Next Generation Semantic Web and Its Application

Data & Knowledge Engineering, 2002

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.

Computers in Industry, 2010

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.

To draw its inventor, Tim Berners-Lee, until recently, the Semantic Web, was little more than the name of the web infrastructure of the next generation. And new developments, such as DAML + OIL and RDF Schema, such as the introduction of XML and RDF, the Semantic Web is taking shape quickly. We will, as a result, not only the technology advance individual research of Semantic Web is to integrate them and take advantage of the results. The implementation of the Semantic Web and ontology technology in this paper, I will describe the use of the future of the Semantic Web. In this post I will describe some areas for the application of this new technology. I focus on work in the field of ecommerce and knowledge management. I also take the point of view of Web services-enabled Semantic Web helps to bring the Semantic Web to its full potential.

… Technology, Ontologies, and …, 2006

Abstract. Although the Internet provides a world wide infrastructure for information provision and communication, the initial web technology stack has substantial draw-backs with regard to automated web content processing. Consequently, the Semantic Web is envisioned as the next ...

IFIP — The International Federation for Information Processing, 2005

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 knowledge processing (e.g., reasoning) by machine. Moreover, through the subtle joining of (cognitive) human reasoning and (logical) machine reasoning, it is possible for humans and machines to share complementary tasks. Some examples of application areas where these tasks arise are: corporate portals and knowledge management, e-commerce, e-work, healthcare, e-government, natural language understanding and automated translation, information search, data and services integration, social networks and collaborative filtering, knowledge mining, 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 uptake of Semantic Web technology by industry is progressing slowly. One of the problems is that academia is not always aware of the concrete problems that arise in industry. In contrast, industry is not often well informed about the academic developments that can potentially meet its needs. In this paper we present ongoing work in the cross-fertilization between industry and academy. In particular, we present a collection of application fields and use cases from enterprises which are interested in the promises of Semantic Web technology. We explain our approach by analyzing the industry needs in different application areas. We summarize industrial requirements with respect to Semantic Web technology in the form of a typology of knowledge processing tasks. These results are intended to focus academia on the development of plausible knowledge-based solutions for concrete industrial problems, and therefore, facilitate the industrial uptake of Semantic Web 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.

Lecture Notes in Computer Science, 2003

Semantic Web technology has a vision to define and link Web data in a way that it can be understood and used by machines for automation, integration and reuse of data across various applications. Ontological definition of every resource as it is assumed in Semantic Web, along with new techniques for semantics processing and new vision Intelligent Web Services is expected to bring Web on its new level. At present, Web Services technology is stressed by the search of a right way for further development. Combination of Semantic Web and Web Services concepts may address many of difficulties of existing technology. It is not a question of whether Semantic Web is coming or not, but a question of when it will come. However without mature standards, proof and actually working industrial cases Semantic Web has small chances to be adopted by industry. In this paper a survey of Web Services recent needs is made, state of the art of Semantic Web technology is discussed in the context of EAI and e-business solutions. Some new challenges brought by Semantic Web were observed and the industrial maintenance case of these challenges implementation was considered.

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.

2008

Arevolution is underway in computing, and if you believe pundits such as Vint Cerf, “father of the Internet, ” it won’t be long before your bathroom scale surreptitiously transmits your weight to your doctor, who might command a stop to the rocky road ice cream your fridge automatically orders for you from www.groceries. com. 1 While many of us have heard such amusing tales, ice cream lovers can relax for a little while. Pervasive networked devices and programs that can seamlessly interoperate are still a ways off. Realizing this vision requires a computing infrastructure that supports communication and interoperation between diverse, distributed computer programs and devices. Furthermore, to achieve this seamlessly, those programs and devices must know each others’ capabilities and communicate requests and responses unambiguously. Enter Web services and the Semantic Web. Web services are “self-contained, modular applications that can be described, published, located, and invoked ov...