Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Efficiently mining long patterns from databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Mining Molecular Fragments: Finding Relevant Substructures of Molecules
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Enabling domain experts to convey questions to a machine: a modified, template-based approach
Proceedings of the 2nd international conference on Knowledge capture
Automated Question Answering: Review of the Main Approaches
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Semantic Pattern for User-Interactive Question Answering
SKG '06 Proceedings of the Second International Conference on Semantics, Knowledge, and Grid
From SPARQL to rules (and back)
Proceedings of the 16th international conference on World Wide Web
Information retrieval and digital libraries: lessons of research
Proceedings of the 2006 international workshop on Research issues in digital libraries
Ontology-based question answering for digital libraries
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
Optimizing query shortcuts in RDF databases
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
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Query patterns enable effective information tools and provide guidance to users interested in posing complex questions about objects. Semantically, query patterns represent important questions, while syntactically they impose the correct formulation of queries. In this paper we address the development of query patterns at successive representation layers so as to expose dominant information requirements on one hand, and structures that can support effective user interaction and efficient implementation of query processing on the other. An empirical study for the domain of cultural heritage reveals an initial set of recurrent questions, which are then reduced to a modestly sized set of query patterns. A set of Datalog rules is developed in order to formally define these patterns which are also expressed as SPARQL queries.