9,012 resources related to Semantic Web
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
ICSE is the premier forum for researchers to present and discuss the most recent innovations,trends, outcomes, experiences, and challenges in the field of software engineering. The scopeis broad and includes all original and unpublished results of empirical, conceptual, experimental,and theoretical software engineering research.
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.
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 ...
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.
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 ...
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.
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 ...
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 ...
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? ...
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 ...
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 ...
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 ...
EDOC 2010 - Dr. Benjamin Grosof Keynote
William J. Miller on Sensei-IoT: 2016 End to End Trust and Security Workshop for the Internet of Things
Semantic Parsing in Indoors and Outdoors Environments
EDOC 2010 - Dragan Gasevic Keynote
The Autonomous City Explorer (ACE) Project--Mobile Robot Navigation in Highly Populated Urban Environments
Dean Kamen's Artificial Arm
Computer-Assisted Audiovisual Language Learning
Computing Conversations: Rasmus Lerdorf Interview on Creating PHP
IEEE Top Trends for 2012 at CES: Tipping Point for Video Entertainment on the Web
Surgeons Got Game
Data and Algorithmic Bias in the Web - Ricardo Baeza-Yates - WCCI 2016
Ignite! Session: Jennifer Trelewicz
A Manhattan Project for the Prosthetic Arms Race
Tapping the Computing Power of the Unconscious Brain
Yesterday, Today and the Next Decade ? James Whittaker, Microsoft
Playing Guitar Hero Without Hands
The Rocket-Powered Prosthetic Arm
Feeding the Machine: The World's Most Sophisticated Artificial Stomach
Panelist Yuval Elovici - ETAP Forum Tel Aviv 2016
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.
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
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.
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.
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.
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.
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.
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.
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.
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.
No standards are currently tagged "Semantic Web"