Search results for "semantic search"

showing 10 items of 12 documents

Using UDDI for Publishing Metadata of the Semantic Web

2006

Although UDDI does not provide support for semantic search, retrieval and storage, it is already accepted as an industrial standard and a huge number of services already store their service specifications in UDDI. Objective of this paper is to analyze possibilities and ways to use UDDI registry to allow utilization of meta-data encoded according to Semantic Web standards for semantic-based description, discovery and integration of web resources in the context of needs of two research projects: “Adaptive Services Grid” and “SmartResource”. We present an approach of mapping RDFS upper concepts to UDDI data model using tModel structure, which makes possible to store semantically annotated reso…

Information retrievalWS-I Basic Profilebusiness.industryComputer scienceInformationSystems_INFORMATIONSTORAGEANDRETRIEVALSemantic searchcomputer.software_genreSocial Semantic WebWorld Wide WebMetadataSemantic gridSemantic Web StackWeb servicebusinessSemantic Webcomputer
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Semantic technologies for industry: From knowledge modeling and integration to intelligent applications

2013

Artificial Intelligence technologies are growingly used within several software systems ranging from Web services to mobile applications. It is by no doubt true that the more AI algorithms and methods are used the more they tend to depart from a pure "AI" spirit and end to refer to the sphere of standard software. In a sense, AI seems strongly connected with ideas, methods and tools that are not (yet) used by the general public. On the contrary, a more realistic view of it would be a rich and pervading set of successful paradigms and approaches. Industry is currently perceiving semantic technologies as a key contribution of AI to innovation. In this paper a survey of current industrial expe…

Computer scienceKnowledge RepresentationRecommender systemcomputer.software_genreNLPIndustrial ApplicationsWorld Wide WebKnowledge modelingSemantic TechnologiesArtificial Intelligencesemantic searchontologiesKnowledge Representation; Semantic Technologies; Industrial Applicationsinformation retrievalSoftware systembusiness.industrySemantic searchSketchBPMSemantic technologyApplications of artificial intelligenceNLP information retrieval semantic search recommender systems ontologies BPMrecommender systemsWeb servicebusinesscomputerIntelligenza Artificiale
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A web search methodology for different user typologies

2009

Search engines and directories are the main tools used to find desired information into the ocean of digital contents that is the Web. However, they are not presently able to understand the user specific needs and starting knowledge because their inability to simulate the processes of human mind. Natural Language Processing, Folksonomy, Semantic Web and Serendipitous Surfing are some of the recent research fields towards understanding of human natural language and in general of real user needs. This work aims to add one step more to this evolution path by presenting a new search methodology that allows users to create new knowledge paths on the web based on their specific requirements. Thus…

medicine.medical_specialtyInformation retrievalWeb search querySettore INF/01 - Informaticabusiness.industryComputer scienceSearch analyticsSemantic searchSocial Semantic WebWorld Wide WebWeb pageWeb designmedicineInformation Search and Retrieval Clustering Search Process Web EngineWeb crawlerbusinessWeb modelingProceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
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Reasoning with Multilevel Contexts in Semantic Metanetworks

2000

It is generally accepted that knowledge has a contextual component. Acquisition, representation, and exploitation of knowledge in context would have a major contribution in knowledge representation, knowledge acquisition, and explanation, as Brezillon and Abu-Hakima supposed in [Brezillon and Abu-Hakima, 1995]. Among the advantages of the use of contexts in knowledge representation and reasoning Akman and Surav [Akman and Surav, 1996] mentioned the following: economy of representation, more competent reasoning, allowance for inconsistent knowledge bases, resolving of lexical ambiguity and flexible entailment. Brezillon and Cases noticed however in [Brezillon and Cases, 1995] that knowledge-…

Knowledge representation and reasoningComputer sciencebusiness.industryRepresentation (systemics)Semantic searchContext (language use)Semantic interoperabilitycomputer.software_genreKnowledge acquisitionSocial Semantic WebSemantic integrationArtificial intelligencebusinesscomputerNatural language processing
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Qualifying semantic graphs using model checking

2011

International audience; Semantic interoperability problems have found their solutions using languages and techniques from the Semantic Web. The proliferation of ontologies and meta-information has improved the understanding of information and the relevance of search engine responses. However, the construction of semantic graphs is a source of numerous errors of interpretation or modeling and scalability remains a major problem. The processing of large semantic graphs is a limit to the use of semantics in current information systems. The work presented in this paper is part of a new research at the border of two areas: the semantic web and the model checking. This line of research concerns t…

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[INFO.INFO-WB] Computer Science [cs]/WebComputer science[ INFO.INFO-WB ] Computer Science [cs]/Web0102 computer and information sciences02 engineering and technologycomputer.software_genre01 natural sciencesSocial Semantic Webtemporal logicSemantic similaritySemantic computing0202 electrical engineering electronic engineering information engineeringSemantic analyticsSemantic integrationSemantic Web StackInformation retrievalbusiness.industry[INFO.INFO-WB]Computer Science [cs]/WebSemantic search020207 software engineeringSemantic interoperability[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationModel-checking010201 computation theory & mathematicsSemantic graphTheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationArtificial intelligencebusinesscomputerNatural language processing2011 International Conference on Innovations in Information Technology
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Designing for Exploratory Search on Touch Devices

2015

Exploratory search confront users with challenges in expressing search intents as the current search interfaces require investigating result listings to identify search directions, iterative typing, and reformulating queries. We present the design of Exploration Wall, a touch-based search user interface that allows incremental exploration and sense-making of large information spaces by combining entity search, flexible use of result entities as query parameters, and spatial configuration of search streams that are visualized for interaction. Entities can be flexibly reused to modify and create new search streams, and manipulated to inspect their relationships with other entities. Data compr…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniUser interfacesSettore INF/01 - InformaticaQuery stringComputer sciencebusiness.industryExploratory searchSearch analyticsUser satisfactionSemantic searchTouch devicesExploratory searchTask (computing)Search engineHuman–computer interactionTouch deviceUser interfacebusiness
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Semantic retrieval: an approach to representing, searching and summarising text documents

2011

Nowadays, the internet is the major source of information for millions of people. There are many search tools available on the net but finding appropriate text information is still difficult. The retrieval efficiency of the presently used systems cannot be significantly improved: ‘bag of words’ interpretation causes losing semantics of texts. We applied the functional approach to represent English text documents. It allows taking into account semantic relations between words when indexing documents and use ordinary English sentences as queries to a search engine. The proposed retrieval mechanisms return only highly relevant documents. They make it possible to generate content-aware summarie…

Information retrievalConcept searchbusiness.industryComputer scienceSearch engine indexingSemantic searchFunctional approachWord searchSemanticscomputer.software_genreBag-of-words modelVisual WordArtificial intelligencebusinesscomputerNatural language processingInternational Journal of Information Technology, Communications and Convergence
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IntentStreams

2015

The user's understanding of information needs and the information available in the data collection can evolve during an exploratory search session. Search systems tailored for well-defined narrow search tasks may be suboptimal for exploratory search where the user can sequentially refine the expressions of her information needs and explore alternative search directions. A major challenge for exploratory search systems design is how to support such behavior and expose the user to relevant yet novel information that can be difficult to discover by using conventional query formulation techniques. We introduce IntentStreams, a system for exploratory search that provides interactive query refine…

Computer scienceExploratory search02 engineering and technologycomputer.software_genreSearch engine020204 information systemsUser interface design0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesParallel browsingInformation exploration050107 human factorsSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalConcept searchWeb search querySettore INF/01 - Informaticabusiness.industrySearch analytics05 social sciencesSemantic searchUser interface designData miningUser interfacebusinesscomputerProceedings of the 20th International Conference on Intelligent User Interfaces
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An A* Based Semantic Tokenizer for Increasing the Performance of Semantic Applications

2013

Semantic Applications (SAs) makes use of ontolo- gies and their performance can depend on the syntactic labels of the modeled entities; even if several approaches have been devised to formalize ontologies, no formal approaches have been devised for naming their constituents, which look as long word concatenations without any particular separation. We present a novel semantic tokenizer that finds the sub-words through an application of the A* based search algorithm; the A* functions rely on a set of linguistic criteria and on the meta-cognitive perspective of the activity of reading.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalComputer sciencebusiness.industrySemantic searchOntology (information science)computer.software_genreSemantic tokenizer ontology A* tree search UIMASet (abstract data type)Semantic similaritySearch algorithmSemantic computingSemantic analyticsArtificial intelligencebusinesscomputerWord (computer architecture)Natural language processing2013 IEEE Seventh International Conference on Semantic Computing
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CitySearcher: A City Search Engine For Interests

2017

We introduce CitySearcher, a vertical search engine that searches for cities when queried for an interest. Generally in search engines, utilization of semantics between words is favorable for performance improvement. Even though ambiguous query words have multiple semantic meanings, search engines can return diversified results to satisfy different users' information needs. But for CitySearcher, mismatched semantic relationships can lead to extremely unsatisfactory results. For example, the city Sale would incorrectly rank high for the interest shopping because of semantic interpretations of the words. Thus in our system, the main challenge is to eliminate the mismatched semantic relationsh…

Feature engineeringWord embeddingkaupungitComputer scienceInformation needs02 engineering and technologysemanttinen webSemanticscomputer.software_genresearch enginesSearch enginesemantic web020204 information systems0202 electrical engineering electronic engineering information engineeringhakuohjelmatWord2vectowns and citiesta113Information retrievalbusiness.industryRank (computer programming)Semantic searchsuosittelujärjestelmätVertical search020201 artificial intelligence & image processingLearning to rankArtificial intelligencerecommender systemsbusinesscomputerNatural language processing
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