Toward RDF normalization
Billions of RDF triples are currently available on the Web through the Linked Open Data cloud (e.g., DBpedia, LinkedGeoData and New York Times). Governments, universities as well as companies (e.g., BBC, CNN) are also producing huge collections of RDF triples and exchanging them through different se...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , |
| التنسيق: | conferenceObject |
| منشور في: |
2017
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| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/5871 http://dx.doi.org/ 10.1007/978-3-319-25264-3_19 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/978-3-319-25264-3_19 |
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| _version_ | 1864513478167887872 |
|---|---|
| author | Ticona-Herrera, Regina |
| author2 | Tekli, Joe Chbeir, Richard Laborie, Sebastien Dongo, Irvin Guzman, Renato |
| author2_role | author author author author author |
| author_facet | Ticona-Herrera, Regina Tekli, Joe Chbeir, Richard Laborie, Sebastien Dongo, Irvin Guzman, Renato |
| author_role | author |
| dc.creator.none.fl_str_mv | Ticona-Herrera, Regina Tekli, Joe Chbeir, Richard Laborie, Sebastien Dongo, Irvin Guzman, Renato |
| dc.date.none.fl_str_mv | 2017-07-05T07:13:36Z 2017-07-05T07:13:36Z 2017-07-05 |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10725/5871 http://dx.doi.org/ 10.1007/978-3-319-25264-3_19 Ticona-Herrera, R., Tekli, J., Chbeir, R., Laborie, S., Dongo, I., & Guzman, R. (2015, October). Toward RDF normalization. In International Conference on Conceptual Modeling (pp. 261-275). Springer International Publishing. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/978-3-319-25264-3_19 |
| 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 9381 |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Toward RDF normalization |
| dc.type.none.fl_str_mv | Conference Paper / Proceeding info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
| description | Billions of RDF triples are currently available on the Web through the Linked Open Data cloud (e.g., DBpedia, LinkedGeoData and New York Times). Governments, universities as well as companies (e.g., BBC, CNN) are also producing huge collections of RDF triples and exchanging them through different serialization formats (e.g., RDF/XML, Turtle, N-Triple, etc.). However, RDF descriptions (i.e., graphs and serializations) are verbose in syntax, often contain redundancies, and could be generated differently even when describing the same resources, which would have a negative impact on their processing. Hence, we propose here an approach to clean and eliminate redundancies from such RDF descriptions as a means of transforming different descriptions of the same information into one representation, which can then be tuned, depending on the target application (information retrieval, compression, etc.). Experimental tests show significant improvements, namely in reducing RDF description loading time and file size. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | LAURepo_a34167e812b7ab4b320a73e8c8fb3a5e |
| identifier_str_mv | Ticona-Herrera, R., Tekli, J., Chbeir, R., Laborie, S., Dongo, I., & Guzman, R. (2015, October). Toward RDF normalization. In International Conference on Conceptual Modeling (pp. 261-275). 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:10725/5871 |
| publishDate | 2017 |
| publisher.none.fl_str_mv | Springer |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Toward RDF normalizationTicona-Herrera, ReginaTekli, JoeChbeir, RichardLaborie, SebastienDongo, IrvinGuzman, RenatoBillions of RDF triples are currently available on the Web through the Linked Open Data cloud (e.g., DBpedia, LinkedGeoData and New York Times). Governments, universities as well as companies (e.g., BBC, CNN) are also producing huge collections of RDF triples and exchanging them through different serialization formats (e.g., RDF/XML, Turtle, N-Triple, etc.). However, RDF descriptions (i.e., graphs and serializations) are verbose in syntax, often contain redundancies, and could be generated differently even when describing the same resources, which would have a negative impact on their processing. Hence, we propose here an approach to clean and eliminate redundancies from such RDF descriptions as a means of transforming different descriptions of the same information into one representation, which can then be tuned, depending on the target application (information retrieval, compression, etc.). Experimental tests show significant improvements, namely in reducing RDF description loading time and file size.N/A1 online resource (xxi, 614 pages) : illustrationsSpringer2017-07-05T07:13:36Z2017-07-05T07:13:36Z2017-07-05Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10725/5871http://dx.doi.org/ 10.1007/978-3-319-25264-3_19Ticona-Herrera, R., Tekli, J., Chbeir, R., Laborie, S., Dongo, I., & Guzman, R. (2015, October). Toward RDF normalization. In International Conference on Conceptual Modeling (pp. 261-275). Springer International Publishing.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://link.springer.com/chapter/10.1007/978-3-319-25264-3_19enLecture Notes in Computer Science9381info:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/58712025-03-27T10:18:10Z |
| spellingShingle | Toward RDF normalization Ticona-Herrera, Regina |
| status_str | publishedVersion |
| title | Toward RDF normalization |
| title_full | Toward RDF normalization |
| title_fullStr | Toward RDF normalization |
| title_full_unstemmed | Toward RDF normalization |
| title_short | Toward RDF normalization |
| title_sort | Toward RDF normalization |
| url | http://hdl.handle.net/10725/5871 http://dx.doi.org/ 10.1007/978-3-319-25264-3_19 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/978-3-319-25264-3_19 |