Search results for "XML data"

showing 4 items of 14 documents

A novel policy-driven reversible anonymisation scheme for XML-based services

2015

Author's version of an article in the journal: Information Systems. Also available from the publisher at: http://dx.doi.org/10.1016/j.is.2014.05.007 This paper proposes a reversible anonymisation scheme for XML messages that supports fine-grained enforcement of XACML-based privacy policies. Reversible anonymisation means that information in XML messages is anonymised, however the information required to reverse the anonymisation is cryptographically protected in the messages. The policy can control access down to octet ranges of individual elements or attributes in XML messages. The reversible anonymisation protocol effectively implements a multi-level privacy and security based approach, s…

XML Encryptioncomputer.internet_protocolComputer sciencePrivacy policyInternet privacyBig dataXACMLprivacyComputer securitycomputer.software_genreXACMLbig dataVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552XML-encryptioncomputer.programming_languagebusiness.industrydeanonymiserService-oriented architectureXML databaseHardware and Architecturebusinessreversible anonymisationcomputerSoftwareXMLInformation SystemsInformation Systems
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Graphe-Based Rules For XML Data Conversion to OWL Ontology

2010

International audience; The paper presents a flexible method to enrich and populate an existing OWL ontology from XML data based on graph-based rules. These rules are defined in order to populate automatically a new version of an OWL ontology. Today, most of data exchanged between information systems is done with the help of the XML document. Leading researches in the domain of database systems are moving to semantic model in order to store data and its semantics definition. This flexible method consists in populating an existing OWL ontology from XML data. In paper we present such a method based on the definition of a graph which represents rules that drive the populating process.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]ontology enrichment[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]XML dataComputingMethodologies_DOCUMENTANDTEXTPROCESSING[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Ontology population[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]OWL ontologysemantic annotation[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]RDF
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A Graph-based Tool for the Translation of XML Data to OWL-DL Ontologies

2011

International audience; Today most of the data exchanged between information systems is done with the help of the XML syntax. Unfortunately when these data have to be integrated, the integration becomes difficult because of the semantics' heterogeneity. Consequently, leading researches in the domain of database systems are moving to semantic model in order to store data and its semantics definition. To benefit from these new systems and technologies, and to integrate different data sources, a flexible method consists in populating an existing OWL ontology from XML data. In paper we present such a method based on the definition of a graph which represents rules that drive the populating proc…

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]ontology enrichment[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]XML data[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]Ontology populationOWL ontologysemantic annotationRDFsemantic annotation.
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ProcMiner: Advancing Process Analysis and Management

2007

This paper contributes both to research and practice on process mining. Previous research on process mining has focused on mining patterns from event log files to generate process models. The process mining approach adopted in this paper is focused on producing patterns about process models, not the models themselves. The approach is demonstrated by ProcMiner -an explorative research prototype for management, consolidating, publishing, retrieving, and analyzing process models. Content-based document clustering is applied to process models represented as XML database in order to find topical groups from models. In practice, organizations face numerous challenges in managing their process mod…

klusterointiProcess modelingprosessitiedon analysontiEvent (computing)Computer sciencecomputer.internet_protocolprocess miningProcess miningDocument clusteringXMLcomputer.software_genreData scienceprosessijohtaminendocument clusteringConsistency (database systems)XML databaseQuality management systemprosessien hallintacomputerXML
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