Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data
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 d...
| Autores principales: | , , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2011
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/127418 |
| Aporte de: |
| id |
I19-R120-10915-127418 |
|---|---|
| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| 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 |
| spellingShingle |
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 Torres, Diego Díaz, Alicia Skaf-Molli, Hala Molli, Pascal Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data |
| topic_facet |
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 |
| 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. |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
Torres, Diego Díaz, Alicia Skaf-Molli, Hala Molli, Pascal |
| author_facet |
Torres, Diego Díaz, Alicia Skaf-Molli, Hala Molli, Pascal |
| author_sort |
Torres, Diego |
| title |
Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data |
| 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 |
| publishDate |
2011 |
| url |
http://sedici.unlp.edu.ar/handle/10915/127418 |
| work_keys_str_mv |
AT torresdiego semdropsasocialsemantictaggingapproachforemergingsemanticdata AT diazalicia semdropsasocialsemantictaggingapproachforemergingsemanticdata AT skafmollihala semdropsasocialsemantictaggingapproachforemergingsemanticdata AT mollipascal semdropsasocialsemantictaggingapproachforemergingsemanticdata |
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Repositorios |
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