基于大众分类法中共享概念的用户语义聚类

Sana Hamdi, Alda Lopes Gançarski, A. Bouzeghoub, S. Yahia
{"title":"基于大众分类法中共享概念的用户语义聚类","authors":"Sana Hamdi, Alda Lopes Gançarski, A. Bouzeghoub, S. Yahia","doi":"10.1109/CASON.2011.6085944","DOIUrl":null,"url":null,"abstract":"Folksonomy systems and social bookmarking tools are rapidly spreading on the Web. Their steady increase reveals a trend towards a more dynamic and interactive space, in which users can individually assign terms to online resources. Even though users find tagging easy to use and understand, they need to see, closely, users sharing same interest as them for many reasons (facilitating the information retrieval and confidentiality management, insuring privacy respect, etc.). In this paper, we introduce a new method for automatically creating a new social network, across a popular folksonomy site, where users are clustered according to their domain of interest. We semantically represent these interests by using DBPEDIA ontology as a multi-domain ontology and we propose a methodology for enriching this ontology.","PeriodicalId":342597,"journal":{"name":"2011 International Conference on Computational Aspects of Social Networks (CASoN)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Semantic clustering of users based on shared conceptualizations in folksonomies\",\"authors\":\"Sana Hamdi, Alda Lopes Gançarski, A. Bouzeghoub, S. Yahia\",\"doi\":\"10.1109/CASON.2011.6085944\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Folksonomy systems and social bookmarking tools are rapidly spreading on the Web. Their steady increase reveals a trend towards a more dynamic and interactive space, in which users can individually assign terms to online resources. Even though users find tagging easy to use and understand, they need to see, closely, users sharing same interest as them for many reasons (facilitating the information retrieval and confidentiality management, insuring privacy respect, etc.). In this paper, we introduce a new method for automatically creating a new social network, across a popular folksonomy site, where users are clustered according to their domain of interest. We semantically represent these interests by using DBPEDIA ontology as a multi-domain ontology and we propose a methodology for enriching this ontology.\",\"PeriodicalId\":342597,\"journal\":{\"name\":\"2011 International Conference on Computational Aspects of Social Networks (CASoN)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Computational Aspects of Social Networks (CASoN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CASON.2011.6085944\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Computational Aspects of Social Networks (CASoN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASON.2011.6085944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

大众分类法系统和社会书签工具正在网络上迅速传播。它们的稳步增长揭示了一种趋势,即一个更加动态和互动的空间,在这个空间中,用户可以单独为在线资源分配术语。尽管用户发现标记很容易使用和理解,但出于许多原因(方便信息检索和保密管理,确保隐私尊重等),他们需要密切地看到与他们有相同兴趣的用户。在本文中,我们介绍了一种新的方法来自动创建一个新的社交网络,在一个流行的大众分类法网站上,用户根据他们感兴趣的领域聚集在一起。我们将DBPEDIA本体作为一个多领域本体在语义上表示这些兴趣,并提出了一种丰富该本体的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantic clustering of users based on shared conceptualizations in folksonomies
Folksonomy systems and social bookmarking tools are rapidly spreading on the Web. Their steady increase reveals a trend towards a more dynamic and interactive space, in which users can individually assign terms to online resources. Even though users find tagging easy to use and understand, they need to see, closely, users sharing same interest as them for many reasons (facilitating the information retrieval and confidentiality management, insuring privacy respect, etc.). In this paper, we introduce a new method for automatically creating a new social network, across a popular folksonomy site, where users are clustered according to their domain of interest. We semantically represent these interests by using DBPEDIA ontology as a multi-domain ontology and we propose a methodology for enriching this ontology.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信