WordNet: a lexical database for English
Communications of the ACM
Contextual correlates of synonymy
Communications of the ACM
Clustering user queries of a search engine
Proceedings of the 10th international conference on World Wide Web
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Information Retrieval
Modern Information Retrieval
Exploiting hierarchical domain structure to compute similarity
ACM Transactions on Information Systems (TOIS)
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Towards the self-annotating web
Proceedings of the 13th international conference on World Wide Web
Identifying similarities, periodicities and bursts for online search queries
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Taxonomy-driven computation of product recommendations
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Semantic similarity between search engine queries using temporal correlation
WWW '05 Proceedings of the 14th international conference on World Wide Web
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
Algorithmic detection of semantic similarity
WWW '05 Proceedings of the 14th international conference on World Wide Web
Gimme' the context: context-driven automatic semantic annotation with C-PANKOW
WWW '05 Proceedings of the 14th international conference on World Wide Web
Using ODP metadata to personalize search
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Towards Automated Reputation and Brand Monitoring on the Web
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Web search personalization with ontological user profiles
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Discovering relationships among categories using misclassification information
Proceedings of the 2008 ACM symposium on Applied computing
Leveraging sources of collective wisdom on the web for discovering technology synergies
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Discovery of Technology Synergies through Collective Wisdom
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Optimal distance bounds for fast search on compressed time-series query logs
ACM Transactions on the Web (TWEB)
Detecting relationships among categories using text classification
Journal of the American Society for Information Science and Technology
Effect of semantic differences in WordNet-based similarity measures
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Linked-data based suggestion of relevant topics
Proceedings of the 7th International Conference on Semantic Systems
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Finding co-solvers on twitter, with a little help from linked data
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Web technologies for open innovation
Proceedings of the 3rd International Web Science Conference
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Taxonomic measures of semantic proximity allow us to compute the relatedness of two concepts. These metrics are versatile instruments required for diverse applications, e.g., the Semantic Web, linguistics, and also text mining. However, most approaches are only geared towards hand-crafted taxonomic dictionaries such as WordNet, which only feature a limited fraction of real-world concepts. More specific concepts, and particularly instances of concepts, i.e., names of artists, locations, brand names, etc., are not covered.The contributions of this paper are two fold. First, we introduce a framework based on Google and the Open Directory Project (ODP), enabling us to derive the semantic proximity between arbitrary concepts and instances. Second, we introduce a new taxonomy-driven proximity metric tailored for our framework. Studies with human subjects corroborate our hypothesis that our new metric outperforms benchmark semantic proximity metrics and comes close to human judgement.