A URI is Worth a Thousand Tags: From Tagging to Linked Data with MOAT

被引:19
作者
Passant, Alexandre [1 ]
Laublet, Philippe [2 ]
Breslin, John G. [1 ]
Decker, Stefan
机构
[1] Natl Univ Ireland, Digital Enterprise Res Inst, Social Software Unit, Galway, Ireland
[2] Univ Paris 04, F-75230 Paris 05, France
基金
爱尔兰科学基金会;
关键词
Enterprise; 2.0; Linked Data; MOAT; SIOC; Social Web Tagging; User-Generated Content; SOCIAL NETWORKS; FOLKSONOMY; SEMANTICS; WEB;
D O I
10.4018/jswis.2009081904
中图分类号
TP18 [人工智能理论];
学科分类号
140502 [人工智能];
摘要
Although tagging is a widely accepted practice on the Social Web, it raises various issues like tags ambiguity and heterogeneity, as well as the lack of organization between tags. We believe that Semantic Web technologies can help solve many of these issues, especially considering the use of formal resources from the Web of Data in support of existing tagging systems and practices. In this article, we present the MOAT-Meaning Of A Tag-ontology and framework, which aims to achieve this goal. We will detail some motivations and benefits of the approach, both in an Enterprise 2.0 ecosystem and on the Web. As we will detail, our proposal is twofold: It helps solve the problems mentioned previously, and weaves user-generated content into the Web of Data, making it more efficiently interoperable and retrievable.
引用
收藏
页码:71 / 94
页数:24
相关论文
共 41 条
[1]
ABEL F, 2008, C INF KNOWL MAN P 2, P49
[2]
Angeletou S, 2008, LECT NOTES COMPUT SC, V5318, P889, DOI 10.1007/978-3-540-88564-1_58
[3]
[Anonymous], 2009, P 1 WORKSH TRUST PRI
[4]
[Anonymous], 2004, Architecture of the World Wide Web
[5]
[Anonymous], WORKSH COLL WEB TAGG
[6]
[Anonymous], 2006, P 15 INT C WORLD WID
[7]
DBpedia: A nucleus for a web of open data [J].
Auer, Soeren ;
Bizer, Christian ;
Kobilarov, Georgi ;
Lehmann, Jens ;
Cyganiak, Richard ;
Ives, Zachary .
SEMANTIC WEB, PROCEEDINGS, 2007, 4825 :722-+
[8]
Berners-Lee T., 2006, Linked data
[9]
Berners-Lee T., 2007, Giant Global Graph
[10]
BIZER C, 2007, 4 EUR SEM WEB C ESWC