Understanding Semantic Web Applications

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.

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.

i-semantics.at

This article analyses the maturity and applicability of Semantic Web (SW) technologies, providing the cross comparison of the key SW technology segments and the key application areas. Based on the analysis of the W3C collection of Case Studies and Use Cases, the benefits of using semantic technologies are identified. As a result of comprehensive survey of SW tools and technologies and extensive study of the SW scientific literature we extrapolate the trends in SW research and development. The overall analysis has shown that SW technologies are finding their ways to real-world applications, and that, rather than being another fashionable research issue, the Semantic Web is becoming our reality.

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.

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.

This research is mainly about to discuss World Wide Web leading to the need of the proposition of a new concept i.e. Semantic Web. Concerning Semantic Web, the conducted research provides information for the implementation of semantic based web applications by providing the concept of structuring of data over the web to take advantage in extracting semantic based information. Going into the details, this paper presents Ontology as the main building block of Semantic Web of present time, its supporting technologies i.e. XML, RDF and OWL, and some existing limitations with respect to its use in real time web application development. Furthermore, before concluding the discussion some Semantic Web based applications are presented which are developed with the use of Ontology and providing lots of values in the implementation of semantic based applications by providing structured data over the web to take advantage in implementing efficient web based information retrieval search mechanisms.

Synthesis Lectures on the Semantic Web: Theory and Technology, 2019

Whether you call it the Semantic Web, Linked Data, or Web 3.0, a new generation of Web technologies is offering major advances in the evolution of the World Wide Web. As the first generation of this technology transitions out of the laboratory, new research is exploring how the growing Web of Data will change our world. While topics such as ontology-building and logics remain vital, new areas such as the use of semantics in Web search, the linking and use of open data on the Web, and future applications that will be supported by these technologies are becoming important research areas in their own right. Whether they be scientists, engineers or practitioners, Web users increasingly need to understand not just the new technologies of the Semantic Web, but to understand the principles by which those technologies work, and the best practices for assembling systems that integrate the different languages, resources, and functionalities that will be important in keeping the Web the rapidly expanding, and constantly changing, information space that has changed our lives. Topics to be included: • Semantic Web Principles from linked-data to ontology design • Key Semantic Web technologies and algorithms • Semantic Search and language technologies • The Emerging "Web of Data" and its use in industry, government and university applications • Trust, Social networking and collaboration technologies for the Semantic Web • The economics of Semantic Web application adoption and use iv • Publishing and Science on the Semantic Web • Semantic Web in health care and life sciences Ontology Engineering

2008

The Semantic Web aims to explicate the meaning of Web content by adding semantic annotations that describe the content and function of resources. Providing shareable annotations requires the use of ontologies that describe a common model of a domain. The Web Ontology Language OWL has been defined in order to support representation of ontologies, and their manipulation through the use of reasoning.

Computers in Industry, 2010

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.