Resolving XML semantic ambiguity

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dc.contributor.author Tekli, Joe
dc.contributor.author Charbel, Nathalie
dc.contributor.author Chbeir, Richard
dc.contributor.author Tekli, Gilbert
dc.date.accessioned 2017-07-05T07:59:00Z
dc.date.available 2017-07-05T07:59:00Z
dc.date.issued 2017-07-05
dc.identifier.uri http://hdl.handle.net/10725/5873
dc.description.abstract XML semantic-aware processing has become a motivating and important challenge in Web data management, data processing, and information retrieval. While XML data is semi-structured, yet it remains prone to lexical ambiguity, and thus requires dedicated semantic analysis and sense disambiguation processes to assign well-defined meaning to XML elements and attributes. This becomes crucial in an array of applications ranging over semantic-aware query rewriting, semantic document clustering and classification, schema matching, as well as blog analysis and event detection in social networks and tweets. Most existing approaches in this context: i) ignore the problem of identifying ambiguous XML nodes, ii) only partially consider their structural relations/context, iii) use syntactic information in processing XML data regardless of the semantics involved, and iv) are static in adopting fixed disambiguation constraints thus limiting user involvement. In this paper, we provide a new XML Semantic Disambiguation Framework titled XSDF designed to address each of the above motivations, taking as input: an XML document and a general purpose semantic network, and then producing as output a semantically augmented XML tree made of unambiguous semantic concepts. Experiments demonstrate the effectiveness of our approach in comparison with alternative methods. en_US
dc.language.iso en en_US
dc.title Resolving XML semantic ambiguity en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SOE en_US
dc.author.idnumber 201306321 en_US
dc.author.department Electrical And Computer Engineering en_US
dc.description.embargo N/A en_US
dc.keywords XML en_US
dc.keywords Semantic-aware processing en_US
dc.keywords Ambiguity degree en_US
dc.keywords Sphere neighborhood en_US
dc.keywords XML context vector en_US
dc.keywords Semantic network en_US
dc.keywords Semantic disambiguation en_US
dc.identifier.doi http://dx.doi.org/10.5441/002/edbt.2015.25 en_US
dc.identifier.ctation Charbel, N., Tekli, J., Chbeir, R., & Tekli, G. (2015, March). Resolving XML Semantic Ambiguity. In EDBT (pp. 277-288). en_US
dc.author.email joe.tekli@lau.edu.lb en_US
dc.conference.date 23-27 March 2015 en_US
dc.conference.pages 277-288 en_US
dc.conference.place Belgium en_US
dc.conference.title 18th International Conference on Extending Database Technology en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://openproceedings.org/2015/conf/edbt/paper-182.pdf en_US
dc.author.affiliation Lebanese American University en_US

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