SVG-to-RDF image semantization
The goal of this work is to provide an original (semi-automatic) annotation framework titled SVG-to-RDF whichconverts a collection of raw Scalable vector graphic (SVG) images into a searchable semantic-based RDF graph structure that encodes relevant features and contents. Using a dedicated knowledge...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| التنسيق: | conferenceObject |
| منشور في: |
2014
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| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/5872 http://dx.doi.org/10.1007/978-3-319-11988-5_20 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/978-3-319-11988-5_20 |
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| _version_ | 1864513478169985024 |
|---|---|
| author | Salameh, Khouloud |
| author2 | Tekli, Joe Chbeir, Richard |
| author2_role | author author |
| author_facet | Salameh, Khouloud Tekli, Joe Chbeir, Richard |
| author_role | author |
| dc.creator.none.fl_str_mv | Salameh, Khouloud Tekli, Joe Chbeir, Richard |
| dc.date.none.fl_str_mv | 2014 2017-07-05T07:26:03Z 2017-07-05T07:26:03Z |
| dc.identifier.none.fl_str_mv | 9783319119885 http://hdl.handle.net/10725/5872 http://dx.doi.org/10.1007/978-3-319-11988-5_20 Salameh, K., Tekli, J., & Chbeir, R. (2014). SVG-to-RDF image semantization. In Similarity Search and Applications: 7th International Conference, SISAP 2014, Los Cabos, Mexico, October 29-31, 2014. Proceedings 7 (pp. 214-228). Springer International Publishing. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/978-3-319-11988-5_20 |
| 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 8821 |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | SVG-to-RDF image semantization |
| dc.type.none.fl_str_mv | Conference Paper / Proceeding info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
| description | The goal of this work is to provide an original (semi-automatic) annotation framework titled SVG-to-RDF whichconverts a collection of raw Scalable vector graphic (SVG) images into a searchable semantic-based RDF graph structure that encodes relevant features and contents. Using a dedicated knowledge base, SVG-to-RDF offers the user possible semantic annotations for each geometric object in the image, based on a combination of shape, color, and position similarity measures. Our method presents several advantages, namely i) achieving complete semantization of image content, ii) allowing semantic-based data search and processing using standard RDF technologies, iii) while being compliant with Web standards (i.e., SVG and RDF) in displaying images and annotation results in any standard Web browser, as well as iv) coping with different application domains. Our solution is of linear complexity in the size of the image and knowledge base structures used. Using our prototype SVG2RDF, several experiments have been conducted on a set of panoramic dental x-ray images to underline our approach’s effectiveness, and its applicability to different application domains. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | LAURepo_2ca27cfe972451e5596a1ccce23693bf |
| identifier_str_mv | 9783319119885 Salameh, K., Tekli, J., & Chbeir, R. (2014). SVG-to-RDF image semantization. In Similarity Search and Applications: 7th International Conference, SISAP 2014, Los Cabos, Mexico, October 29-31, 2014. Proceedings 7 (pp. 214-228). Springer International Publishing. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/5872 |
| publishDate | 2014 |
| publisher.none.fl_str_mv | Springer |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | SVG-to-RDF image semantizationSalameh, KhouloudTekli, JoeChbeir, RichardThe goal of this work is to provide an original (semi-automatic) annotation framework titled SVG-to-RDF whichconverts a collection of raw Scalable vector graphic (SVG) images into a searchable semantic-based RDF graph structure that encodes relevant features and contents. Using a dedicated knowledge base, SVG-to-RDF offers the user possible semantic annotations for each geometric object in the image, based on a combination of shape, color, and position similarity measures. Our method presents several advantages, namely i) achieving complete semantization of image content, ii) allowing semantic-based data search and processing using standard RDF technologies, iii) while being compliant with Web standards (i.e., SVG and RDF) in displaying images and annotation results in any standard Web browser, as well as iv) coping with different application domains. Our solution is of linear complexity in the size of the image and knowledge base structures used. Using our prototype SVG2RDF, several experiments have been conducted on a set of panoramic dental x-ray images to underline our approach’s effectiveness, and its applicability to different application domains.N/A1 online resource (xviii, 302 pages) : illustrationsSpringer2017-07-05T07:26:03Z2017-07-05T07:26:03Z2014Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject9783319119885http://hdl.handle.net/10725/5872http://dx.doi.org/10.1007/978-3-319-11988-5_20Salameh, K., Tekli, J., & Chbeir, R. (2014). SVG-to-RDF image semantization. In Similarity Search and Applications: 7th International Conference, SISAP 2014, Los Cabos, Mexico, October 29-31, 2014. Proceedings 7 (pp. 214-228). Springer International Publishing.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://link.springer.com/chapter/10.1007/978-3-319-11988-5_20enLecture Notes in Computer Science8821info:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/58722025-04-02T09:21:23Z |
| spellingShingle | SVG-to-RDF image semantization Salameh, Khouloud |
| status_str | publishedVersion |
| title | SVG-to-RDF image semantization |
| title_full | SVG-to-RDF image semantization |
| title_fullStr | SVG-to-RDF image semantization |
| title_full_unstemmed | SVG-to-RDF image semantization |
| title_short | SVG-to-RDF image semantization |
| title_sort | SVG-to-RDF image semantization |
| url | http://hdl.handle.net/10725/5872 http://dx.doi.org/10.1007/978-3-319-11988-5_20 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/978-3-319-11988-5_20 |