Toward approximate GML retrieval based on structural and semantic characteristics

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dc.contributor.author Tekli, Joe
dc.contributor.author Chbeir, Richard
dc.contributor.author Ferri, Fernando
dc.contributor.author Grifoni, Patrizia
dc.date.accessioned 2017-07-04T09:44:53Z
dc.date.available 2017-07-04T09:44:53Z
dc.date.issued 2017-07-04
dc.identifier.uri http://hdl.handle.net/10725/5863
dc.description.abstract GML is emerging as the new standard for representing geographic information in GISs on the Web, allowing the encoding of structurally and semantically rich geographic data in self describing XML-based geographic entities. In this study, we address the problem of approximate querying and ranked results for GML data and provide a method for GML query evaluation. Our method consists of two main contributions. First, we propose a tree model for representing GML queries and data collections. Then, we introduce a GML retrieval method based on the concept of tree edit distance as an efficient means for comparing semi-structured data. Our approach allows the evaluation of both structural and semantic similarities in GML data, enabling the user to tune the querying process according to her needs. The user can also choose to perform either template querying, taking into account all elements in the query and data trees, or minimal constraint querying, considering only those elements required by the query (disregarding additional data elements), in the similarity evaluation process. An experimental prototype was implemented to test and validate our method. Results are promising. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.title Toward approximate GML retrieval based on structural and semantic characteristics en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SOE en_US
dc.author.idnumber 201306321joe en_US
dc.author.department Electrical And Computer Engineering en_US
dc.description.embargo N/A en_US
dc.keywords GML Search en_US
dc.keywords Ranked Retrieval en_US
dc.keywords Structural & Semantic Similarity en_US
dc.keywords GIS en_US
dc.identifier.doi http://dx.doi.org/10.1007/978-3-642-13911-6_2 en_US
dc.identifier.ctation Tekli, J., Chbeir, R., Ferri, F., & Grifoni, P. (2010, July). Toward approximate GML retrieval based on structural and semantic characteristics. In International Conference on Web Engineering (pp. 16-34). Springer, Berlin, Heidelberg. en_US
dc.author.email joe.tekli@lau.edu.lb en_US
dc.conference.date 5-9 July 2010 en_US
dc.conference.pages 16-34 en_US
dc.conference.place Vienna, Austria en_US
dc.conference.title International Conference on Web Engineering en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://link.springer.com/chapter/10.1007/978-3-642-13911-6_2 en_US
dc.author.affiliation Lebanese American University en_US

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