@incollection{cantador2011semantic, abstract = {We present an approach that efficiently identifies the semantic meanings and contexts of social tags within a particular folksonomy, and exploits them to build contextualised tag-based user and item profiles. We apply our approach to a dataset obtained from Delicious social bookmarking system, and evaluate it through two experiments: a user study consisting of manual judgements of tag disambiguation and contextualisation cases, and an offline study measuring the performance of several tag-powered item recommendation algorithms by using contextualised profiles. The results obtained show that our approach is able to accurately determine the actual semantic meanings and contexts of tag annotations, and allow item recommenders to achieve better precision and recall on their predictions.}, address = {Berlin/Heidelberg}, affiliation = {Departamento de Ingeniería Informática, Universidad Autónoma de Madrid, 28049 Madrid, Spain}, author = {Cantador, Iván and Bellogín, Alejandro and Fernández-Tobías, Ignacio and López-Hernández, Sergio}, booktitle = {E-Commerce and Web Technologies}, doi = {10.1007/978-3-642-23014-1_9}, editor = {Huemer, Christian and Setzer, Thomas and Aalst, Wil and Mylopoulos, John and Rosemann, Michael and Shaw, Michael J. and Szyperski, Clemens}, interhash = {b2359e659cf8c02ba8e9fc8db014aafc}, intrahash = {ac6d55bacc85f75a4711a1c48526dfd6}, isbn = {978-3-642-23014-1}, keyword = {Computer Science}, pages = {101--113}, publisher = {Springer}, series = {Lecture Notes in Business Information Processing}, title = {Semantic Contextualisation of Social Tag-Based Profiles and Item Recommendations}, url = {http://dx.doi.org/10.1007/978-3-642-23014-1_9}, volume = 85, year = 2011 } @inproceedings{cantador2008enriching, abstract = {Many advanced recommendation frameworks employ ontologies of various complexities to model individuals and items, providing a mechanism for the expression of user interests and the representation of item attributes. As a result, complex matching techniques can be applied to support individuals in the discovery of items according to explicit and implicit user preferences. Recently, the rapid adoption of Web2.0, and the proliferation of social networking sites, has resulted in more and more users providing an increasing amount of information about themselves that could be exploited for recommendation purposes. However, the unification of personal information with ontologies using the contemporary knowledge representation methods often associated with Web2.0 applications, such as community tagging, is a non-trivial task. In this paper, we propose a method for the unification of tags with ontologies by grounding tags to a shared representation in the form of Wordnet and Wikipedia. We incorporate individuals’ tagging history into their ontological profiles by matching tags with ontology concepts. This approach is preliminary evaluated by extending an existing news recommendation system with user tagging histories harvested from popular social networking sites.}, author = {Cantador, Ivan and Szomszor, Martin and Alani, Harith and Fernandez, Miriam and Castells, Pablo}, booktitle = {1st International Workshop on Collective Semantics: Collective Intelligence \& the Semantic Web (CISWeb 2008) }, file = {cantador2008enriching.pdf:cantador2008enriching.pdf:PDF}, groups = {public}, interhash = {b201967f2e9ef8e8907f18fe139a306b}, intrahash = {00806894ae96282af699a8d87453d9fd}, month = {June}, timestamp = {2011-02-17 10:58:34}, title = {Enriching Ontological User Profiles with Tagging History for Multi-Domain Recommendations}, url = {http://eprints.ecs.soton.ac.uk/15451/}, username = {dbenz}, year = 2008 } @inproceedings{szomszor2008correlating, author = {Szomszor, Martin and Cantador, Iv{\'a}n and Alani, Harith}, bibsource = {DBLP, http://dblp.uni-trier.de}, booktitle = {Hypertext}, crossref = {DBLP:conf/ht/2008}, ee = {http://doi.acm.org/10.1145/1379092.1379103}, interhash = {fe1b283dae38c491db8678445bfa31a5}, intrahash = {89b81e64df3426cb16fce7f305d7b0d2}, pages = {33-42}, title = {Correlating user profiles from multiple folksonomies}, year = 2008 }