Semantic enrichment of social annotations for Web resource classification
- Autores
- Tommasel, Antonela; Godoy, Daniela Lis
- Año de publicación
- 2012
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Social annotations voluntarily provided by users in tagging or book-marking sites such as Delicious or Flickr have been recognized as an interesting source of metadata for assisting tasks such as classification of Web resources. However, the open-ended nature of the tags employed to annotate resources leads to problems such as the introduction of noise and ambiguity that may hinder clas- sification results. This paper presents an approach for semantically analyse social annotations in order to attain enriched, concept-based representations of Web resources. Experimental results showed that the strategies proposed to relate tags to conceptual entities allow to improve the results of resource classification.
Sociedad Argentina de Informática e Investigación Operativa - Materia
-
Ciencias Informáticas
Semantic enrichment
Social annotations
Web resource classification - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/123719
Ver los metadatos del registro completo
| id |
SEDICI_6047dcc27ae11bd8bdeec05ef81830f5 |
|---|---|
| oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/123719 |
| network_acronym_str |
SEDICI |
| repository_id_str |
1329 |
| network_name_str |
SEDICI (UNLP) |
| spelling |
Semantic enrichment of social annotations for Web resource classificationTommasel, AntonelaGodoy, Daniela LisCiencias InformáticasSemantic enrichmentSocial annotationsWeb resource classificationSocial annotations voluntarily provided by users in tagging or book-marking sites such as Delicious or Flickr have been recognized as an interesting source of metadata for assisting tasks such as classification of Web resources. However, the open-ended nature of the tags employed to annotate resources leads to problems such as the introduction of noise and ambiguity that may hinder clas- sification results. This paper presents an approach for semantically analyse social annotations in order to attain enriched, concept-based representations of Web resources. Experimental results showed that the strategies proposed to relate tags to conceptual entities allow to improve the results of resource classification.Sociedad Argentina de Informática e Investigación Operativa2012-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf35-47http://sedici.unlp.edu.ar/handle/10915/123719enginfo:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/4_ASAI_2012.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2784info: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:UNLP2025-09-29T11:29:39Zoai:sedici.unlp.edu.ar:10915/123719Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:29:39.544SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Semantic enrichment of social annotations for Web resource classification |
| title |
Semantic enrichment of social annotations for Web resource classification |
| spellingShingle |
Semantic enrichment of social annotations for Web resource classification Tommasel, Antonela Ciencias Informáticas Semantic enrichment Social annotations Web resource classification |
| title_short |
Semantic enrichment of social annotations for Web resource classification |
| title_full |
Semantic enrichment of social annotations for Web resource classification |
| title_fullStr |
Semantic enrichment of social annotations for Web resource classification |
| title_full_unstemmed |
Semantic enrichment of social annotations for Web resource classification |
| title_sort |
Semantic enrichment of social annotations for Web resource classification |
| dc.creator.none.fl_str_mv |
Tommasel, Antonela Godoy, Daniela Lis |
| author |
Tommasel, Antonela |
| author_facet |
Tommasel, Antonela Godoy, Daniela Lis |
| author_role |
author |
| author2 |
Godoy, Daniela Lis |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Semantic enrichment Social annotations Web resource classification |
| topic |
Ciencias Informáticas Semantic enrichment Social annotations Web resource classification |
| dc.description.none.fl_txt_mv |
Social annotations voluntarily provided by users in tagging or book-marking sites such as Delicious or Flickr have been recognized as an interesting source of metadata for assisting tasks such as classification of Web resources. However, the open-ended nature of the tags employed to annotate resources leads to problems such as the introduction of noise and ambiguity that may hinder clas- sification results. This paper presents an approach for semantically analyse social annotations in order to attain enriched, concept-based representations of Web resources. Experimental results showed that the strategies proposed to relate tags to conceptual entities allow to improve the results of resource classification. Sociedad Argentina de Informática e Investigación Operativa |
| description |
Social annotations voluntarily provided by users in tagging or book-marking sites such as Delicious or Flickr have been recognized as an interesting source of metadata for assisting tasks such as classification of Web resources. However, the open-ended nature of the tags employed to annotate resources leads to problems such as the introduction of noise and ambiguity that may hinder clas- sification results. This paper presents an approach for semantically analyse social annotations in order to attain enriched, concept-based representations of Web resources. Experimental results showed that the strategies proposed to relate tags to conceptual entities allow to improve the results of resource classification. |
| publishDate |
2012 |
| dc.date.none.fl_str_mv |
2012-08 |
| 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/10915/123719 |
| url |
http://sedici.unlp.edu.ar/handle/10915/123719 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://41jaiio.sadio.org.ar/sites/default/files/4_ASAI_2012.pdf info:eu-repo/semantics/altIdentifier/issn/1850-2784 |
| 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) |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
| dc.format.none.fl_str_mv |
application/pdf 35-47 |
| dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
| reponame_str |
SEDICI (UNLP) |
| collection |
SEDICI (UNLP) |
| instname_str |
Universidad Nacional de La Plata |
| instacron_str |
UNLP |
| institution |
UNLP |
| repository.name.fl_str_mv |
SEDICI (UNLP) - Universidad Nacional de La Plata |
| repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
| _version_ |
1844616175549415424 |
| score |
13.070432 |