Search results for "Web"

showing 10 items of 2018 documents

Faceted Search Over RDF-Based Knowledge Graphs

2016

Knowledge graphs such as Yago and Freebase have become a powerful asset for enhancing search, and are being intensively used in both academia and industry. Many existing knowledge graphs are either available as Linked Open Data, or they can be exported as RDF datasets enhanced with background knowledge in the form of an OWL 2 ontology. Faceted search is the de facto approach for exploratory search in many online applications, and has been recently proposed as a suitable paradigm for querying RDF repositories. In this paper, we provide rigorous theoretical underpinnings for faceted search in the context of RDFbased knowledge graphs enhanced with OWL 2 ontologies. We identify well-defined fra…

Information retrievalComputer scienceFaceted searchSPARQLContext (language use)Exploratory searchWeb Ontology Languagecomputer.file_formatLinked dataRDFOntology (information science)computercomputer.programming_languageSSRN Electronic Journal
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Ontology-Guided Approach to Feature-Based Opinion Mining

2011

The boom of the Social Web has had a tremendous impact on a number of different research topics. In particular, the possibility to extract various kinds of added-value, informational elements from users' opinions has attracted researchers from the information retrieval and computational linguistics fields. However, current approaches to socalled opinion mining suffer from a series of drawbacks. In this paper we propose an innovative methodology for opinion mining that brings together traditional natural language processing techniques with sentimental analysis processes and Semantic Web technologies. The main goals of this methodology is to improve feature-based opinion mining by employing o…

Information retrievalComputer scienceFeature extractionSentiment analysisFeature (machine learning)Selection (linguistics)Computational linguisticsOntology (information science)Social webData scienceSemantic Web
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Aligning Relational Schema and OWL Ontologies with Hidden Markov Model

2016

The problem of bridging the gap between relational schema and ontologies is actively investigated in the Semantic Web and business communities. The main motivations are the OBDA scenario, where a domain ontology allows to hidden the technical details of the db to end-users; and the persistent storage of ontologies in db for facilitating search and retrieval keeping the benefits of DBMSs such as security and integrity. In these cases, the ABox is usually stored into a db, and the TBox is maintained in an ontology; for this reason, schema alignment is a more significant problem than the instance matching one. The use of manual mappings is hard and expensive, especially for large representatio…

Information retrievalComputer scienceOntology-based data integrationProcess ontologySemi-structured modelWeb Ontology Language02 engineering and technologyOntology (information science)computer.software_genreAbox020204 information systemsStar schema0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingData miningcomputerData integrationcomputer.programming_languageInternational Journal of Knowledge Society Research
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Context-sensitive text mining with fitness leveling Genetic Algorithm

2015

Contextual processing is a great challenge for information retrieval study - the most approved techniques include scanning content of HTML web pages, user supported metadata analysis, automatic inference grounded on knowledge base, or content-oriented digital documents analysis. We propose a meta-heuristic by making use of Genetic Algorithms for Contextual Search (GACS) built on genetic programming (GP) and custom fitness leveling function to optimize contextual queries in exact search that represents unstructured phrases generated by the user. Our findings show that the queries built with GACS can significantly optimize the retrieval process.

Information retrievalComputer scienceProcess (engineering)business.industrymedia_common.quotation_subjectContext (language use)Genetic programmingContextual advertisingKnowledge baseGenetic algorithmWeb pageFunction (engineering)businessmedia_common2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)
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A framework for context-sensitive metadata description

2006

Expectations regarding the new generation of Web depend on the success of Semantic Web technology. Resource Description Framework (RDF) is a basis for explicit and machine-readable representation of semantics. However RDF is not suitable for describing dynamic and context-sensitive resources (eg. processes). We present the Context Description Framework (CDF) as an extension of the RDF by adding a 'TrueInContext' component to the basic RDF triple ('subject-predicate-object'), and consider contextual value as a container of RDF statements. We also add a probabilistic component, which allows multilevel contextual dependence descriptions as well as presumes possibility for Bayesian reasoning wi…

Information retrievalComputer scienceRDF SchemaWeb Ontology Languagecomputer.file_formatLinked dataLibrary and Information SciencesRDF/XMLComputer Science ApplicationsSimple Knowledge Organization SystemComputingMethodologies_DOCUMENTANDTEXTPROCESSINGSPARQLRDFcomputerInformation Systemscomputer.programming_languageRDF query languageInternational Journal of Metadata, Semantics and Ontologies
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Semantic web service discovery system for road traffic information services

2015

Create a multi-agent platform for a traveller information system (FIPA standards).Extend Paulucci algorithm with the use of seven similarity measures.Weight the similarity measure according to semantic relation and parameter nature.Improved running-time with a filtering pre-process for non-functional parameters.Improved the recall by measuring the sibling relationship concepts. We describe a multi-agent platform for a traveller information system, allowing travellers to find the road traffic information web service (WSs) that best fits their requirements. After studying existing proposals for discovery of semantic WS, we implemented a hybrid matching algorithm, which is described in detail …

Information retrievalComputer sciencebusiness.industryGeneral EngineeringSemantic web servicesSimilarity measurecomputer.software_genreRoad traffic information systemsSocial Semantic WebComputer Science ApplicationsKnowledge discoverySemantic similarityKnowledge extractionArtificial IntelligenceInformation systemInformation retrievalSemantic integrationRelevance (information retrieval)Semantic Web StackData miningWeb servicebusinessMatchmakingcomputerSemantic matching
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Semantic Portal for Legislative Information

2006

Semantic portals enabled by Semantic Web technologies have been suggested to provide a point of access to an integrated body of information about some domain. In the area of e-Government there are multiple possible domains for semantic portals, one of them being legislative work. In this paper we propose a semantic portal based on a rich metadata repository to support the retrieval of legislative information. The portal provides process oriented semantic browsing capabilities. A prototype of the portal has been implemented for the retrieval of Finnish legislative information.

Information retrievalComputer sciencebusiness.industryInformationSystems_INFORMATIONSTORAGEANDRETRIEVALComputingMilieux_LEGALASPECTSOFCOMPUTINGSocial Semantic WebWorld Wide WebSemantic gridSemantic computingSemantic analyticsSemantic technologySemantic integrationSemantic Web StackbusinessSemantic Web
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Combining content extraction heuristics

2008

The main text content of an HTML document on the WWW is typically surrounded by additional contents, such as navigation menus, advertisements, link lists or design elements. Content Extraction (CE) is the task to identify and extract the main content. Ongoing research has spawned several CE heuristics of different quality. However, so far only the Crunch framework combines several heuristics to improve its overall CE performance. Since Crunch, though, many new algorithms have been formulated. The CombinE system is designed to test, evaluate and optimise combinations of CE heuristics. Its aim is to develop CE systems which yield better and more reliable extracts of the main content of a web …

Information retrievalComputer sciencemedia_common.quotation_subjectDesign elements and principlescomputer.software_genreCrunchTask (project management)Content extractionQuality (business)Data miningHeuristicsWeb documentcomputermedia_commonProceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
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Combining OWL ontologies usingE-Connections

2006

The standardization of the Web Ontology Language (OWL) leaves (at least) two crucial issues for Web-based ontologies unsatisfactorily resolved, namely how to represent and reason with multiple distinct, but linked ontologies, and how to enable effective knowledge reuse and sharing on the Semantic Web. In this paper, we present a solution for these fundamental problems based on E-Connections. We aim to use E-Connections to provide modelers with suitable means for developing Web ontologies in a modular way and to provide an alternative to the owl:imports construct. With such motivation, we present in this paper a syntactic and semantic extension of the Web Ontology language that covers E-Conn…

Information retrievalDatabaseComputer Networks and Communicationsbusiness.industrySemantic Web Rule Languagecomputer.internet_protocolComputer scienceWeb Ontology LanguageOntology (information science)computer.software_genreSocial Semantic WebOWL-SHuman-Computer InteractionUpper ontologySemantic Web StackbusinesscomputerSemantic WebSoftwarecomputer.programming_languageJournal of Web Semantics
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Contextual Metadata for Document Databases

2005

Metadata has always been an important means to support accessibility of information in document collections. Metadata can be, for example, bibliographic data manually created for each document at the time of document storage. The indexes created by Web search engines serve as metadata about the content of Web documents. In the semantic Web solutions, ontologies are used to store semantic metadata (Berners-Lee et al., 2001). Attaching a common ontology to a set of heterogeneous document databases may be used to support data integration. Creation of the common ontology requires profound understanding of the concepts used in the databases. It is a demanding task, especially in cases where the …

Information retrievalDatabaseComputer scienceDocument type declarationWell-formed documentcomputer.software_genreMetadata repositoryWorld Wide WebMetadataDocument Schema Definition LanguagesSynonym ringGeospatial metadatacomputerDatabase catalog
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