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{ "@xmlns": "http://www.w3.org/2005/Atom", "@xmlns:codemeta": "https://doi.org/10.5063/SCHEMA/CODEMETA-2.0", "author": { "email": "hal@ccsd.cnrs.fr", "name": "HAL" }, "client": "hal", "codemeta:applicationCategory": "info.info-wb", "codemeta:author": [ { "codemeta:affiliation": "BIT Lab", "codemeta:name": "Cihan Aksoy" }, { "codemeta:affiliation": "BIT Lab", "codemeta:name": "Koray Mancuhan" }, { "codemeta:affiliation": "BIT Lab", "codemeta:name": "Vincent Labatut" } ], "codemeta:codeRepository": "https://github.com/vlabatut/mataws", "codemeta:contributor": "Vincent Labatut", "codemeta:dateCreated": "2010", "codemeta:datePublished": "2019-06-14T15:02:43+02:00", "codemeta:description": "Mataws (Multimodal Automatic Tool for the Annotation of WS (Mataws) is a Java program allowing to automatically and semantically annotate a collection of syntactic Web services (WS) descriptions. It takes a set of WSDL files as input, and outputs a set of OWL-S files. It was developped by Cihan Aksoy and Koray Man{\\c c}uhan in 2010, and Cihan alone in 2011 (the development is currently still going on), at the Complex Networks Lab of the Galatasaray University (Istanbul, Turkey).It uses the tool WS-NEXT to retrieve parameter and type names from the WSDL files, and after some processing, it associates a concept using the open source tool Sigma. Sigma is a mapping of the WordNet dictionnary to the SUMO (Suggested Upper Merged Ontology) ontology. It then generates a new OWL-S file which contains the original WSDL information plus the result of the annotation. Note only the parameters are annotated.", "codemeta:developmentStatus": "Inactif", "codemeta:keywords": "Web Services,Annotation,WSDL", "codemeta:license": { "codemeta:name": "GNU General Public License v2.0 only" }, "codemeta:name": "MATAWS - Multimodal Automatic Tool for the Annotation of Web Service Descriptions", "codemeta:programmingLanguage": "Java", "codemeta:softwareVersion": "1.4.0", "codemeta:url": "https://hal.archives-ouvertes.fr/hal-01937857", "codemeta:version": "1", "external_identifier": "hal-01937857", "id": "hal-01937857", "original_artifact": [ { "archive_type": "zip", "blake2s256": "5c0daa19fd5c39b48620e1356407404124657a2820d3f88b40781ddf716c6882", "length": 58326529, "name": "archive.zip", "sha1": "03f6787e38c2e2cfd1b78a0f49a1624bd3d53da7", "sha1_git": "e4d46617dd89f9dce3402f695a9e6f344941e216", "sha256": "46155fa6c2f6352a367a964a711d2a535d2f07f5144fb1b7c78d94eb705ed958" } ] }
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File | Mode | Size |
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wordsEnglish.ser | -rw-r--r-- | 668.3 KB |
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