@inproceedings{auyeung2008web, abstract = {Existing Web search engines such as Google mostly adopt a keyword-based approach, which matches the keywords in a query sub- mitted by a user with the keywords characterising the indexed Web doc- uments, and is quite successful in general in helping users locate useful documents. However, when the keyword submitted by the user is am- biguous, the search result usually consists of documents related to var- ious meanings of the keyword, in which probably only one of them is interesting to the user. In this paper we attempt to provide a solution to this problem by using the semantics extracted from collaborative tag- ging in the social bookmarking site del.icio.us. For an ambiguous word, we extract sets of tags which are related to it in di®erent contexts by performing a community-discovery algorithm on folksonomy networks. The sets of tags are then used to disambiguate search results returned by del.icio.us and Google. Experimental results show that our method is able to disambiguate the documents returned by the two systems with high precision.}, author = {{Au Yeung}, Ching Man and Gibbins, Nicholas and Shadbolt, Nigel}, booktitle = {Proceedings of the Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR 2008), co-located with ECIR 2008, Glasgow, United Kingdom, 31 March, 2008}, file = {auyeung2008web.pdf:auyeung2008web.pdf:PDF}, groups = {public}, interhash = {5b2dc6d4703b3ca880b7846390d84e02}, intrahash = {8eb3850df53262492c16071ee9cbb911}, pages = {48--61}, timestamp = {2011-02-01 19:06:57}, title = {Web Search Disambiguation by Collaborative Tagging}, url = {http://eprints.ecs.soton.ac.uk/15393/}, username = {dbenz}, year = 2008 } @inproceedings{auyeung2007understanding, 1 = {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}, abstract = {The use of tags to describe Web resources in a collaborative manner has experienced rising popularity among Web users in recent years. The product of such activity is given the name folksonomy, which can be considered as a scheme of organizing information in the users' own way. In this paper, we present a possible way to analyze the tripartite graphs -- graphs involving users, tags and resources -- of folksonomies and discuss how these elements acquire their meanings through their associ- ations with other elements, a process we call mutual contextualization. In particular, we demonstrate how different meanings of ambiguous tags can be discovered through such analysis of the tripartite graph by study- ing the tag sf. We also discuss how the result can be used as a basis to better understand the nature of folksonomies.}, added = {2009-08-17 11:40:57 +0200}, author = {man Au Yeung, Ching and Gibbins, Nicholas and Shadbolt, Nigel}, booktitle = {Proceedings of the International Workshop on Emergent Semantics and Ontology Evolution (ESOE2007) at ISWC/ASWC2007, Busan, South Korea, November}, file = {auyeung2007understanding.pdf:auyeung2007understanding.pdf:PDF}, groups = {public}, interhash = {8d1bea2571673b0b9cdb818043a3a7db}, intrahash = {26e6ce8edf984c9d247aa8e304afe565}, modified = {2010-01-04 09:30:08 +0100}, timestamp = {2011-02-01 19:09:14}, title = {Understanding the Semantics of Ambiguous Tags in Folksonomies}, url = {http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-292/paper11.pdf}, urldate = {28.5.2008}, username = {dbenz}, year = 2007 } @inproceedings{yeung2007, author = {man Au Yeung, Ching and Gibbins, Nicholas and Shadbolt, Nigel}, bibsource = {DBLP, http://dblp.uni-trier.de}, booktitle = {ESOE}, crossref = {DBLP:conf/semweb/2007esoe}, editor = {Chen, Liming and Cudr{\'e}-Mauroux, Philippe and Haase, Peter and Hotho, Andreas and Ong, Ernie}, ee = {http://ceur-ws.org/Vol-292/paper11.pdf}, interhash = {8d1bea2571673b0b9cdb818043a3a7db}, intrahash = {38a0e7a07d8bd94b8ca7cc3cfd189b7e}, pages = {108-121}, publisher = {CEUR-WS.org}, series = {CEUR Workshop Proceedings}, title = {Understanding the Semantics of Ambiguous Tags in Folksonomies}, volume = 292, year = 2007 } @article{shadbolt06semantic, abstract = {The original Scientific American article on the Semantic Web appeared in 2001. It described the evolution of a Web that consisted largely of documents for humans to read to one that included data and information for computers to manipulate. The Semantic Web is a Web of actionable information—information derived from data through a semantic theory for interpreting the symbols. This simple idea, however, remains largely unrealized. Shopbots and auction bots abound on the Web, but these are essentially handcrafted for particular tasks; they have little ability to interact with heterogeneous data and information types. Because we haven't yet delivered large-scale, agent-based mediation, some commentators argue that the Semantic Web has failed to deliver. We argue that agents can only flourish when standards are well established and that the Web standards for expressing shared meaning have progressed steadily over the past five years. Furthermore, we see the use of ontologies in the e-science community presaging ultimate success for the Semantic Web—just as the use of HTTP within the CERN particle physics community led to the revolutionary success of the original Web.}, author = {Shadbolt, Nigel and Berners-Lee, Tim and Hall, Wendy}, editor = {Staab, Steffen}, ee = {http://dsonline.computer.org/portal/site/dsonline/menuitem.9ed3d9924aeb0dcd82ccc6716bbe36ec/index.jsp?&pName=dso_level1&path=dsonline/2006/07&file=x3sem.xml&xsl=article.xsl&}, interhash = {5f95e416982e7d981e2d6daa988180bc}, intrahash = {ae5cd5e31f0d7847f323a59988fdfab8}, journal = {IEEE Intelligent Systems}, number = 3, pages = {96-101}, privnote = {- semantic web summary - folksonomy erwähnt - challenges for semantic web und ubiquities data}, title = {The Semantic Web Revisited}, url = {http://eprints.ecs.soton.ac.uk/12614/01/Semantic_Web_Revisted.pdf#search=%22The%20Semantic%20Web%20Revisited%22}, volume = 21, year = 2006 } @inproceedings{auyeung2007tag, abstract = {Collaborative tagging systems are becoming very popular recently. Web users use freely-chosen tags to describe shared resources, resulting in a folksonomy. One problem of folksonomies is that tags which appear in the same form may carry multiple meanings and represent different concepts. As this kind of tags are ambiguous, the precisions in both description and retrieval of the shared resources are reduced. We attempt to develop effective methods to disambiguate tags by studying the tripartite structure of folksonomies. This paper describes the network analysis techniques that we employ to discover clusters of nodes in networks and the algorithm for tag disambiguation. Experiments show that the method is very effective in performing the task.}, author = {man Au Yeung, Ching and Gibbins, Nicholas and Shadbolt, Nigel}, bibdate = {2008-02-06}, bibsource = {DBLP, http://dblp.uni-trier.de/db/conf/iat/iatw2007.html#YeungGS07}, booktitle = {Web Intelligence/IAT Workshops}, crossref = {conf/iat/2007w}, file = {auyeung2007tag.pdf:auyeung2007tag.pdf:PDF}, groups = {public}, interhash = {715a5b5e7a4d3dca918e89e9be7a77fb}, intrahash = {a7e6e642d676b6ce9b5e5b3a4d350eac}, pages = {3--6}, publisher = {IEEE}, timestamp = {2010-11-30 18:26:37}, title = {Tag Meaning Disambiguation through Analysis of Tripartite Structure of Folksonomies}, url = {http://dx.doi.org/10.1109/WIIATW.2007.4427527}, username = {dbenz}, year = 2007 } @article{middleton2004ontological, author = {Middleton, Stuart E. and Shadbolt, Nigel R. and {De Roure}, David C.}, interhash = {c0bcba5b8f31cfbe434062d77057904e}, intrahash = {a3516024369f530bcf3fb37d89aea498}, issn = {1046-8188}, journal = {ACM Trans. Inf. Syst.}, number = 1, pages = {54--88}, publisher = {ACM Press}, title = {Ontological user profiling in recommender systems}, url = {doi.acm.org/10.1145/963770.963773}, volume = 22, year = 2004 } @inproceedings{auyeung2009measuring, abstract = {Collaborative tagging systems such as Delicious provide a new means of organizing and sharing resources. They also allow users to search for documents relevant to a particular topic or for other users who are experts in a particular domain. Nevertheless, identifying relevant documents and knowledgeable users is not a trivial task, especially when the volume of documents is huge and there exist spamming activities. In this paper, we discuss the notions of experts and expertise in the context of collaborative tagging systems. We propose that the level of expertise of a user in a particular topic is mainly determined by two factors: (1) there should be a relationship of mutual reinforcement between the expertise of a user and the quality of a document; and (2) an expert should be one who tends to identify useful documents before other users discover them. We propose a graph-based algorithm, SPEAR (SPamming-resistant Expertise Analysis and Ranking), which implements the above ideas for ranking users in a collaborative tagging system. We carry out experiments on both simulated data sets and real-world data sets obtained from Delicious, and show that SPEAR is more resistant to spammers than other methods such as the HITS algorithm and simple statistical measures.}, author = {{Au Yeung}, Ching Man and Noll, Michael G. and Gibbins, Nicholas and Meinel, Christoph and Shadbolt, Nigel}, booktitle = {WebSci'09: Web Science Conference 2009 - Society On-Line, Athens, Greece, 18-20 March, 2009}, interhash = {dd6885ca4e2293f2d70852ca0d55f239}, intrahash = {4831ad30a8a37f6b5d1adf3d3d717713}, month = {March}, title = {On Measuring Expertise in Collaborative Tagging Systems}, url = {http://journal.webscience.org/109/}, year = 2009 } @incollection{springerlink:10.1007/978-3-540-76298-0_79, abstract = {The use of tags to describe Web resources in a collaborative manner has experienced rising popularity among Web users in recent years. The product of such activity is given the name folksonomy, which can be considered as a scheme of organizing information in the users’ own way. This research work attempts to analyze tripartite graphs – graphs involving users, tags and resources – of folksonomies and discuss how these elements acquire their semantics through their associations with other elements, a process we call mutual contextualization. By studying such process, we try to identify solutions to problems such as tag disambiguation, retrieving documents of similar topics and discovering communities of users. This paper describes the basis of the research work, mentions work done so far and outlines future plans.}, address = {Berlin / Heidelberg}, affiliation = {Intelligence, Agents and Multimedia Group (IAM), School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ UK}, author = {man Yeung, Ching and Gibbins, Nicholas and Shadbolt, Nigel}, booktitle = {The Semantic Web}, doi = {10.1007/978-3-540-76298-0_79}, editor = {Aberer, Karl and Choi, Key-Sun and Noy, Natasha and Allemang, Dean and Lee, Kyung-Il and Nixon, Lyndon and Golbeck, Jennifer and Mika, Peter and Maynard, Diana and Mizoguchi, Riichiro and Schreiber, Guus and Cudré-Mauroux, Philippe}, interhash = {739050b87c491e82396f3ad3aa87073e}, intrahash = {ceaf5504144fb6a88ef91853421a7644}, pages = {966-970}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Mutual Contextualization in Tripartite Graphs of Folksonomies}, url = {http://dx.doi.org/10.1007/978-3-540-76298-0_79}, volume = 4825, year = 2007 } @article{ados03identifying, author = {Alani, Harith and Dasmahapatra, Srinandan and O'Hara, Kieron and Shadbolt, Nigel}, doi = {10.1016/S0169-7552(98)00110-X}, interhash = {0ad8088d6534d9dc742207b7291dadf7}, intrahash = {923fe2e2d6a389c74c679d4f1f9a2a5e}, journal = {IEEE Intelligent Systems}, month = {March/April}, number = 2, pages = {18-25}, title = {{I}dentifying {C}ommunities of {P}ractice through {O}ntology {N}etwork {A}nalysis}, volume = 18, year = 2003 } @article{HAlani2003, author = {Alani, Harith and Dasmahapatra, Srinandan and O'Hara, Kieron and Shadbolt, Nigel}, doi = {10.1016/S0169-7552(98)00110-X}, interhash = {0ad8088d6534d9dc742207b7291dadf7}, intrahash = {923fe2e2d6a389c74c679d4f1f9a2a5e}, journal = {IEEE Intelligent Systems}, month = {March/April}, number = 2, pages = {18-25}, title = {{I}dentifying {C}ommunities of {P}ractice through {O}ntology {N}etwork {A}nalysis}, volume = 18, year = 2003 } @inproceedings{middleton2002exploiting, author = {Middleton, Stuart E. and Alani, H. and Shadbolt, Nigel R. and {De Roure}, David C.}, booktitle = {Proceedings of the 11th International World Wide Web Conference WWW-2002}, interhash = {4aea05259e0bdc2b9001b7ce11c10ac0}, intrahash = {4e6b8b4a669587d142338c5ccd1be4bb}, location = {Hawaii, USA}, title = {Exploiting Synergy Between Ontologies and Recommender System}, year = 2002 } @article{bernerslee2006creating, abstract = {Since its inception, the World Wide Web has changed the ways scientists communicate, collaborate, and educate. There is, however, a growing realization among many researchers that a clear research agenda aimed at understanding the current, evolving, and potential Web is needed. If we want to model the Web; if we want to understand the architectural principles that have provided for its growth; and if we want to be sure that it supports the basic social values of trustworthiness, privacy, and respect for social boundaries, then we must chart out a research agenda that targets the Web as a primary focus of attention.}, author = {Berners-Lee, Tim and Hall, Wendy and Hendler, James and Shadbolt, Nigel and Weitzner, Daniel J.}, doi = {10.1126/science.1126902}, eprint = {http://www.sciencemag.org/content/313/5788/769.full.pdf}, interhash = {4faeccd1fb26fbc059558be4ce111c6d}, intrahash = {6daebd9940f9fe0c3a3da39001efa9a0}, journal = {Science}, number = 5788, pages = {769--771}, title = {Creating a Science of the Web}, url = {http://www.sciencemag.org/content/313/5788/769.short}, volume = 313, year = 2006 } @inproceedings{middleton2001capturing, author = {Middleton, Stuart E. and {De Roure}, David C. and Shadbolt, Nigel R.}, booktitle = {Proceedings of the international conference on Knowledge capture}, interhash = {912fba5e828e72d665ba40e7607f1d97}, intrahash = {0d38005e912a8511eff1809776ed292f}, isbn = {1-58113-380-4}, location = {Victoria, British Columbia, Canada}, pages = {100--107}, publisher = {ACM Press}, title = {Capturing knowledge of user preferences: ontologies in recommender systems}, url = {doi.acm.org/10.1145/500737.500755}, year = 2001 } @inproceedings{middleton01, abstract = {Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a dynamic environment. We explore the acquisition of user profiles by unobtrusive monitoring of browsing behaviour and application of supervised machine-learning techniques coupled with an ontological representation to extract user preferences. A multi-class approach to paper classification is used, allowing the paper topic taxonomy to be utilised during profile construction. The Quickstep recommender system is presented and two empirical studies evaluate it in a real work setting, measuring the effectiveness of using a hierarchical topic ontology compared with an extendable flat list.}, address = {New York, NY, USA}, author = {Middleton, Stuart E. and Roure, David C. De and Shadbolt, Nigel R.}, booktitle = {K-CAP '01: Proceedings of the 1st international conference on Knowledge capture}, doi = {http://doi.acm.org/10.1145/500737.500755}, interhash = {332dfc15a8f0fc442b47a9a4b740b1bf}, intrahash = {6d0a7792db2c0f96bd0a495a56e57464}, isbn = {1-58113-380-4}, location = {Victoria, British Columbia, Canada}, pages = {100--107}, publisher = {ACM}, title = {Capturing knowledge of user preferences: ontologies in recommender systems}, url = {http://portal.acm.org/citation.cfm?id=500737.500755}, year = 2001 } @inproceedings{middleton2003capturing, author = {Middleton, Stuart E. and Shadbolt, Nigel R. and {De Roure}, David C.}, booktitle = {Proceedings of the international conference on Knowledge capture}, interhash = {dbba6859beb8d94bebc21a74140e746d}, intrahash = {09268a88aba1913bd7901cfb40819f71}, isbn = {1-58113-583-1}, location = {Sanibel Island, FL, USA}, pages = {62--69}, publisher = {ACM Press}, title = {Capturing interest through inference and visualization: ontological user profiling in recommender systems}, url = {doi.acm.org/10.1145/945645.945657}, year = 2003 } @article{framework2006lee, abstract = {This text sets out a series of approaches to the analysis and synthesis of the World Wide Web, and other web-like information structures. A comprehensive set of research questions is outlined, together with a sub-disciplinary breakdown, emphasising the multi-faceted nature of the Web, and the multi-disciplinary nature of its study and development. These questions and approaches together set out an agenda for Web Science, the science of decentralised information systems. Web Science is required both as a way to understand the Web, and as a way to focus its development on key communicational and representational requirements. The text surveys central engineering issues, such as the development of the Semantic Web, Web services and P2P. Analytic approaches to discover the Web’s topology, or its graph-like structures, are examined. Finally, the Web as a technology is essentially socially embedded; therefore various issues and requirements for Web use and governance are also reviewed.}, author = {Berners-Lee, Tim and Hall, Wendy and Hendler, James A. and O'Hara, Kieron and Shadbolt, Nigel and Weitzner, Daniel J.}, editor = {Hall, Wendy and Shadbolt, Nigel}, interhash = {baac7e2804fe5c7346e51e77cdf7d484}, intrahash = {a8c58bcd316506ef9b83317ce08ef8ee}, journal = {Foundations and Trends® in Web Science}, number = 1, title = {A Framework for Web Science}, url = {http://www.nowpublishers.com/getpdf.aspx?doi=1800000001&product=WEB}, volume = 1, year = 2006 }