Search Results for "RDF"

The OWL is a set of markup languages which are intended for utilization by applications that require processing the data as an alternative of just existing details to humans. Ontology Web language explain the hierarchical association of thoughts in a domain, through this method it can be parsed and implicit by application. OWL has extra services for articulating meaning and semantics than XML, RDF, and RDF-S, and therefore OWL goes outside such languages in its ability to stand for machine interpretable content on the Web. It is part of the

A markup language named Web Ontology Language (OWL) used to publish and share data with ontology’s on internet. It’s a language expansion of resources description framework and resultant from DAML including Oil. Jointly with resources description framework and additional parts, these tools structure the Semantic net project. OWL symbolizes the senses of types in vocabularies or language and the relations among those conditions in a way that is appropriate for dispensation by software. OWL conditions are retained by the World Wide

Ever since the word was used, Semantic Web we wondered what it all entailed why it came about and what purpose could it have. The term is simple enough to integrate people, data, software, publications, and clinical trials. Therefore, this means majority of the common use of a Semantic Web Life Science is used by Clinical research development and studies. In addition, is under the needful watch of the W3C (World Wide Web Consortium) to come up with a program software that is adaptable for all areas of the Life Science divisions. >> Read the full

An ontology defines the terms used to describe and represent an area of knowledge. Ontologies are critical for applications that need to search across or merge information from diverse communities. Although XML DTDs and XML Schemas are sufficient for exchanging data between parties who have agreed to the definitions beforehand, their lack of semantics prevents machines from reliably performing this task with new XML vocabularies. The Semantic Web is a vision for the future of the Web in which information is given explicit meaning, making it easier

The Ontology Web Language (OWL) is a set of markup languages which are designed for use by applications that need to process the content of information instead of just presenting information to humans. OWL ontologies describe the hierarchical organization of ideas in a domain, in a way that can be parsed and understood by software. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S, and thus OWL goes beyond these languages in its ability to represent machine interpretable content on the Web. OWL is part of the W3C

Uche Ogbuji wrote a good article on XML.com here is a summary: "I’m still getting my Weblogger profile here updated, but this year I transitioned from one company I co-founded to another. Zepheira provides data architecture solutions, with a focus on semantic technology. I was early on the Semantic Web bandwagon, and I almost fell off at one point because I felt the useful, modest ideas at the core had been overrun by an academic brand of technological megalomania. This year I felt the timing was right to not only renew my interest in the technology,

Web Ontology Language (OWL) is a 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. OWL represents the meanings of terms in vocabularies and the relationships between those terms in a way that is suitable for processing by software. The OWL specification is maintained by the

If you've paid any attention to the web standards discussions, you may have heard the phrase "Semantic Web", or perhaps even been pressured to use standards with names like "Dublin Core Metadata" or "RDF". If you've attempted to read any of the available documentation on these topics, you were probably intimidated by terms such as "reify" and all sorts of artificial intelligence concepts. This document attempts to explain what all of this chatter really means, and help you decide which parts you should care about and why. I have tried to use

An ontology defines the terms used to describe and represent an area of knowledge. Ontologies are critical for applications that need to search across or merge information from diverse communities. Although XML DTDs and XML Schemas are sufficient for exchanging data between parties who have agreed to the definitions beforehand, their lack of semantics prevents machines from reliably performing this task with new XML vocabularies. The Semantic Web is a vision for the future of the Web in which information is given explicit meaning, making it easier

The Ontology Web Language (OWL) is a set of markup languages which are designed for use by applications that need to process the content of information instead of just presenting information to humans. OWL ontologies describe the hierarchical organization of ideas in a domain, in a way that can be parsed and understood by software. OWL has more facilities for expressing meaning and semantics than XML, RDF, and RDF-S, and thus OWL goes beyond these languages in its ability to represent machine interpretable content on the Web. OWL is part of the W3C

The Web Ontology Language (OWL) is a language for defining and instantiating Web ontologies.[1] An OWL ontology may include descriptions of classes, along with their related properties and instances. OWL is designed for use by applications that need to process the content of information instead of just presenting information to humans. It facilitates greater machine interpretability of Web content than that supported by XML, RDF, and RDF Schema (RDF-S) by providing additional vocabulary along with a formal semantics. OWL is based on earlier languages

The Web Ontology Language (OWL) is a language for defining and instantiating Web ontologies.[1] An OWL ontology may include descriptions of classes, along with their related properties and instances. OWL is designed for use by applications that need to process the content of information instead of just presenting information to humans. It facilitates greater machine interpretability of Web content than that supported by XML, RDF, and RDF Schema (RDF-S) by providing additional vocabulary along with a formal semantics. OWL is based on earlier languages

Features of RDF In general, RDF provides the basis for generic tools for authoring, manipulating, and searching machine understandable data on the Web thereby promoting the transformation of the Web into a machine-processable repository of information. RDF provides the following features: - interoperability of metadata - machine understandable semantics for metadata - better precision in resource discovery than full text search - future-proofing applications as schemas evolve Further development will enable RDF to also provide: - a uniform

Introduction The Resource Description Framework (RDF) - developed by the World-Wide Web Consortium (W3C) - provides the foundation for metadata interoperability across different resource description communities. One of the major obstacles facing the resource description community is the multiplicity of incompatible standards for metadata syntax and schema definition languages. This has lead to the lack of, and low deployment of, cross-discipline applications and services for the resource description communities. RDF provides a solution to these

With more and more Metadata standards or schemas used in various projects, the need of encoding, searching, and exchanging different Metadata sets in one interface becomes much more important. The Resource Description Framework (RDF) is being developed by the World Wide Web Consortium (W3C) to provide an infrastructure for the interoperability of Metadata in a wide range of applications. Every Metadata must define the syntax, semantics, and structure of its elements for its applications. Using XML (eXtensible Markup Language) as its common syntax,

RDF is a general model and representing a piece of information in RDF/XML can be done in many lexical/syntactic/structural/ontological ways. Unfortunately, these different representations often cannot be automatically compared with each other and therefore retrieved, merged or reused. We cannot expect the metadata providers to follow the same schemas and this would not be prevent incomparable syntactic/structural variations. Metadata providers (including schema creators) need to follow conventions. Here are some propositions. 1. Some Lexical

The Resource Description Framework otherwise shortly called the RDF is a framework or an infrastructure that is used for exchange of metadata. This framework is also used for encoding and reusing the structured metadata. Resource Description Framework uses XML for imposing the restrictions to enable to follow a structured representation of data so that the data can be exchanged, encoded and reused. One of the original aims for the world wide web was that as well as humans being able to read and understand the content, so could machines. As it is the

Resource Description Framework (RDF) is a model for describing collections of formalized statements about a Web resource. You can also think of RDF as a metadata system for the Web. Learn about this standard and about its relationship with the Semantic Web, Web Ontology Language (OWL), and more. For almost as long as the World Wide Web Consortium (W3C) has worked toward next-generation markup technology in the form of XML, it has also worked toward next-generation technology for formal description of Web resources. Resource Description Framework