X. Wu, L. Zhang, and Y. Yu. WWW '06: Proceedings of the 15th international conference on World Wide Web, page 417--426. New York, NY, USA, ACM Press, (2006)
Abstract
In order to obtain a machine understandable semantics for web resources, research on the Semantic Web tries to an- notate web resources with concepts and relations from ex- plicitly de¯ned formal ontologies. This kind of formal an- notation is usually done manually or semi-automatically. In this paper, we explore a complement approach that focuses on the annotations of the web" which are annota- tions manually made by normal web users without a pre- de¯ned formal ontology. Compared to the formal annota- tions, although social annotations are coarse-grained, infor- mal and vague, they are also more accessible to more peo- ple and better re°ect the web resources' meaning from the users' point of views during their actual usage of the web re- sources. Using a social bookmark service as an example, we show how emergent semantics 2 can be statistically derived from the social annotations. Furthermore, we apply the de- rived emergent semantics to discover and search shared web bookmarks. The initial evaluation on our implementation shows that our method can e®ectively discover semantically related web bookmarks that current social bookmark service can not discover easily.
%0 Conference Paper
%1 wu2006exploring
%A Wu, Xian
%A Zhang, Lei
%A Yu, Yong
%B WWW '06: Proceedings of the 15th international conference on World Wide Web
%C New York, NY, USA
%D 2006
%I ACM Press
%K closely_related diploma_thesis emergentsemantics_evidence folksonomy methods_concepts ol_web2.0 semantic_web tagging taggingsurvey
%P 417--426
%T Exploring social annotations for the semantic web
%U http://doi.acm.org/10.1145/1135777.1135839
%X In order to obtain a machine understandable semantics for web resources, research on the Semantic Web tries to an- notate web resources with concepts and relations from ex- plicitly de¯ned formal ontologies. This kind of formal an- notation is usually done manually or semi-automatically. In this paper, we explore a complement approach that focuses on the annotations of the web" which are annota- tions manually made by normal web users without a pre- de¯ned formal ontology. Compared to the formal annota- tions, although social annotations are coarse-grained, infor- mal and vague, they are also more accessible to more peo- ple and better re°ect the web resources' meaning from the users' point of views during their actual usage of the web re- sources. Using a social bookmark service as an example, we show how emergent semantics 2 can be statistically derived from the social annotations. Furthermore, we apply the de- rived emergent semantics to discover and search shared web bookmarks. The initial evaluation on our implementation shows that our method can e®ectively discover semantically related web bookmarks that current social bookmark service can not discover easily.
@inproceedings{wu2006exploring,
abstract = {In order to obtain a machine understandable semantics for web resources, research on the Semantic Web tries to an- notate web resources with concepts and relations from ex- plicitly de¯ned formal ontologies. This kind of formal an- notation is usually done manually or semi-automatically. In this paper, we explore a complement approach that focuses on the \social annotations of the web" which are annota- tions manually made by normal web users without a pre- de¯ned formal ontology. Compared to the formal annota- tions, although social annotations are coarse-grained, infor- mal and vague, they are also more accessible to more peo- ple and better re°ect the web resources' meaning from the users' point of views during their actual usage of the web re- sources. Using a social bookmark service as an example, we show how emergent semantics [2] can be statistically derived from the social annotations. Furthermore, we apply the de- rived emergent semantics to discover and search shared web bookmarks. The initial evaluation on our implementation shows that our method can e®ectively discover semantically related web bookmarks that current social bookmark service can not discover easily.},
added-at = {2011-02-17T17:43:25.000+0100},
address = {New York, NY, USA},
author = {Wu, Xian and Zhang, Lei and Yu, Yong},
biburl = {https://www.bibsonomy.org/bibtex/22ff38a7f8e9e3941d0598877fe964eb5/dbenz},
booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web},
file = {wu2006exploring.pdf:wu2006exploring.pdf:PDF},
groups = {public},
interhash = {478741551c92402f539a90a9caed61b6},
intrahash = {2ff38a7f8e9e3941d0598877fe964eb5},
keywords = {closely_related diploma_thesis emergentsemantics_evidence folksonomy methods_concepts ol_web2.0 semantic_web tagging taggingsurvey},
lastdatemodified = {2007-01-04},
lastname = {Wu},
own = {notown},
pages = {417--426},
pdf = {wu06-exploring.pdf},
publisher = {ACM Press},
read = {notread},
timestamp = {2013-07-31T15:39:42.000+0200},
title = {Exploring social annotations for the semantic web},
url = {http://doi.acm.org/10.1145/1135777.1135839},
username = {dbenz},
year = 2006
}