Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data
- Autores
- Torres, Diego; Díaz, Alicia; Skaf-Molli, Hala; Molli, Pascal
- Año de publicación
- 2011
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- This paper proposes a collective intelligence strategy for emerging semantic data. It presents a combination of social web practices with semantic web technologies to enrich existing web resources with semantic data. The paper introduces a social semantic tagging approach called Semdrops. Semdrops defines a conceptual model which is an extension of the Gruber's tag model where the tag concept is extended to semantic tag. Semdrops is implemented as a Firefox add-on tool that turns the web browser into a collaborative semantic data editor. To validate Semdrops's approach, we conducted an evaluation and usability studies and compared the results with automatic generation methods of semantic data such as DBpedia. The studies demonstrated that Semdrops is an effective and complementary approach to produce adequate semantic data on the Web.
Laboratorio de Investigación y Formación en Informática Avanzada - Materia
-
Ciencias Informáticas
World wide web
Semantic analytics
Data web
Semantic search
Semantic web
Information retrieval
Computer science
Social web
Semantic computing
Social semantic web
Web intelligence
Semantic technology
Linked data
Semantic web rule language
Collective intelligence
Semantic data model - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/127418
Ver los metadatos del registro completo
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Semdrops: A Social Semantic Tagging Approach for Emerging Semantic DataTorres, DiegoDíaz, AliciaSkaf-Molli, HalaMolli, PascalCiencias InformáticasWorld wide webSemantic analyticsData webSemantic searchSemantic webInformation retrievalComputer scienceSocial webSemantic computingSocial semantic webWeb intelligenceSemantic technologyLinked dataSemantic web rule languageCollective intelligenceSemantic data modelThis paper proposes a collective intelligence strategy for emerging semantic data. It presents a combination of social web practices with semantic web technologies to enrich existing web resources with semantic data. The paper introduces a social semantic tagging approach called Semdrops. Semdrops defines a conceptual model which is an extension of the Gruber's tag model where the tag concept is extended to semantic tag. Semdrops is implemented as a Firefox add-on tool that turns the web browser into a collaborative semantic data editor. To validate Semdrops's approach, we conducted an evaluation and usability studies and compared the results with automatic generation methods of semantic data such as DBpedia. The studies demonstrated that Semdrops is an effective and complementary approach to produce adequate semantic data on the Web.Laboratorio de Investigación y Formación en Informática Avanzada2011info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf340-347http://sedici.unlp.edu.ar/handle/10915/127418enginfo:eu-repo/semantics/altIdentifier/doi/10.1109/wi-iat.2011.51info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:02:48Zoai:sedici.unlp.edu.ar:10915/127418Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:02:48.868SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data |
title |
Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data |
spellingShingle |
Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data Torres, Diego Ciencias Informáticas World wide web Semantic analytics Data web Semantic search Semantic web Information retrieval Computer science Social web Semantic computing Social semantic web Web intelligence Semantic technology Linked data Semantic web rule language Collective intelligence Semantic data model |
title_short |
Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data |
title_full |
Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data |
title_fullStr |
Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data |
title_full_unstemmed |
Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data |
title_sort |
Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data |
dc.creator.none.fl_str_mv |
Torres, Diego Díaz, Alicia Skaf-Molli, Hala Molli, Pascal |
author |
Torres, Diego |
author_facet |
Torres, Diego Díaz, Alicia Skaf-Molli, Hala Molli, Pascal |
author_role |
author |
author2 |
Díaz, Alicia Skaf-Molli, Hala Molli, Pascal |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas World wide web Semantic analytics Data web Semantic search Semantic web Information retrieval Computer science Social web Semantic computing Social semantic web Web intelligence Semantic technology Linked data Semantic web rule language Collective intelligence Semantic data model |
topic |
Ciencias Informáticas World wide web Semantic analytics Data web Semantic search Semantic web Information retrieval Computer science Social web Semantic computing Social semantic web Web intelligence Semantic technology Linked data Semantic web rule language Collective intelligence Semantic data model |
dc.description.none.fl_txt_mv |
This paper proposes a collective intelligence strategy for emerging semantic data. It presents a combination of social web practices with semantic web technologies to enrich existing web resources with semantic data. The paper introduces a social semantic tagging approach called Semdrops. Semdrops defines a conceptual model which is an extension of the Gruber's tag model where the tag concept is extended to semantic tag. Semdrops is implemented as a Firefox add-on tool that turns the web browser into a collaborative semantic data editor. To validate Semdrops's approach, we conducted an evaluation and usability studies and compared the results with automatic generation methods of semantic data such as DBpedia. The studies demonstrated that Semdrops is an effective and complementary approach to produce adequate semantic data on the Web. Laboratorio de Investigación y Formación en Informática Avanzada |
description |
This paper proposes a collective intelligence strategy for emerging semantic data. It presents a combination of social web practices with semantic web technologies to enrich existing web resources with semantic data. The paper introduces a social semantic tagging approach called Semdrops. Semdrops defines a conceptual model which is an extension of the Gruber's tag model where the tag concept is extended to semantic tag. Semdrops is implemented as a Firefox add-on tool that turns the web browser into a collaborative semantic data editor. To validate Semdrops's approach, we conducted an evaluation and usability studies and compared the results with automatic generation methods of semantic data such as DBpedia. The studies demonstrated that Semdrops is an effective and complementary approach to produce adequate semantic data on the Web. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/127418 |
url |
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dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1109/wi-iat.2011.51 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf 340-347 |
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13.13397 |