GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential
Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
An agenda for the next generation gazetteer: geographic information contribution and retrieval
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Bottom-Up Gazetteers: Learning from the Implicit Semantics of Geotags
GeoS '09 Proceedings of the 3rd International Conference on GeoSpatial Semantics
A Spatial User Similarity Measure for Geographic Recommender Systems
GeoS '09 Proceedings of the 3rd International Conference on GeoSpatial Semantics
A probabilistic definition of item similarity
Proceedings of the fifth ACM conference on Recommender systems
Knowledge-Based Systems
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In the Semantic Web paradigm, geo-ontologies are closely related to geospatial information communities. Each community comes with its own ontology which is modeled, most frequently, within the framework of description logics. The paper questions a central assumption underlying this approach, namely that communities (and ontologies) are defined by crisp semantic boundaries. The idea of a semantic boundary contrasts sharply with the notion of a community of data producers/consumers that characterizes Web 2.0 applications. Wellknown examples are GPS-trail libraries for hikers and bikers or image libraries of places of touristic interest. In these applications, conceptualizations are created as folksonomies by voluntary contributors who associate georeferenced objects (e.g. trails, images) with semantic tags. We argue that the resulting folksonomy can not be considered an ontology in the sense of Semantic Web technology. However, we propose a novel approach for modeling the collaborative semantics of geographic folksonomies. This approach is based on multiobject tagging, that is, the analysis of tags that users assign to composite objects, e.g. a group of photographs.