Application of Spreading Activation Techniques in InformationRetrieval
Artificial Intelligence Review
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
A spreading activation network model for information retrieval
A spreading activation network model for information retrieval
Spreading Activation Models for Trust Propagation
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Is it the right answer?: exploiting web redundancy for Answer Validation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Visibility Analysis on theWeb as an Indicator for Public Relations and Marketing Evaluation
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06) - Volume 01
Unsupervised named-entity extraction from the Web: An experimental study
Artificial Intelligence
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Monitoring public attention for a topic is of interest for many target groups like social scientists or public relations. Several examples demonstrate how public attention caused by real-world events is accompanied by an accordant visibility of topics on the web. It is shown that the hitcount values of a search engine we use as initial visibility values have to be adjusted by taking the semantic relations between topics into account. We model these relations using semantic networks and present an algorithm based on Spreading Activation that adjusts the initial visibilities. The concept of co-visibility between topics is integrated to obtain an algorithm that mostly complies with an intuitive view on visibilities. The reliability of search engine hitcounts is discussed.