Toward Approximate GML Retrieval Based on Structural and Semantic Characteristics
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 resul...
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2010
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| Online Access: | http://hdl.handle.net/10725/5863 http://dx.doi.org/10.1007/978-3-642-13911-6_2 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/978-3-642-13911-6_2 |
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| _version_ | 1864513478157402112 |
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| author | Tekli, Joe |
| author2 | Chbeir, Richard Ferri, Fernando Grifoni, Patrizia |
| author2_role | author author author |
| author_facet | Tekli, Joe Chbeir, Richard Ferri, Fernando Grifoni, Patrizia |
| author_role | author |
| dc.creator.none.fl_str_mv | Tekli, Joe Chbeir, Richard Ferri, Fernando Grifoni, Patrizia |
| dc.date.none.fl_str_mv | 2010 2017-07-04T09:44:53Z 2017-07-04T09:44:53Z |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10725/5863 http://dx.doi.org/10.1007/978-3-642-13911-6_2 Tekli, J., Chbeir, R., Ferri, F., & Grifoni, P. (2010). Toward approximate GML retrieval based on structural and semantic characteristics. In Web Engineering: 10th International Conference, ICWE 2010, Vienna Austria, July 5-9, 2010. Proceedings 10 (pp. 16-34). Springer Berlin Heidelberg. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/978-3-642-13911-6_2 |
| 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 6189 |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Toward Approximate GML Retrieval Based on Structural and Semantic Characteristics |
| dc.type.none.fl_str_mv | Conference Paper / Proceeding info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
| description | 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. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | LAURepo_4f2c8d1e1a10784d26cd2e56eb0c0ce2 |
| identifier_str_mv | Tekli, J., Chbeir, R., Ferri, F., & Grifoni, P. (2010). Toward approximate GML retrieval based on structural and semantic characteristics. In Web Engineering: 10th International Conference, ICWE 2010, Vienna Austria, July 5-9, 2010. Proceedings 10 (pp. 16-34). 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:10725/5863 |
| publishDate | 2010 |
| publisher.none.fl_str_mv | Springer |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Toward Approximate GML Retrieval Based on Structural and Semantic CharacteristicsTekli, JoeChbeir, RichardFerri, FernandoGrifoni, PatriziaGML 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.N/A1 online resource (xv, 534 pages)Springer2017-07-04T09:44:53Z2017-07-04T09:44:53Z2010Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10725/5863http://dx.doi.org/10.1007/978-3-642-13911-6_2Tekli, J., Chbeir, R., Ferri, F., & Grifoni, P. (2010). Toward approximate GML retrieval based on structural and semantic characteristics. In Web Engineering: 10th International Conference, ICWE 2010, Vienna Austria, July 5-9, 2010. Proceedings 10 (pp. 16-34). Springer Berlin Heidelberg.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://link.springer.com/chapter/10.1007/978-3-642-13911-6_2enLecture notes in computer science6189info:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/58632025-03-19T14:46:59Z |
| spellingShingle | Toward Approximate GML Retrieval Based on Structural and Semantic Characteristics Tekli, Joe |
| status_str | publishedVersion |
| title | Toward Approximate GML Retrieval Based on Structural and Semantic Characteristics |
| title_full | Toward Approximate GML Retrieval Based on Structural and Semantic Characteristics |
| title_fullStr | Toward Approximate GML Retrieval Based on Structural and Semantic Characteristics |
| title_full_unstemmed | Toward Approximate GML Retrieval Based on Structural and Semantic Characteristics |
| title_short | Toward Approximate GML Retrieval Based on Structural and Semantic Characteristics |
| title_sort | Toward Approximate GML Retrieval Based on Structural and Semantic Characteristics |
| url | http://hdl.handle.net/10725/5863 http://dx.doi.org/10.1007/978-3-642-13911-6_2 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/978-3-642-13911-6_2 |