A hybrid approach for XML similarity

In the past few years, XML has been established as an effective means for information management, and has been widely exploited for complex data representation. Owing to an unparalleled increasing use of the XML standard, developing efficient techniques for comparing XML-based documents becomes esse...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Tekli, Joe (author)
مؤلفون آخرون: Chbeir, Richard (author), Yetongnon, Kokou (author)
التنسيق: conferenceObject
منشور في: 2007
الوصول للمادة أونلاين:http://hdl.handle.net/10725/7058
https://doi.org/10.1007/978-3-540-69507-3_68
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://link.springer.com/chapter/10.1007/978-3-540-69507-3_68
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author Tekli, Joe
author2 Chbeir, Richard
Yetongnon, Kokou
author2_role author
author
author_facet Tekli, Joe
Chbeir, Richard
Yetongnon, Kokou
author_role author
dc.creator.none.fl_str_mv Tekli, Joe
Chbeir, Richard
Yetongnon, Kokou
dc.date.none.fl_str_mv 2007
2007
2018-02-08T13:27:48Z
2018-02-08T13:27:48Z
dc.identifier.none.fl_str_mv 9783540695073
http://hdl.handle.net/10725/7058
https://doi.org/10.1007/978-3-540-69507-3_68
Tekli, J., Chbeir, R., & Yetongnon, K. (2007, January). A hybrid approach for xml similarity. In International Conference on Current Trends in Theory and Practice of Computer Science (pp. 783-795). Berlin, Heidelberg: Springer Berlin Heidelberg.
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://link.springer.com/chapter/10.1007/978-3-540-69507-3_68
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv Springer
dc.relation.none.fl_str_mv Lecture Notes in Computer Science
vol. 4362
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.title.none.fl_str_mv A hybrid approach for XML similarity
dc.type.none.fl_str_mv Conference Paper / Proceeding
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
description In the past few years, XML has been established as an effective means for information management, and has been widely exploited for complex data representation. Owing to an unparalleled increasing use of the XML standard, developing efficient techniques for comparing XML-based documents becomes essential in information retrieval (IR) research. Various algorithms for comparing hierarchically structured data, e.g. XML documents, have been proposed in the literature. However, to our knowledge, most of them focus exclusively on comparing documents based on structural features, overlooking the semantics involved. In this paper, we integrate IR semantic similarity assessment in an edit distance algorithm, seeking to amend similarity judgments when comparing XML-based documents. Our approach comprises of an original edit distance operation cost model, introducing semantic relatedness of XML element/attribute labels, in traditional edit distance computations. A prototype has been developed to evaluate our model’s performance. Experiments yielded notable results.
eu_rights_str_mv openAccess
format conferenceObject
id LAURepo_c2cce095460ee8e4a5a62f9bd6983e5f
identifier_str_mv 9783540695073
Tekli, J., Chbeir, R., & Yetongnon, K. (2007, January). A hybrid approach for xml similarity. In International Conference on Current Trends in Theory and Practice of Computer Science (pp. 783-795). Berlin, Heidelberg: Springer Berlin Heidelberg.
language_invalid_str_mv en
network_acronym_str LAURepo
network_name_str Lebanese American University repository
oai_identifier_str oai:laur.lau.edu.lb:10725/7058
publishDate 2007
publisher.none.fl_str_mv Springer
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spelling A hybrid approach for XML similarityTekli, JoeChbeir, RichardYetongnon, KokouIn the past few years, XML has been established as an effective means for information management, and has been widely exploited for complex data representation. Owing to an unparalleled increasing use of the XML standard, developing efficient techniques for comparing XML-based documents becomes essential in information retrieval (IR) research. Various algorithms for comparing hierarchically structured data, e.g. XML documents, have been proposed in the literature. However, to our knowledge, most of them focus exclusively on comparing documents based on structural features, overlooking the semantics involved. In this paper, we integrate IR semantic similarity assessment in an edit distance algorithm, seeking to amend similarity judgments when comparing XML-based documents. Our approach comprises of an original edit distance operation cost model, introducing semantic relatedness of XML element/attribute labels, in traditional edit distance computations. A prototype has been developed to evaluate our model’s performance. Experiments yielded notable results.N/ASpringer2018-02-08T13:27:48Z2018-02-08T13:27:48Z20072007Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject9783540695073http://hdl.handle.net/10725/7058https://doi.org/10.1007/978-3-540-69507-3_68Tekli, J., Chbeir, R., & Yetongnon, K. (2007, January). A hybrid approach for xml similarity. In International Conference on Current Trends in Theory and Practice of Computer Science (pp. 783-795). Berlin, Heidelberg: Springer Berlin Heidelberg.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://link.springer.com/chapter/10.1007/978-3-540-69507-3_68enLecture Notes in Computer Sciencevol. 4362info:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/70582024-08-28T12:53:54Z
spellingShingle A hybrid approach for XML similarity
Tekli, Joe
status_str publishedVersion
title A hybrid approach for XML similarity
title_full A hybrid approach for XML similarity
title_fullStr A hybrid approach for XML similarity
title_full_unstemmed A hybrid approach for XML similarity
title_short A hybrid approach for XML similarity
title_sort A hybrid approach for XML similarity
url http://hdl.handle.net/10725/7058
https://doi.org/10.1007/978-3-540-69507-3_68
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://link.springer.com/chapter/10.1007/978-3-540-69507-3_68