Search results for "semantic web"

showing 10 items of 150 documents

A hybrid approach to semantic web services matchmaking

2008

AbstractDeploying the semantics embedded in web services is a mandatory step in the automation of discovery, invocation and composition activities. The semantic annotation is the “add-on” to cope with the actual interoperability limitations and to assure a valid support to the interpretation of services capabilities. Nevertheless many issues have to be reached to support semantics in the web services and to guarantee accurate functionality descriptions. Early efforts address automatic matchmaking tasks, in order to find eligible advertised services which appropriately meet the consumer’s demand. In the most of approaches, this activity is often entrusted to software agents, able to drive re…

Service (business)Computer scienceWS-I Basic Profilebusiness.industryApplied MathematicsServices computingSemantic web servicesOntology web language service (OWLS)Agentscomputer.software_genreSocial Semantic WebTheoretical Computer ScienceWorld Wide WebHybrid systemFuzzy C-mean (FCM) clusteringArtificial IntelligenceFuzzy multisetSemantic Web StackWeb serviceWS-PolicybusinessSemantic WebcomputerSoftwareInternational Journal of Approximate Reasoning
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Similarity estimation module for OWSCIS

2008

Semantic interoperability based on ontologies is nowadays becoming a great challenge. We propose an architecture for semantic-based cooperation called OWSCIS (Ontology and Web Service based Cooperation of Information Sources). It allows to map various information sources using ontologies and to answer users' queries over the cooperation. In this paper we focus on the similarity estimation service of the OWSCIS Architecture which allows to discover mappings between different ontologies. It relies on various mappings methods which are combined and refined to semi-automatically generate mappings between a local and a reference ontologies.

Service (systems architecture)Information retrievalComputer sciencebusiness.industryOntology (information science)Semantic interoperabilitycomputer.software_genreSocial Semantic WebSemantic analyticsOntologySemantic Web StackWeb servicebusinessSemantic WebcomputerProceedings of the 2008 ACM symposium on Applied computing
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Looking Beyond Genres: Identifying Meaningful Semantic Layers from Tags in Online Music Collections

2011

A scheme for identifying the semantic layers of music-related tags is presented. Arguments are provided why the applications of the tags cannot be effectively pursued without a reasonable understanding of their semantic qualities. The identification scheme consists of a set of filters. The first is related with social consensus, user-count ratio, and n-gram properties of tags. The next relies on look-up functions across multiple databases to determine the probable semantic layer of each tag. Examples of the semantic layers with prevalence rates are given based on application of the scheme to a subset of the Million Song Dataset. Finally, a validation of the results was carried out with an i…

Set (abstract data type)Scheme (programming language)Identification (information)Information retrievalComputer scienceSemantic computingMusic information retrievalSemantic Web Stackcomputercomputer.programming_language2011 10th International Conference on Machine Learning and Applications and Workshops
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Semantic traffic applications based on DatexII

2009

In this work we demonstrate a particular use of ontologies based on the European specifications DATEXII. These specifications are designed and developed as a traffic and travel data exchange mechanism by a European task force to set up and standardise the interface between traffic control and information centres. It is the reference for applications that are developed and implemented in Europe.This language describes concepts and structures of data related to traffic, but the description is just syntactic, not semantic. Therefore the objective to be reached in this part of the research has been to develop a semantic description in order to carry out some applications like syndication and a …

Set (abstract data type)Web syndicationSemantic gridInformation retrievalInterface (Java)Computer scienceData exchangeSemantic computingSemantic analyticsSemantic Web StackData miningcomputer.software_genrecomputerProceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to increase Digital Citizenship
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Towards Mkda: A Data Mining Semantic Web Service

2008

Nowadays a huge amount of raw medical data is generated. These data, analyzed with data mining techniques, could be used to produce new knowledge. Unluckily such tasks need skilled data analysts, and not so many researchers in medical field are also data mining experts. In this paper we present a web based system for knowledge discovery assistance in Medicine able to advice a medical researcher in this kind of tasks. The experiment specifications are expressed in a formal language we have defined. The system GUI helps the user in the their composition. The system plans a Knowledge Discovery Process (KDP). The KDP is designed on the basis of rules in a knowledge base. Finally the system exec…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniData Mining Knowledge Discovery in Databases Semantic Web Service Medical Knowledge Discovery Assistant Knowledge Discovery Process.
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A Semantic Similarity Measure for the SIMS Framework

2008

The amount of currently available digital information grows rapidly. Relevant information is often spread over different information sources. An efficient and flexible framework to allow users to satisfy ef- fectively their information needs is required. The work presented in this paper describes SIMS (Semantic Information Management System), a ref- erence architecture for a framework performing semantic annotation, search and retrieval of information from multiple sources. The work pre- sented in this paper focuses on a specific SIMS module, the SIMS Semantic Content Navigator, proposing an algorithm and the related implementa- tion to calculate a semantic similarity measure inside an OWL …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalComputer scienceInformation needsWeb Ontology Languageknowledge managementOntology (information science)Semantic gridSemantic similaritySemantic similarityExplicit semantic analysisSemantic computingOntologySemantic technologySemantic integrationontologySemantic Web StackcomputerInformation filtering systemcomputer.programming_language
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An Innovative Statistical Tool for Automatic OWL-ERD Alignment

2016

Aligning two representations of the same domain with different expressiveness is a crucial topic in nowadays semantic web and big data research. OWL ontologies and Entity Relation Diagrams are the most widespread representations whose alignment allows for semantic data access via ontology interface, and ontology storing techniques. The term ""alignment" encompasses three different processes: OWL-to-ERD and ERD-to-OWL transformation, and OWL-ERD mapping. In this paper an innovative statistical tool is presented to accomplish all the three aspects of the alignment. The main idea relies on the use of a HMM to estimate the most likely ERD sentence that is stated in a suitable grammar, and corre…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalRelation (database)computer.internet_protocolComputer scienceSemantic Web Rule LanguageComputer Science::Information Retrieval010401 analytical chemistry020206 networking & telecommunications02 engineering and technologyOntology (information science)SemanticsSemantic data model01 natural sciencesOWL-S0104 chemical sciences0202 electrical engineering electronic engineering information engineeringHidden Markov models Knowledge representation languages Ontologies (artificial intelligence) Semantic Web Databases OWL ERDSemantic WebcomputerSentence2016 IEEE Tenth International Conference on Semantic Computing (ICSC)
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A Combined Fuzzy Semantic Similarity Measure In Owl Ontologies

2008

An algorithm is presented in this paper to calculate a semantic similarity measure inside an OWL ontology. The formulation is based on a combined measure taking into account the two most important aspects involved in the similarity computation. These are the structural properties of a concept, and the information content inside the ontology. We define a fuzzy system to blend these information sources with a training process over some ontologies. Finding a similarity measure between concepts of an ontology is a fundamental topic to accomplish information exchange on the Web. Through this measure it is possible to perform sophisticated queries over the web where the user is able to request co…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniOWL ontologieFuzzy measureSemantic similarity measureSemantic Web
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Designing Ontology-Driven Recommender Systems for Tourism

2014

Nowadays, Internet users may experience some difficulty in finding the information they need from the huge multitude of existing web pages. A possible solution to this problem might lie in delegating some of the search tasks to machines, or in other words, in building a Semantic Web in which information could be processed automatically by intelligent software agents. Given the constantly increasing growth of the tourism industry, it might be particularly helpful to develop virtual assistants capable of planning trips on the basis of a user’s interests. If so, adopting Semantic Web technologies would make it possible to provide a more customized service to each user and thus satisfy their re…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniService (systems architecture)Computer sciencemedia_common.quotation_subjectRecommender systemOntology (information science)World Wide WebSoftware agentWeb pageOntologiesOntologyQuality (business)Software systemSemantic WebTourismSemantic Webmedia_common
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Internet of Things Law. Of Privacy, Data Protection and Some Other Stuff

2014

The presentation at hand deals with the privacy, data protection and security aspects of the Internet of Things

Settore IUS/01 - Diritto PrivatoInternet of things cloud computing ubiquitous computing future Internet web of things semantic web privacy data protection security UK
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