Search results for "Semantic web."

showing 10 items of 129 documents

Ontology-based Semantic Web Service platform in Mobile Environments

2006

The number of mobile terminals is continuously increasing in the world, although in many developed countries the market has saturated. Thus, the market can only grow if new service types are offered to the mobile terminals. One emerging technology that might make this possible is semantic web services. At the core of this technology are ontologies that are necessary for automatic discovery and composition of the services. In this paper we discuss how mobility affects the architectural considerations of semantic web service platform and particularly ontology management. We rely on reference architecture for Semantic Web Services in our work.

Web standardsbusiness.industryComputer sciencecomputer.internet_protocolcomputer.software_genreSocial Semantic WebOWL-SWorld Wide WebSemantic analyticsSemantic Web StackWeb servicebusinesscomputerSemantic WebData Web7th International Conference on Mobile Data Management (MDM'06)
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Semantic Multi-agent Architecture to Road Traffic Information Retrieval on the Web of Data

2013

In this paper, we describe a system based on FIPA standards to help the process of advertisement, discovery, invocation and reuse of traffic information on the web of data. The use of semantic web services (SWS) can be exploited to improve the outcomes in the discovery process, allowing end users to specify their need using concepts not keywords. Most of the traffic information is generally recovered by end users through web forms that specify their requirements, and must refill each time the same parameters to obtain the updated value from the web sites. Using agents besides Service Oriented Architecture (SOA), we will achieve interoperability between systems and also automatize the proces…

Web standardsmedicine.medical_specialtyInformation retrievalComputer sciencebusiness.industrycomputer.software_genreSocial Semantic WebWorld Wide WebmedicineSemantic Web StackWeb servicebusinessWS-PolicyWeb modelingcomputerSemantic WebData Web
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Natural Language Processing Agents and Document Clustering in Knowledge Management

2008

While HTML provides the Web with a standard format for information presentation, XML has been made a standard for information structuring on the Web. The mission of the Semantic Web now is to provide meaning to the Web. Apart from building on the existing Web technologies, we need other tools from other areas of science to do that. This chapter shows how natural language processing methods and technologies, together with ontologies and a neural algorithm, can be used to help in the task of adding meaning to the Web, thus making the Web a better platform for knowledge management in general.

Web standardsmedicine.medical_specialtyInformation retrievalKnowledge managementWeb developmentbusiness.industryComputer sciencecomputer.software_genreSocial Semantic WebWorld Wide WebmedicineArtificial intelligenceSemantic Web StackWeb servicebusinessWeb modelingcomputerSemantic WebData WebNatural language processing
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Semantic Web Enabled Web Services: State-of-Art and Industrial Challenges

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 …

Web standardsmedicine.medical_specialtyWeb 2.0Web developmentComputer scienceService discoveryWeb engineeringReusecomputer.software_genreSocial Semantic WebWorld Wide WebWeb designSemantic analyticsmedicineWeb navigationSemantic Web StackRDFSemantic WebData Webbusiness.industrycomputer.file_formatWeb application securityOntologyThe InternetWeb mappingWeb servicebusinessWeb intelligenceWS-PolicycomputerWeb modelingInformation integration
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Semantic Web Services for Smart Devices in a “Global Understanding Environment”

2003

Various Web resources and services are usually assumed to be used and accessed by human users (current Web) or by software agents on behalf of human users (emerging Semantic Web). However industry emerges also a new group of “users”, which are smart industrial devices, robots or any other objects, which can be adapted to the (Semantic) Web environment. They would need special services for e.g. online condition monitoring, information provisioning, remote diagnostics, maintenance support, etc. The goal of this paper is to specify main requirements to Web services that automatically follow up and predict the performance and maintenance needs of field devices. Semantic Web enabled services for…

Web standardsmedicine.medical_specialtyWeb developmentWeb 2.0Service delivery frameworkComputer scienceSmart deviceService discoveryMobile computingcomputer.software_genreSocial Semantic Weblaw.inventionDevices Profile for Web ServicesWorld Wide WeblawmedicineSemantic Web StackSemantic WebData WebMultimediabusiness.industryService designProvisioningDifferentiated serviceMobile agentThe InternetWeb serviceWeb resourcebusinessWS-PolicyWeb modelingcomputerMobile service
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Emergent Web Intelligence: Advanced Semantic Technologies

2010

The future of the World Wide Web depended on its ability to understand and automatically process content to enable computers and people to work in cooperation. New advanced techniques and intelligent approaches are required more than ever to transform the Web into a universal reasoning and semantic-driven computing machine. The Web intelligence discipline attempts to deal with this challenge by exploits information technologies and artificial intelligence approaches to design next generation of web-empowered systems and services. The Emergent Web Intelligence: Advanced Semantic Technologies" book provides valuable references and cuttingedge technologies for: undergraduate and postgraduate s…

Web standardsmedicine.medical_specialtyWeb developmentbusiness.industryComputer scienceData scienceSocial Semantic WebWorld Wide WebWeb designmedicineSemantic Web StackWeb intelligencebusinessWeb modelingSemantic Web
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Ontosmartresource: an industrial resource generation in semantic web

2005

Semantic Web is a logical evolution of the existing Web. It was meant to serve for machines as today's Web does for humans. The term "machines" according to the existing semantic Web's vocabulary mostly means "computers". However industry needs such applications, which consider machines also as embedded computational entities within field devices, personal devices, microwave ovens, etc. In other words, now we should involve the real (industrial) world objects as resources into semantic Web. Still the main object of such a world will be a human, which becoming a resource (not just a user of resources) in the distributed environment. In this paper we introduce an extension of the semantic Web…

Web standardsmedicine.medical_specialtybusiness.industryComputer scienceSocial Semantic WebWorld Wide WebSemantic gridmedicineSemantic analyticsSemantic Web StackbusinessSemantic WebWeb modelingData Web2nd IEEE International Conference on Industrial Informatics, 2004. INDIN '04. 2004
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Proactively Composing Web Services as Tasks by Semantic Web Agents

2011

This chapter presents the framework for agent-enabled dynamic composition of Semantic Web services. The approach and the framework have been developed in several research and development projects by ISRG and IOG. The core of the methodology is the new understanding of a Semantic Web service as a capability of an intelligent software agent supplied with the proper ontological description. It is demonstrated how diverse Web services may be composed and mediated by dynamic coalitions of software agents collaboratively performing tasks for service requestors. Middle agent layer is introduced to conduct the transformation of a Web service request to the corresponding task, agent-enabled cooperat…

Web standardsmedicine.medical_specialtybusiness.industryComputer sciencecomputer.software_genreSocial Semantic WebWorld Wide WebmedicineSemantic Web StackWeb servicebusinessWS-PolicycomputerSemantic WebWeb modelingData Web
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Similarity Mashups for Recommendation

2013

Recommendation systems are becoming a state of the art for web-based systems as they produce additional product exposure and customer satisfaction. The Semantic Web and mashups can improve recommendation systems and provide new ways for their creation. In the web it is possible to analyze product descriptions and to use Linked Data for characterizing the similarity of objects or of objects and user interests. In this chapter, we give a brief overview of existing technical approaches and tools for creating recommendation systems that can be used to create mashups as recommendation systems.

World Wide WebApplication programming interfaceComputer scienceCustomer satisfactionMashupcomputer.file_formatLinked dataRDFRecommender systemcomputer.software_genreVideo gameSemantic Webcomputer
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Secure Collaborative Learning Practices and Mobile Technology

2008

During the past few years, mobile technologies have become common in everyday life. Almost everyone carry some kind of mobile technological equipment with him or her, for example a personal digital assistant (PDA), a mobile phone, a multimedia player, such as an iPod, or a laptop computer. The use of these equipments is not limited only to workplaces, schools or homes. Particularly useful information and communication technologies (ICTs) are in educational settings. Especially wireless networks and laptop computers may promote many useful practices of collaborative learning (Cutshall, Changchit, & Elwood, 2006; Jones, Holmfeld, & Lindström, 2006). On the one hand, the use of mobile …

World Wide WebIntelligent agentComputer-supported collaborative learningComputer scienceMobile technologyCollaborative learningOntology (information science)Web servicecomputer.software_genrecomputerSemantic WebPersonalization
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