Adaptive faceted browser for navigation in open information spaces
Proceedings of the 16th international conference on World Wide Web
Ranking very many typed entities on wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Understanding user's query intent with wikipedia
Proceedings of the 18th international conference on World wide web
Language-model-based ranking in entity-relation graphs
Proceedings of the First International Workshop on Keyword Search on Structured Data
From information to knowledge: harvesting entities and relationships from web sources
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Finding support sentences for entities
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Entity ranking using Wikipedia as a pivot
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
ReFER: effective relevance feedback for entity ranking
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Query relaxation for entity-relationship search
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Chapter 3: search for knowledge
Search Computing
Hierarchical target type identification for entity-oriented queries
Proceedings of the 21st ACM international conference on Information and knowledge management
Learning joint query interpretation and response ranking
Proceedings of the 22nd international conference on World Wide Web
Robust question answering over the web of linked data
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Aggregated search: A new information retrieval paradigm
ACM Computing Surveys (CSUR)
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In this paper we present a technique for ranking the most important types or categories for a given query. Rather than trying to find the category of the query, known as query categorization, our approach seeks to find the most important types related to the query results. Not necessarily the query category falls into this ranking of types and therefore our approach can be complementary.