Search results for "computer.file_format"

showing 10 items of 214 documents

XBRL

2007

This paper describes the main contributions in relation with the develop of an XBRL (Extensible Business Reporting Language) taxonomy proposed by the PRISMA research group at University UNAB. This taxonomy has been developed for public institutions in Colombia. This taxonomy is based on the information exchange of financial information. It is also described the creation of a wiki system which includes real information of existing XBRL projects in the world and the creation of a demostration center of XBR reports.

World Wide WebKnowledge managementIntelligent decision makingBusiness reportingbusiness.industryComputer scienceFinancial informationPublic institutioncomputer.file_formatXBRLbusinesscomputerInformation exchangeProceedings of the 2007 Euro American conference on Telematics and information systems
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Content Production Strategies for E-Government

2008

The terms electronic government (e-government) and digital government are used to refer to the utilization of the Internet and other information and communication technologies (ICT) effectively in public sectors. In e-government development activities, the concern is often in building new means to support and strengthen democracy (e.g., Watson, Alselsen, Evjemo, & Aarsæther, 1999). In other cases, the main concern may be in supporting the work of people in public sectors (e.g., Mustajärvi, 2003), or in building new kinds of services for citizens (e.g., Lyytikäinen, Tiitinen, & Salminen, 2000). Common to most development activities is the need to have the content of public sector inf…

World Wide WebMetadataStructured documentE-Governmentcomputer.internet_protocolBusinesscomputer.file_formatRDFContent productioncomputerSemantic WebXML
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HTML - Hypertext Markup Language

1997

XHTMLRuleMLMarkup languageComputer sciencecomputer.file_formatHTMLSynchronized Multimedia Integration LanguageComputer Science ApplicationsWorld Wide WebSGMLcomputerInformation Systemscomputer.programming_languagePCDATACollaborative Application Markup LanguageInformatik-Spektrum
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Adopting XML for Large-Scale Information

2011

This book has presented many different ways to encode information in XML format and the purposes for doing so. In this concluding chapter we consider problems related to managing XML information assets and the methods available to address those problems. Approaches for persistently storing XML data can be divided into file storage and database storage, and the research community has been especially active in designing new solutions for XML databases. However, adoption of XML often means massive migration procedures from some legacy data into the XML format; examples of migration cases are given. While describing the ­problems related to adopting XML, we give examples of the kinds of data fo…

XML EncryptionComputer scienceEfficient XML InterchangeXML SignatureXML validationcomputer.file_formatcomputer.software_genreXML frameworkWorld Wide WebXML databaseXML Schema EditorStreaming XMLComputingMethodologies_DOCUMENTANDTEXTPROCESSINGcomputer
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Why Use XML?

2011

Since its inception a decade ago, XML has become a standard ­technology for software engineers, all Web browsers are able to parse and show XML ­documents, and huge XML data resources are available from the Internet. Many of the documents are in XHTML, but other XML applications are quite common as well. XML has also become a format that is increasingly common in the files of local disks. This success would not have been possible without collaborative efforts throughout the Web community. Such world-wide collaborative development has included standards, software applications, and case implementations that can serve as models when developing new solutions. In this chapter we consider what ki…

XML frameworkWorld Wide WebXML EncryptionComputer scienceXML Schema EditorStreaming XMLEfficient XML InterchangeComputingMethodologies_DOCUMENTANDTEXTPROCESSINGXML SignatureXML BaseXML validationcomputer.file_formatcomputer
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Interpreting Heterogeneous Geospatial Data Using Semantic Web Technologies

2016

International audience; The paper presents work on implementation of semantic technologies within a geospatial environment to provide a common base for further semantic interpretation. The work adds on the current works in similar areas where priorities are more on spatial data integration. We assert that having a common unified semantic view on heterogeneous datasets provides a dimension that allows us to extend beyond conventional concepts of searchability, reusability, composability and interoperability of digital geospatial data. It provides contextual understanding on geodata that will enhance effective interpretations through possible reasoning capabilities. We highlight this through …

[ INFO ] Computer Science [cs]Geospatial analysisComputer scienceInteroperabilitySemantification02 engineering and technologySDIcomputer.software_genreSocial Semantic Web020204 information systems0202 electrical engineering electronic engineering information engineeringSemantic analyticsGeospatial PDF[INFO]Computer Science [cs]Web Coverage ServiceSemantic Web StackSemantic WebData WebR2RMLInformation retrievalLand usebusiness.industryCIPcomputer.file_formatGeoSPARQLInteroperabilityGeoSPARQLSemantic technology020201 artificial intelligence & image processingHeterogeneitybusinesscomputer
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User profile matching in social networks

2010

International audience; Inter-social networks operations and functionalities are required in several scenarios (data integration, data enrichment, information retrieval, etc.). To achieve this, matching user profiles is required. Current methods are so restrictive and do not consider all the related problems. Particularly, they assume that two profiles describe the same physical person only if the values of their Inverse Functional Property or IFP (e.g. the email address, homepage, etc.) are the same. However, the observed trend in social networks is not fully compatible with this assumption since users tend to create more than one social network account (for personal use, for work, etc.) w…

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]Matching (statistics)Computer science[SCCO.COMP]Cognitive science/Computer science02 engineering and technologySimilarity measurecomputer.software_genreElectronic mail[SCCO.COMP] Cognitive science/Computer science020204 information systemsFOAF0202 electrical engineering electronic engineering information engineeringPattern matchingUser profileSocial networkbusiness.industrycomputer.file_formatProfile MatchingSocial Networks[ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]020201 artificial intelligence & image processingData mining[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]businesscomputerData integration
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Semantic-based Merging of RSS Items

2009

Merging XML documents can be of key importance in several applications. For instance, merging the RSS news from same or different sources and providers can be beneficial for end-users in various scenarios. In this paper, we address this issue and explore the relatedness measure between RSS elements. We show here how to define and compute exclusive relations between any two elements and provide several predefined merging operators that can be extended and adapted to human needs. We also provide a set of experiments conducted to validate our approach. © Springer Science+Business Media, LLC 2009.

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-WB] Computer Science [cs]/WebComputer Networks and CommunicationsComputer sciencecomputer.internet_protocolRSS[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer science02 engineering and technologycomputer.software_genreClusteringMergingSet (abstract data type)[SCCO.COMP] Cognitive science/Computer science020204 information systems0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Cluster analysisComputingMilieux_MISCELLANEOUS[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]Measure (data warehouse)[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Document relatedne[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]computer.file_formatRSSMerging operator[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Hardware and Architecture[ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Key (cryptography)020201 artificial intelligence & image processingData mining[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]computerSoftwareXML
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Relating RSS News/Items

2009

Merging related RSS news (coming from one or different sources) is beneficial for end-users with different backgrounds (journalists, economists, etc.), particularly those accessing similar information. In this paper, we provide a practical approach to both: measure the relatedness, and identify relationships between RSS elements. Our approach is based on the concepts of semantic neighborhood and vector space model, and considers the content and structure of RSS news items. © 2009 Springer Berlin Heidelberg.

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-WB] Computer Science [cs]/WebComputer scienceRSS[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer science02 engineering and technologySimilarityTheoretical Computer ScienceWorld Wide Web[SCCO.COMP] Cognitive science/Computer science020204 information systemsSimilarity (psychology)0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Neighbourhood (mathematics)[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]Structure (mathematical logic)[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]Measure (data warehouse)[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Information retrievalRelationship[INFO.INFO-WB]Computer Science [cs]/WebComputer Science (all)[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]computer.file_format[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]RSS Relatedne[ SCCO.COMP ] Cognitive science/Computer scienceVector space model020201 artificial intelligence & image processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]InformationSystems_MISCELLANEOUSNeighbourhoodcomputer
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Semantic aware RSS query algebra

2010

International audience; Existing XML query algebras are not fully appropriate to retrieve RSS news items mainly due to three reasons: 1) RSS is text rich and its content is dependent on the wording and verbification of the author, thus semantic aware operators are needed; 2) news items are dynamic and consequently time oriented retrieval is needed; 3) a news item may evolve through time, or overlap with other news items and hence identifying relationships between items is also needed. In this paper, we aim to solve these issues by providing a dedicated RSS algebra based on semantic-aware operators that consider RSS characteristics. The provided operators are application domain specific and …

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-WB] Computer Science [cs]/Webcomputer.internet_protocolComputer scienceRSS[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer science02 engineering and technologyQuery optimizationQuery algebraQuery expansion[SCCO.COMP] Cognitive science/Computer scienceApplication domain020204 information systems0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Equivalence (formal languages)[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]Semantic queryInformation 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]computer.file_format[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR][ SCCO.COMP ] Cognitive science/Computer science020201 artificial intelligence & image processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]computerXML
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