Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying
Many efforts have been deployed by the IR community to extend freetext query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords p...
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2023
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| Online Access: | http://hdl.handle.net/10725/15998 https://doi.org/10.2298/CSIS220228063T http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://doiserbia.nb.rs/Article.aspx?id=1820-02142200063T |
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| _version_ | 1864513471848120320 |
|---|---|
| author | Tekli, Joe |
| author2 | Tekli, Gilbert Chbeir, Richard |
| author2_role | author author |
| author_facet | Tekli, Joe Tekli, Gilbert Chbeir, Richard |
| author_role | author |
| dc.creator.none.fl_str_mv | Tekli, Joe Tekli, Gilbert Chbeir, Richard |
| dc.date.none.fl_str_mv | 2023 2023 2024-08-20T10:47:53Z 2024-08-20T10:47:53Z |
| dc.identifier.none.fl_str_mv | 2406-1018 http://hdl.handle.net/10725/15998 https://doi.org/10.2298/CSIS220228063T Tekli, J., Tekli, G., & Chbeir, R. (2023). Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying. Computer Science and Information Systems, 20(1), 423-457. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://doiserbia.nb.rs/Article.aspx?id=1820-02142200063T |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Computer Science and Information Systems |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | Many efforts have been deployed by the IR community to extend freetext query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. Yet, few of the existing approaches consider XML semantics, and the methods that process semantics generally rely on computationally expensive word sense disambiguation (WSD) techniques, or apply semantic analysis in one stage only: performing query relaxation/refinement over the bag of words retrieval model, to reduce processing time. In this paper, we describe a new approach for XML keyword search aiming to solve the limitations mentioned above. Our solution first transforms the XML document collection (offline) and the keyword query (on-the-fly) into meaningful semantic representations using context-based and global disambiguation methods, specially designed to allow almost linear computation efficiency. We use a semantic-aware inverted index to allow semantic-aware search, result selection, and result ranking functionality. The semantically augmented XML data tree is processed for structural node clustering, based on semantic query concepts (i.e., key-concepts), in order to identify and rank candidate answer sub-trees containing related occurrences of query key-concepts. Dedicated weighting functions and various search algorithms have been developed for that purpose and will be presented here. Experimental results highlight the quality and potential of our approach. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | LAURepo_cd181e1fdc0fab5a5b64285ef138d1f7 |
| identifier_str_mv | 2406-1018 Tekli, J., Tekli, G., & Chbeir, R. (2023). Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying. Computer Science and Information Systems, 20(1), 423-457. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/15998 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Combining offline and on-the-fly disambiguation to perform semantic-aware XML queryingTekli, JoeTekli, GilbertChbeir, RichardMany efforts have been deployed by the IR community to extend freetext query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. Yet, few of the existing approaches consider XML semantics, and the methods that process semantics generally rely on computationally expensive word sense disambiguation (WSD) techniques, or apply semantic analysis in one stage only: performing query relaxation/refinement over the bag of words retrieval model, to reduce processing time. In this paper, we describe a new approach for XML keyword search aiming to solve the limitations mentioned above. Our solution first transforms the XML document collection (offline) and the keyword query (on-the-fly) into meaningful semantic representations using context-based and global disambiguation methods, specially designed to allow almost linear computation efficiency. We use a semantic-aware inverted index to allow semantic-aware search, result selection, and result ranking functionality. The semantically augmented XML data tree is processed for structural node clustering, based on semantic query concepts (i.e., key-concepts), in order to identify and rank candidate answer sub-trees containing related occurrences of query key-concepts. Dedicated weighting functions and various search algorithms have been developed for that purpose and will be presented here. Experimental results highlight the quality and potential of our approach.Published2024-08-20T10:47:53Z2024-08-20T10:47:53Z20232023Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2406-1018http://hdl.handle.net/10725/15998https://doi.org/10.2298/CSIS220228063TTekli, J., Tekli, G., & Chbeir, R. (2023). Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying. Computer Science and Information Systems, 20(1), 423-457.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://doiserbia.nb.rs/Article.aspx?id=1820-02142200063TenComputer Science and Information Systemsinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/159982024-08-20T10:48:06Z |
| spellingShingle | Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying Tekli, Joe |
| status_str | publishedVersion |
| title | Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying |
| title_full | Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying |
| title_fullStr | Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying |
| title_full_unstemmed | Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying |
| title_short | Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying |
| title_sort | Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying |
| url | http://hdl.handle.net/10725/15998 https://doi.org/10.2298/CSIS220228063T http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://doiserbia.nb.rs/Article.aspx?id=1820-02142200063T |