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2002, Data & Knowledge Engineering
Currently computers are changing from single isolated devices into entry points to a worldwide network of information exchange and business transactions called the World Wide Web (WWW). For this reason, support in data, information, and knowledge exchange has become a key issue in current computer technology. The WWW has drastically changed the availability of electronically available information. However, this success and exponential growth has made it increasingly difficult to find, access, present, and maintain the information required by a wide variety of users. In response to this problem, many new research initiatives and commercial enterprises have been set up to enrich available information with machine processable semantics. Such support is essential for "bringing the web to its full potential". This semantic web will provide intelligent access to heterogeneous and distributed information, enabling software products (agents) to mediate between user needs and the information sources available. This paper summarizes ongoing research in the area of the semantic web especially focussing on ontology technology.
2011
Currently, computers are changing from single, isolated devices into entry points to a worldwide network of information exchange and business transactions called the World Wide Web (WWW). However, the success of the WWW has made it increasingly difficult to find, access, present and maintain the information required by a wide variety of users. In response to this problem, many new research initiatives and commercial enterprises have been set up to enrich the available information with machineprocess able semantics. This Semantic Web will provide intelligent access to heterogeneous, distributed information, enabling software products (agents) to mediate between user needs and the information sources available. In this paper we describe some areas for application of this new technology. We focus on on-going work in the fields of knowledge management and electronic commerce. We also take a perspective on the semantic web-enabled web services which will help to bring the semantic web to its full potential.
The web was designed as an information storage space, with the goal that it should be useful not only for human-human communication, but also that machine would be able to participate and help. The major obstacle to this has been the fact that most information on the web is designed for human consumption, and even if it was derived from a database, the structure of the data is not evident to a robot browsing the web. Leaving aside the problem of artificial intelligence of training machine to behave like people, the Semantic Web approach instead develops languages for expressing information in a machine readable form. This paper gives a road map of technology from the Web of today to a Web in which machine reasoning will be ubiquitous and powerful.
The term " Semantic Web " is often used more specifically to refer to the formats and technologies that enable it. These technologies include the Resource Description Framework (RDF), a variety of data substitution formats, and notations such as RDF Schema and the Web Ontology Language, all of which are intended to provide a formal description of concepts, terms, and relationships within a given knowledge domain. In the last decade the increasing popularity of the World Wide Web has lead to an exponential growth in the number of pages available on the Web. This huge number of Web pages makes it increasingly difficult for users to send required information. To enable machines to support the user in solving information problems, the Semantic Web proposes an extension to the existing Web that makes the semantics of the Web pages machine process able. The Semantic Web is well recognized as an effective infrastructure to enhance visibility of knowledge on the Web. The foundation of the Semantic Web is ontology , which is used to unambiguously represent our conceptualizations. Ontology engineering in the Semantic Web is primarily supported by languages such as RDF, RDFS and OWL. This article discusses the requirements of ontology's in the context of the Web, compares the above three languages with existing knowledge representation formalisms, and surveys tools for managing and applying ontology's.
Semantics is seen as the key ingredient in the next phase of the Web infrastructure as well as the next generation of information systems applications. In this context, we review some of the reservations expressed about the viability of the Semantic Web. We respond to these by identifying a Semantic Technology that supports the key capabilities also needed to realize the Semantic Web vision, namely representing, acquiring and utilizing knowledge.
IEEE Intelligent Systems, 2007
2006
The Web grew in five years from a development project to a global business. In contrast the semantic Web has spent ten years developing from a plan to introduce metadata to the Web to a suite of technologies that are used in niche markets, but are far from the global commodity business of the Web. There remain fundamental problems in implementing the vision of a semantic Web, which require both original technical research and considerable consensus building to reach agreed solutions. Many of the successes of the semantic Web are in small technologies such as RSS, Dublin Core and FOAF, while the main thrust of research is in big technologies such as ontological modeling and inference engines. The links between the small and large, as well as an understanding of the resulting benefits are required to move the semantic Web into the mainstream Web.
2002
The Semantic Web has attracted a diverse, but significant, community of researchers, institutes and companies, all sharing the belief that one day the Semantic Web will have as big an impact on life as currently the WWW/Internet has. We share that vision, based on the ever-increasing need to reduce information overload, and to increase task delegation to software agents. However, there is still a long way to go before the Semantic Web dream comes true. In this paper, we identify some of the major challenges the community faces in the coming years, and we outline solution directions. The major challenges concern: (i) the availability of content, (ii) ontology availability, development and evolution, (iii) scalability, (iv) multilinguality, (v) visualization to reduce information overload, and (vi) stability of Semantic Web languages. We will also say some words on the economic impact of the Semantic Web. 13 Non-existing acronym for Semantic Web Markup Language. 14 See www.getsee.com for the aggregator in ASP mode.
IEEE Intelligent Systems, 2008
AAAI Workshop, Edmonton AB, 2002
The goal of semantic web research is to allow the vast range of web-accessible information and services to be more effectively exploited by both humans and automated tools. To facilitate this process, RDF and OWL have been developed as standard formats for the sharing and integration of data and knowledge-the latter in the form of rich conceptual schemas called ontologies. These languages, and the tools developed to support them, have rapidly become de facto standards for ontology development and deployment; they are increasingly used, not only in research labs, but in large scale IT projects. Although many research and development challenges still remain, these "semantic web technologies" are already starting to exert a major influence on the development of information technology.
2011
The present generation of computers is changing from single isolated devices to entry points into a worldwide network of information exchange. Therefore, support in the exchange of data, information, and knowledge is becoming the key issue in computer technology today. The increasing volume of data available on the Web makes information retrieval a tedious and difficult task. Researchers are now exploring the possibility of creating a semantic Web, in which meaning is made explicit, allowing machines to process and integrate Web resources intelligently. The vision of the semantic Web introduces the next generation of the Web by establishing a layer of machine-understandable data. The success of the semantic Web crucially depends on the easy creation, integration and use of semantic data, which will depend on building an ontology. This paper states the role of ontology in supporting information exchange process, particulary with semantic Web.
Lecture Notes in Computer Science, 2006
Semantic Web technology is being increasingly applied in a large spectrum of applications in which domain knowledge is conceptualized and formalized (e.g., by means of an ontology) in order to support diversified and automated knowledge processing (e.g., reasoning) performed by a machine. Moreover, through an optimal combination of (cognitive) human reasoning and (automated) machine reasoning and processing, it is possible for humans and machines to share complementary tasks. The spectrum of applications is extremely large and to name a few: corporate portals and knowledge management, e-commerce, e-work, e-business, healthcare, e-government, natural language understanding and automated translation, information search, data and services integration, social networks and collaborative filtering, knowledge mining, business intelligence and so on. From a social and economic perspective, this emerging technology should contribute to growth in economic wealth, but it must also show clear cut value for everyday activities through technological transparency and efficiency. The penetration of Semantic Web technology in industry and in services is progressing slowly but accelerating as new success stories are reported. In this paper and lecture we present ongoing work in the cross-fertilization between industry and academia. In particular, we present a collection of application fields and use cases from enterprises which are interested in the promises of Semantic Web technology. The use cases are detailed and focused on the key knowledge processing components that will unlock the deployment of the technology in the selected application field. The paper ends with the presentation of the current technology roadmap designed by a team of Academic and Industry researchers.
… Review on Computers and Software (I …, 2007
The semantic web is an extension of the current web in which information is given well-defined meaning. It is a concept that enables better machine processing of information on the web, by structuring documents written for the web in such a way that they become understandable by computers. This can be used for creating complex applications such as intelligent browsers, intelligent software agents, global databases with data from the web, reuse of information, etc. Central to the vision of the semantic web are ontologies. Ontologies provide a shared understanding of a domain of interest to support communication among human and software agents, typically being represented in a machine-processable representation language. Web ontology languages like OWL provide a technological basis to enable the semantic web. This paper considers the basic principles of the semantic web, and reviews important tools for creating and maintaining ontologies in various frameworks.
2nd Int. Scientific Conf. on Computer Science, 2005
This paper introduces the vision behind the Semantic Web by using illustrative examples of how interaction with the future Web will be through the use of intelligent personal agents. Furthermore, the paper overviews the current Semantic Web technologies that will carry out this vision. Finally, the paper briefly presents the research on Semantic Web carried out at the Department of Informatics of the Aristotle University of Thessaloniki.
E-Reference Context and Discoverability in Libraries
The Semantic Web provides a common structure that allows data to be shared and reused across a variety of applications. The history and terminology of the Semantic Web, examples of STM achievements with semantics, an examination of semantic technology companies, and future possibilities for reference publishers are discussed and examined in this chapter. Cooperation between publishers will be imperative if we are to fully benefit from the advantages of the semantic technology.
2007
ABSTRACT This chapter gives an overview of the evolution of the Web. Initially, Web pages were intended only for human consumption and were usually displayed on a Web browser. New Internet business models, such as B2B and B2C, required organizations to search for solutions to enable a deep interoperability and integration between their systems and applications.
2009
The Semantic Web vision has drove hundreds of practitioners to research and develop a new bread of applications that could take the full potential of the Web to the next level. While there is a fairly clear understanding of where Web 1.0 and Web 2.0 stand now a day, the current status and position of the Semantic Web, also known as Web 3.0, is not as clear and well defined. Therefore, in this paper we present a landscape that illustrates and captures the trends in the Semantic Web with the purpose of guiding future developments.
AL-Rafidain Journal of Computer Sciences and Mathematics, 2013
Semantic Web is an extension to the current web. It will convert the way we use World Wide Web (WWW) by giving the machine the capability to process and infer data in web. It starts as a vision and becomes a future trend in web. Due to the huge data that is scattered as web pages in web today, adding semantic meaning to data stored in these pages became necessary for the next age of information technology. The Semantic Web will bring structure to the meaningful content of Web pages, creating an environment where software agents roaming from page to page can readily carry out sophisticated tasks for users. Several tools and new technologies have been emerged to help bring this vision to reality. In this paper, Semantic Web is defined and described with its layering architecture and supporting technologies and tools. An example is given to show how to use these tools to semantically representing data model. At last, challenges and difficulties faced building this web and made it an extension to the current web has been discussed.
Pertinence, 2014
The Internet has known a very fast evolution, going from the Web 1.0, i.e., the traditional Web where users are merely consumers of static information, to the more dynamic Web 2.0, known as the Social or Collaborative Web, where users produce and consume information simultaneously, and heading toward the more sophisticated and eagerly anticipated Web 3.0, better known as the Semantic Web: extending the Web by giving information well defined meaning so that it becomes more easily accessible by human users and automated processes. This paper briefly describes the evolution of the Web towards the Semantic Web (3.0), providing an overview of the various technological breakthroughs contributing to this evolution, covering: knowledge bases and semantic data description, as well as XML-based data representation and manipulation technologies (i.e., RDF, RDFS, OWL, and SPARQL). We also present the main application domains characterizing the Semantic Web, ranging over information retrieval, information extraction, machine translation, content analysis, and lexicography, and discuss some emergent and future directions aiming at improving Web data accessibility and performance.
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