Semantic Web

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The Semantic Web is a "web of data" that facilitates machines to understand the semantics, or meaning, of information on the World Wide Web. (Wikipedia.org)






Conferences related to Semantic Web

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2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)

The conference will provide a forum for discussions and presentations of advancements inknowledge, new methods and technologies relevant to industrial electronics, along with their applications and future developments.


2019 IEEE International Conference on Industrial Technology (ICIT)

The scope of the conference will cover, but will not be limited to, the following topics: Robotics; Mechatronics; Industrial Automation; Autonomous Systems; Sensing and artificial perception, Actuators and Micro-nanotechnology; Signal/Image Processing and Computational Intelligence; Control Systems; Electronic System on Chip and Embedded Control; Electric Transportation; Power Electronics; Electric Machines and Drives; Renewable Energy and Smart Grid; Data and Software Engineering, Communication; Networking and Industrial Informatics.


2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019) will be held in the south of Europe in Bari, one of the most beautiful and historical cities in Italy. The Bari region’s nickname is “Little California” for its nice weather and Bari's cuisine is one of Italian most traditional , based of local seafood and olive oil. SMC2019 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report up-to-the-minute innovations and developments, summarize state­of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems and cybernetics. Advances have importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience, and thereby improve quality of life.


2019 IEEE International Professional Communication Conference (ProComm)

The scope of the conference includes the study, development, improvement, and promotion ofeffective techniques for preparing, organizing, processing, editing, collecting, conserving,teaching, and disseminating any form of technical information by and to individuals and groupsby any method of communication. It also includes technical, scientific, industrial, and otheractivities that contribute to the techniques and products used in this field.


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Periodicals related to Semantic Web

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Fuzzy Systems, IEEE Transactions on

Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


Industrial Informatics, IEEE Transactions on

IEEE Transactions on Industrial Informatics focuses on knowledge-based factory automation as a means to enhance industrial fabrication and manufacturing processes. This embraces a collection of techniques that use information analysis, manipulation, and distribution to achieve higher efficiency, effectiveness, reliability, and/or security within the industrial environment. The scope of the Transaction includes reporting, defining, providing a forum for discourse, and informing ...


Information Technology in Biomedicine, IEEE Transactions on

Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.


Intelligent Systems, IEEE

IEEE Intelligent Systems, a bimonthly publication of the IEEE Computer Society, provides peer-reviewed, cutting-edge articles on the theory and applications of systems that perceive, reason, learn, and act intelligently. The editorial staff collaborates with authors to produce technically accurate, timely, useful, and readable articles as part of a consistent and consistently valuable editorial product. The magazine serves software engineers, systems ...


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Most published Xplore authors for Semantic Web

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Xplore Articles related to Semantic Web

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Semantic Web and semantic Web services: father and son or indivisible twins?

IEEE Internet Computing, 2006

The semantic Web is, without a doubt, gaining momentum in both industry and academia. The recent International Semantic Web Conference (ISWC) attracted more than 500 researchers; major vendors including IBM, Oracle, and Software AG have released or announced products; and the forthcoming Semantic Technology Conference in San Jose, California, is poised to be an impressive showcase for executives and venture ...


Rule-based intelligence in the Semantic Web-or-"I'll settle for a web that's just not so dumb!"

2006 Second International Conference on Rules and Rule Markup Languages for the Semantic Web (RuleML'06), 2006

One could fairly say that the role of rules in the semantic Web has been controversial; in the few short years since the first publication of the semantic Web stack, Rules have sometimes been given a central role, at other times a peripheral role, and sometimes left out completely. Why such variation for an technology with thirty years of background? ...


A Relation-Based Page Rank Algorithm for Semantic Web Search Engines

IEEE Transactions on Knowledge and Data Engineering, 2009

With the tremendous growth of information available to end users through the Web, search engines come to play ever a more critical role. Nevertheless, because of their general-purpose approach, it is always less uncommon that obtained result sets provide a burden of useless pages. The next-generation Web architecture, represented by the Semantic Web, provides the layered architecture possibly allowing overcoming ...


Using Semantic Web Technologies in a Web Based System for Personalized Learning AI Course

2014 IEEE Sixth International Conference on Technology for Education, 2014

Utilization of semantic web technologies in educational systems is rapidly expanded, bringing new and more efficient teaching and learning capabilities. Semantic Web Based Educational Systems (SWBEs) rely on semantic web technologies and are proved to be more intelligent and personalized to the students learning needs. In this paper, we present a semantic web based adaptive educational system that is developed ...


Semantic Web Service Similarity Ranking Proposal Based on Semantic Space Vector Model

2012 Second International Conference on Intelligent System Design and Engineering Application, 2012

With the Semantic Web services technology research work continued to deepen, the number of semantic Web services on the Internet has dramatically increased how to locate available semantic Web services quickly and easily has become an urgent and key issue. Among semantic Web service matchmaking technology study, one of the important research themes is the semantic Web service matchmaking result ...


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Educational Resources on Semantic Web

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IEEE-USA E-Books

  • Semantic Web and semantic Web services: father and son or indivisible twins?

    The semantic Web is, without a doubt, gaining momentum in both industry and academia. The recent International Semantic Web Conference (ISWC) attracted more than 500 researchers; major vendors including IBM, Oracle, and Software AG have released or announced products; and the forthcoming Semantic Technology Conference in San Jose, California, is poised to be an impressive showcase for executives and venture capitalists on the business potential of semantic technologies. Unfortunately, semantic Web services are underrepresented on the agenda, at least if we take the number of scientific publications about semantic Web services as a proxy. Most semantic Web researchers dedicate their attention to annotating Web content stored in static documents or database-driven applications. Semantic Web services (SWS) frameworks are mandatory components of the semantic Web, primarily because entities are more willing to expose functionality than data in business settings.

  • Rule-based intelligence in the Semantic Web-or-"I'll settle for a web that's just not so dumb!"

    One could fairly say that the role of rules in the semantic Web has been controversial; in the few short years since the first publication of the semantic Web stack, Rules have sometimes been given a central role, at other times a peripheral role, and sometimes left out completely. Why such variation for an technology with thirty years of background? The reason for these differences of opinion stem from different goals for the inclusion of rules in the Semantic Web stack. At one extreme are the Description Logicians who see no need for a general-purpose programming language in the semantic Web stack. At the other extreme are those who want to build a Web infrastructure with the capacity for emergent intelligence. Our experience with deploying semantic Web solutions using OWL alongside rules suggests a moderate middle path; we don ft need or even want our Web infrastructure to exhibit intelligence; that's what our applications are for. We just need a consistent and coherent Web of information to work from. Simply put, we just want our Web infrastructure not to be so dumb. Armed with this understanding, we can see the role of rules in the Semantic Web in a different light, and see a clear role of rules in the semantic Web stack

  • A Relation-Based Page Rank Algorithm for Semantic Web Search Engines

    With the tremendous growth of information available to end users through the Web, search engines come to play ever a more critical role. Nevertheless, because of their general-purpose approach, it is always less uncommon that obtained result sets provide a burden of useless pages. The next-generation Web architecture, represented by the Semantic Web, provides the layered architecture possibly allowing overcoming this limitation. Several search engines have been proposed, which allow increasing information retrieval accuracy by exploiting a key content of semantic Web resources, that is, relations. However, in order to rank results, most of the existing solutions need to work on the whole annotated knowledge base. In this paper, we propose a relation-based page rank algorithm to be used in conjunction with semantic Web search engines that simply relies on information that could be extracted from user queries and on annotated resources. Relevance is measured as the probability that a retrieved resource actually contains those relations whose existence was assumed by the user at the time of query definition.

  • Using Semantic Web Technologies in a Web Based System for Personalized Learning AI Course

    Utilization of semantic web technologies in educational systems is rapidly expanded, bringing new and more efficient teaching and learning capabilities. Semantic Web Based Educational Systems (SWBEs) rely on semantic web technologies and are proved to be more intelligent and personalized to the students learning needs. In this paper, we present a semantic web based adaptive educational system that is developed to assist the students in learning the challenging subjects of the Artificial Intelligence course. The system utilizes ontologies to represent the domain of the course's curriculum and the student model. Also, the Semantic Web Rule Language (SWRL) rules are used for making decisions on the learning activities to propose to the student according to his/her profile and knowledge level. The evaluation results indicate quite promising performance regarding the system's learning capabilities and functionality.

  • Semantic Web Service Similarity Ranking Proposal Based on Semantic Space Vector Model

    With the Semantic Web services technology research work continued to deepen, the number of semantic Web services on the Internet has dramatically increased how to locate available semantic Web services quickly and easily has become an urgent and key issue. Among semantic Web service matchmaking technology study, one of the important research themes is the semantic Web service matchmaking result ranking mechanism. In this paper, a novel semantic Web service ranking mechanism based on semantic space vector model is proposed. The calculation of semantic similarity measure can be realized by using this three dimensional semantic space vector model, therefore, the semantic Web Service matchmaking results can be ranked in accordance with the semantic similarity measure. The approach based on semantic space vector model will significantly improve search accuracy of semantic Web service matchmaking, and achieve high performance of the user experience of semantic Web services search.

  • Application of Semantic Web in e-Business and Telecommunication

    Semantic web has emerged as a web of next generation providing has various opportunities to enhance the over all performance of current web. The objective of this paper is to review the literature and to provide a critical evaluation of semantic application in the domains of e-business and telecommunications. Literature review reveals that a simple solution to the current e-business problem is solved by purposing a wrapper layer above the current state of the art technologies. We emphasize that telecommunication is one the strong area of research for semantic web implementation. Strength, Weakness, Opportunities and Threats (SWOT) analysis for using semantic technologies in telecom sector is found effective to make better decision, and business to business integration on the basis of intelligent semantic web services.

  • Framework for Distributed Semantic Web Crawler

    Relevant information retrieval from the www mainly depends on the technique and efficiency of a crawler. So crawlers must be capable enough to understand the text and context of a link which they are going to crawl. Anchor text contains a very useful information to know about the target web page. Because knowledge about the target web page content helps the crawlers to decide their preferences of crawling the particular page. In this paper we have presented a design of distributed semantic web crawler capable of crawling both HTML and semantic web pages written using owl/RDf. In our crawler a component called page analyser is used to understand the theme of content of page and context of anchor tag in the page. The output of the page analyser is used to make crawling decisions. Our approach have revealed the great improvement in extracting the information from the links and guide the crawler for more relevant domain specific crawling.

  • Research on Information Search Mechanism Based on Semantic Web Services

    In order to resolve the lack of semantic information of traditional keyword- based information search mechanism, this paper puts forward the information search model based on Semantic Web Services (ISMSWS) in distributed network environment, on the basis of the description on key technologies of Semantic Web and Web Services. Through analysis of each function of the model, it proposes the information search algorithm based on semantic similarity (ISASS), and provides the solution in order to implement integration and sharing on information resources of heterogeneous systems in this paper. Finally it illustrates the implementation of information search prototype system based on Semantic Web Services(IPSSWS), and makes performance analysis by simulated experiment in this paper. As a result, this paper provides a solution for achieving automatic and intelligent information search.

  • An Architecture for Context-Aware Semantic Web Services

    Context awareness in Web services is gaining momentum. Since it is not a trivial task, it suffers from lack of a general solution. In this paper, we introduce a novel approach for context-aware semantic Web services which is applicable for any environment. It is established based on composition of context provider Web services and other context-aware semantic Web services. In addition, an extended version of the semantic Web service ontology language for semantic Web services is introduced, in order to make it possible to find appropriate context-aware semantic Web services based on available context information. So as to make it applicable for any environment, the solution does not hold any assumption about the user's context source. Rather, the property of context level is defined.

  • The design of semantic Web services discovery model based on multi proxy

    Web services have changed the Web from a database of static documents to a service provider. To improve the automation of Web services interoperation, a lot of technologies are recommended, such as semantic Web services and proxys. In this paper we propose a model for semantic Web service discovery based on semantic Web services and FIPA multi proxys. This paper provides a broker which provides semantic interoperability between semantic Web service provider and proxys by translating WSDL to DF description for semantic Web services and DF description to WSDL for FIPA multi proxys. We describe how the proposed architecture analyzes the request and match search query. The ontology management in the broker creates the user ontology and merges it with general ontology (i.e. WordNet, Yago, Wikipedia ...). We also describe the recommendation component that recommends the WSDL to Web service provider to increase their retrieval probability in the related queries.



Standards related to Semantic Web

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