasive systems developed from this modeling aim to improve the services provided by healthcare professionals in the treatment of patients that are located in their houses. The architecture proposed by the methodology uses concepts of pervasive computing to provide access to information any- time and wherever the user is, once that a homecare environment has a high level of dynamicity. The knowledge representation of the homecare environment needed in the modeling of the architecture is made through ontologies due to the possibility of reuse of the information stored, as well as the interoperability of information among different computational devices. To validate the proposed methodology, we present two use cases, which are also used to demonstrate the workflow of the pervasive system of homecare.
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More Results
OWL: Web Ontology Language
A markup language for publishing and sharing data using ontologies on the Internet. OWL is a vocabulary extension of the RDF and is derived from the DAML+OIL Web Ontology Language.
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Semantic Web-Linked Data and Libraries
Web Ontology Language is a mechanism to process the content of web information. It provides more machine interpretability than XML, RDF and RDF Schema by facilitating additional vocabulary with the existing semantics.
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RDF and OWL for Knowledge Management
The Web Ontology Language (OWL) is a semantic markup language for publishing and sharing ontologies on the World Wide Web. OWL is developed as a vocabulary extension of RDF and is derived from the DAML+OIL Web Ontology Language. An OWL ontology is an RDF graph, which is in turn a set of RDF triples. OWL includes three specific sub-languages, characterized by an increasing level of complexity and expressiveness, OWL Lite, OWL DL – DL stands for Description Logics, a particular, logic-oriented, knowledge representation language introduced to supply a formal foundation for frame-based systems – and OWL Full. The new OWL 2 proposals extends the ‘standard’ OWL Ontology Language with a small set of features like an increased expressiveness of properties, qualified cardinality constructors, extended datatype support, and a sort of meta-modeling device called “punning”.
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Standards for Achieving Interoperability of eGovernment in Europe
The W3C’s Web Ontology Language, an RDF-based language for defining ontologies and rules for logical inferencing. OWL 1 was published in 2004, OWL 2 in 2009.
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Semantic Web Platforms for Bioinformatics and Life Sciences
Acronym for Web Ontology Language, a markup language used to create ontologies within the Semantic Web framework.
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Multi-Layered Semantic Data Models
A language to describe Web ontologies. It uses an XML format and it contains a formal description logic component, too. It provides the following extra functionality: classification, type and cardinality constraints, thesauri, decidability.
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Classification of Semantic Web Technologies
The concept of Web Ontology Language, the most expressive of ontology languages currently defined for the Semantic Web. It has been developed by the W3C’s Web Ontology Working Group and intended to be the successor of the DAML+May 5, 2005 OIL language. It is an extension of RDF Schema and a W3C Recommendation since 2004.
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What are Ontologies Useful For?
The Web Ontology Language (OWL) is an ontology language for the Semantic Web with formally defined meaning, usually exploited to express ontologies. The primary OWL syntax is RDF/XML. OWL specifications are managed by the WWW Consortium (W3C). The current specification, OWL 2, includes three different sub-languages, called profiles , suited to different applicative goals.
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Rich-Prospect Browsing Interfaces
The Web ontology language is a semantic markup language for publishing and sharing ontologies on the Web. It is primarily aimed at representing information about categories of objects and how objects are interrelated. OWL can also represent information about the objects themselves.
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Using the Semantic Web Rule Language in the Development of Ontology-Driven Applications
The Web Ontology Language (OWL) is emerging as a core Semantic Web language. OWL provides a language for constructing ontologies that provide high-level descriptions of Web content. This language is built on a description logic foundation and provides strong formal consistency guarantees when checking ontologies for inconsistencies and when deducing new knowledge.
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Sharing Ontologies and Rules Using Model Transformations
Web Ontology Language designed for use by applications that need to process the content of information instead of just presenting information to humans. OWL can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms. This representation of terms and their interrelationships is called an ontology.
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Inconsistency, Logic Databases, and Ontologies
Ontology Web Language. Language (based on Description Logics) designed to represent ontologies capable of being processed by machines. The World Wide Web Consortium released OWL as recommendation http://www.w3.org/2001/sw/webOnt.
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The Web Ontology Language (OWL) and Its Applications
A markup language for publishing and sharing data using ontologies on the Internet. OWL is a vocabulary extension of the RDF and is derived from the DAML+OIL Web Ontology Language.
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Mapping Policies to Web Rules: A Case of the KAoS Policy Language
Web Ontology Language designed for use by applications that need to process the content of information instead of just presenting information to humans. OWL can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms. This representation of terms and their interrelationships is called an ontology.
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Looking for Information in Fuzzy Relational Databases Accessible Via Web
Language Markup language for publishing and sharing data using ontologies on the Internet. OWL is a vocabulary extension of the Resource description framework (RDF) and is derived from the DAML+OIL Web Ontology Language (see also DAML and OIL). Together with RDF and other components, these tools make up the Semantic Web project.
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Ontology-Based Semantic Models for Databases
A language to describe web-ontologies. It uses an XML format and it contains a formal description logic component, too. It provides the following base functionalities: classification, type and cardinality constraints, thesauri, decidability.
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An Ontology-Based Context-Aware Infrastructure for Smart Homes
The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies, and is endorsed by the World Wide Web Consortium. OWL can be used to explicitly represent the meaning of terms in vocabularies and the relationships between those terms.
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Supporting Semantic Verification of Process Models
The Web Ontology Language (OWL) is a language standardized by the World Wide Web Consortium (W3C) for describing and sharing ontologies on the World Wide Web.
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Leveraging Linked Data in Open Education
It is the acronym of Web Ontology Language, semantic web technology used to create an ontology computable model.
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Using Semantic Web Tools for Ontologies Construction
The Web Ontology Language (OWL) is a semantic markup language for publishing and sharing ontologies on the World Wide Web. OWL is developed as a vocabulary extension of RDF and is derived from the DAML+OIL Web Ontology Language. An OWL ontology is an RDF graph, which is in turn a set of RDF triples. OWL includes three specific sub-languages, characterized by an increasing level of complexity and expressiveness, OWL Lite, OWL DL – DL(s) stands for Description Logics, a particular, logic-oriented, knowledge representation language introduced to supply a formal foundation for frame-based systems – and OWL Full.
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