Search results for "Information Retrieval"

showing 10 items of 924 documents

Schema theory: A new approach?

1987

Document Structure DescriptionBehavioral NeuroscienceNeuropsychology and Physiological PsychologyInformation retrievalPhysiologyComputer scienceStar schemaDatabase schemaGender schema theoryLogical schemaConceptual schemaBehavioral and Brain Sciences
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Building Semantic Trees from XML Documents

2016

International audience; The distributed nature of the Web, as a decentralized system exchanging information between heterogeneous sources, has underlined the need to manage interoperability, i.e., the ability to automatically interpret information in Web documents exchanged between different sources, necessary for efficient information management and search applications. In this context, XML was introduced as a data representation standard that simplifies the tasks of interoperation and integration among heterogeneous data sources, allowing to represent data in (semi-) structured documents consisting of hierarchically nested elements and atomic attributes. However, while XML was shown most …

Document Structure DescriptionComputer Networks and CommunicationsComputer sciencecomputer.internet_protocolSemantic analysis (machine learning)Efficient XML InterchangeInteroperabilityXML SignatureWord sense disambiguation02 engineering and technologycomputer.software_genreSemantic networkSemantic ambiguityXML Schema Editor020204 information systemsNode (computer science)0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]XML schemaContext representationcomputer.programming_languageXML treeInformation retrievalKnowledge basesSemi-structured dataXML validationcomputer.file_formatSemantic interoperabilityXMLHuman-Computer InteractionXML databaseSemantic similaritySemantic-aware processing020201 artificial intelligence & image processingWeb servicecomputerSoftwareXML
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A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics

2012

International audience; XML similarity evaluation has become a central issue in the database and information communities, its applications ranging over document clustering, version control, data integration and ranked retrieval. Various algorithms for comparing hierarchically structured data, XML documents in particular, have been proposed in the literature. Most of them make use of techniques for finding the edit distance between tree structures, XML documents being commonly modeled as Ordered Labeled Trees. Yet, a thorough investigation of current approaches led us to identify several similarity aspects, i.e., sub-tree related structural and semantic similarities, which are not sufficient…

Document Structure DescriptionComputer Networks and Communicationscomputer.internet_protocolComputer scienceEfficient XML Interchange[SCCO.COMP]Cognitive science/Computer science0102 computer and information sciences02 engineering and technologycomputer.software_genre01 natural sciencesSemantic similarityXML Schema Editor020204 information systems0202 electrical engineering electronic engineering information engineeringXML schemacomputer.programming_languageInformation retrieval[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]XML validationcomputer.file_formatDocument clusteringHuman-Computer InteractionXML frameworkTree (data structure)XML databaseTree structure010201 computation theory & mathematics[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]020201 artificial intelligence & image processingSemi-structured dataEdit distancecomputerSoftwareXMLXML CatalogData integration
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Building Ontologies from XML Data Sources

2009

In this paper, we present a tool called X2OWL that aims at building an OWL ontology from an XML datasource. This method is based on XML schema to automatically generate the ontology structure, as well as, a set of mapping bridges. The presented method also includes a refinement step that allows to clean the mapping bridges and possibly to restructure the generated ontology.

Document Structure DescriptionComputer sciencecomputer.internet_protocolProcess ontologyEfficient XML InterchangeXML SignatureOntology (information science)computer.software_genreXML Schema EditorStreaming XMLUpper ontologyXML schemaRDFSemantic Webcomputer.programming_languageInformation retrievalOntology-based data integrationSuggested Upper Merged OntologyWeb Ontology LanguageXML validationcomputer.file_formatXML frameworkXML databaseComputingMethodologies_DOCUMENTANDTEXTPROCESSINGOntologycomputerXML2009 20th International Workshop on Database and Expert Systems Application
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Two Methods for Schema Design for Intelligent XML Documents in Organizations

2007

XML markup language provides means for incorporating semantics, i.e. “meaning” of logical content parts residing within documents. Therefore it has become the lingua franca for Semantic Web, e-Business applications and for enterprise application integration. In order to realize novel, intelligent XML-based document applications in organizations, schemas defining the domain-oriented semantics are needed. So far, the potential of XML has not bee fully utilized in organizational documents, due to the lack of XML support in common and inexpensive office software. Due to the arrival of XML support on common software such as Microsoft Office 2007 and Open Office 2.0 organizations need knowledge a…

Document Structure DescriptionInformation retrievalComputer sciencecomputer.internet_protocolcXMLEfficient XML InterchangeXML validationDocument type definitioncomputer.file_formatDocument Schema Definition LanguagesXML Schema EditorComputingMethodologies_DOCUMENTANDTEXTPROCESSINGcomputerXML
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Aspects on XML Document Content Reuse in Organizaotins

2007

Designing the reuse of information residing in documents is more complex than for information in databases. Document content is designed for humans and organized with regard to communicational purposes for organizational work. In addition, content organization within documents is affected by the requirements of multichannel publishing and layout design for content presentation. Efficient content reuse in organizational documents requires that the ways the content is created and stored within and across documents and other content resources, such as databases, should be identified. XML provides technological means for document content reuse. The designers of XML document production need to b…

Document Structure DescriptionInformation retrievalcomputer.internet_protocolComputer sciencebusiness.industryWell-formed documentXML validationWorld Wide WebSimple API for XMLComputingMethodologies_DOCUMENTANDTEXTPROCESSINGXML schemabusinesscomputerXMLXML Catalogcomputer.programming_languageContent management2007 IEEE International Conference on Information Reuse and Integration
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Ontology-based integration of XML data: Schematic marks as a bridge between syntax and semantic level

2007

This paper presents an ontology integration approach of XML data. The approach is composed of two pillars the first of which is based on formal language and XML grammars analysis. The second pillar is based on ontology and domain ontology analysis. The keystone of this architecture which creates a bridge between the two pillars is based on the concept of schematic marks introduced in this paper. These schematic marks make it possible to establish the link between the syntactic level and the semantic level for our integration framework.

Document Structure DescriptionXML EncryptionInformation retrievalComputer scienceXML Schema EditorOntology-based data integrationStreaming XMLXML validationXML schemaOntology (information science)computercomputer.programming_language
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XML document-grammar comparison: related problems and applications

2011

10.2478/s13537-011-0005-1; International audience; XML document comparison is becoming an ever more popular research issue due to the increasingly abundant use of XML. Likewise, a growing interest fosters the development of XML grammar matching and comparison, due to the proliferation of heterogeneous XML data sources, particularly on the Web. Nonetheless, the process of comparing XML documents with XML grammars, i.e., XML document and grammar similarity evaluation, has not yet received the attention it deserves. In this paper, we provide an overview on existing research related to XML document/grammar comparison, presenting the background and discussing the various techniques related to th…

Document Structure DescriptionXML grammarXML Encryptionselective disseminationGeneral Computer ScienceComputer scienceEfficient XML Interchange[SCCO.COMP]Cognitive science/Computer scienceWell-formed document02 engineering and technologyWorld Wide WebXML Schema Editor[SCCO.COMP] Cognitive science/Computer science020204 information systemsStreaming XML0202 electrical engineering electronic engineering information engineeringPROCESSAMENTO DE IMAGENSXML schemacomputer.programming_languageInformation retrievalXSDgrammar evolutionXML validationstructural similarityQA75.5-76.95computer.file_formatXMLDTDclassificationElectronic computers. Computer science[ SCCO.COMP ] Cognitive science/Computer scienceComputingMethodologies_DOCUMENTANDTEXTPROCESSING020201 artificial intelligence & image processingsemi-structured datacomputerclusteringstructure transformation
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An overview on XML similarity: Background, current trends and future directions

2009

In recent years, XML has been established as a major means for information management, and has been broadly utilized for complex data representation (e.g. multimedia objects). Owing to an unparalleled increasing use of the XML standard, developing efficient techniques for comparing XML-based documents becomes essential in the database and information retrieval communities. In this paper, we provide an overview of XML similarity/comparison by presenting existing research related to XML similarity. We also detail the possible applications of XML comparison processes in various fields, ranging over data warehousing, data integration, classification/clustering and XML querying, and discuss some…

Document Structure Description[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]General Computer Science[INFO.INFO-WB] Computer Science [cs]/WebComputer sciencecomputer.internet_protocolEfficient XML Interchange[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer science02 engineering and technologycomputer.software_genreTheoretical Computer ScienceXML Schema Editor[SCCO.COMP] Cognitive science/Computer science020204 information systems0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]ComputingMilieux_MISCELLANEOUS[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]Information retrieval[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]XML validationcomputer.file_formatXML frameworkXML database[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]ComputingMethodologies_DOCUMENTANDTEXTPROCESSING020201 artificial intelligence & image processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]computerXMLXML Catalog
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Extensible User-Based XML Grammar Matching

2009

International audience; XML grammar matching has found considerable interest recently due to the growing number of heterogeneous XML documents on the web and the increasing need to integrate, and consequently search and retrieve XML data originated from different data sources. In this paper, we provide an approach for automatic XML grammar matching and comparison aiming to minimize the amount of user effort required to perform the match task. We propose an open framework based on the concept of tree edit distance, integrating different matching criterions so as to capture XML grammar element semantic and syntactic similarities, cardinality and alternativeness constraints, as well as data-ty…

Document Structure Description[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]XML Encryption[INFO.INFO-WB] Computer Science [cs]/WebComputer sciencecomputer.internet_protocolEfficient XML Interchange[ INFO.INFO-WB ] Computer Science [cs]/WebXML Signature[SCCO.COMP]Cognitive science/Computer science02 engineering and technologycomputer.software_genreSchema matchingSimple API for XML[SCCO.COMP] Cognitive science/Computer scienceXML Schema Editor020204 information systemsStreaming XML0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]RELAX NGXML schemaBinary XMLSGML[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]computer.programming_language[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]Information retrieval[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]XML validationcomputer.file_formatXML framework[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]XML databaseXML Schema (W3C)[ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Vector space model020201 artificial intelligence & image processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]computerXMLXML Catalog
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