Information retrieval by constrained spreading activation in semantic networks
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
Application of Spreading Activation Techniques in InformationRetrieval
Artificial Intelligence Review
A hybrid approach for searching in the semantic web
Proceedings of the 13th international conference on World Wide Web
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Users can change their web search tactics: Design guidelines for categorized overviews
Information Processing and Management: an International Journal
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
From exploratory search to web search and back
PIKM '10 Proceedings of the 3rd workshop on Ph.D. students in information and knowledge management
Invited paper: VisiNav: A system for visual search and navigation on web data
Web Semantics: Science, Services and Agents on the World Wide Web
dbrec: music recommendations using DBpedia
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Linked open data to support content-based recommender systems
Proceedings of the 8th International Conference on Semantic Systems
Knowledge-based music retrieval for places of interest
Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies
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Exploratory search systems help users learn or investigate a topic. The richness of the linked open data can be used to assist this task. We present a method that selects and ranks linked data resources that are semantically related to the user's interest. The objective is to focus the user's attention on a meaningful subset of highly informative resources. We extended spreading activation to typed graphs and coupled it with a graph sampling technique. The results selection and ranking is performed on--the-fly and doesn't require pre-processing. This allows addressing remote SPARQL endpoints. We describe first implementation on top of DBpedia. It is used by the Discovery Hub exploratory search system to select interesting resources, to support faceted browsing of the results, to provide explanations and to offer redirections to third-party services. Results of a user evaluation conclude the article.