A Matching Algorithm for Electronic Data Interchange

Rifaieh, Rami; Chukmol, Uddam; Benharkat, Nabila

doi:10.1007/11607380_4

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…We carried out the analysis of text using the technique described in [16] and [18]: the vector space model. This technique has been used in a similar manner in [17], but in our paper we use the statistic term frequency-inverse document frequency. This technique associates a mathematical equivalence to any text, i.e., n-dimensional vector where n is the numbers of …”

Section: Semantic Conflict Analysismentioning

confidence: 99%

NDT-merge

García-García

Cuaresma

Ravel

et al. 2012

Proceedings of the 14th International Conference on Information Integration and Web-Based Applications &Amp; Services

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Requirements conciliation can result one of the most expensive and critical tasks in Web development. It particularly depends on analysts' experiences since very frequently they have to use manual solution to cope with requirements conciliation. After some previous work presenting an approach oriented towards Web requirements conciliation, this paper proposes a tool for executing this task. It is based on the Model-driven paradigm and it is included in the context of NDT (Navigational Development Techniques) methodology.

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Section: Semantic Conflict Analysismentioning

confidence: 99%

NDT-merge

García-García

Cuaresma

Ravel

et al. 2012

Proceedings of the 14th International Conference on Information Integration and Web-Based Applications &Amp; Services

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“…In this domain, semantic schema matching research has extensively grown, and many matching systems have been developed [3], [4], [5], [6], [7], [8], [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Refinement of Correspondences in EXSMAL for XML Document Transformation

Khaled

Benharkat

Amghar

17th International Conference on Database and Expert Systems Applications (DEXA'06)

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Schema matching is an important prerequisite to the transformation of XML documents with different schemas.In this work, we are interested in the process of matching between data schemes in order to transform documents XML. After explaining related works in the domain, we choose the EXSMAL Algorithm to generate a set of correspondences. Then we try to filter this set in order to obtain 1-1 correspondences. In this purpose, two calculations of similarity are applied: Path similarity and internal similarity. This refinement helps to facilitate the transformation of the documents XML. We also base on a dynamic ontology updated by a user feedback which describes the semantic relation between nodes like IsA, PartOf, Similar, etc. These semantic relations are then expressed in LIMXS data model. The transformation will use operations such as: Connect and Rename for the simple matching, Merge and Split for the complex ones.

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