Distributed and Parallel Databases
A unifying probability measure for logic-based similarity conditions on uncertain relational data
Proceedings of the 1st Workshop on New Trends in Similarity Search
Towards quantum-based DB+IR processing based on the principle of polyrepresentation
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
A probabilistic interpretation for a geometric similarity measure
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
A user interaction model based on the principle of polyrepresentation
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
QSQL: incorporating logic-based retrieval conditions into SQL
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
A poset based approach for condition weighting
AMR'08 Proceedings of the 6th international conference on Adaptive Multimedia Retrieval: identifying, Summarizing, and Recommending Image and Music
Approaching multimedia retrieval from a polyrepresentative perspective
AMR'10 Proceedings of the 8th international conference on Adaptive Multimedia Retrieval: context, exploration, and fusion
Quantum logic based MPEG query format algebra
AMR'10 Proceedings of the 8th international conference on Adaptive Multimedia Retrieval: context, exploration, and fusion
A permeable expert search strategy approach to multimodal retrieval
Proceedings of the 4th Information Interaction in Context Symposium
Proceedings of the 13th International Conference on Computer Systems and Technologies
A top-k filter for logic-based similarity conditions on probabilistic databases
ADBIS'12 Proceedings of the 16th East European conference on Advances in Databases and Information Systems
ProQua: a system for evaluating logic-based scoring functions on uncertain relational data
Proceedings of the 16th International Conference on Extending Database Technology
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Traditional database query languages are based on set theory and crisp first order logic. However, many applications require retrieval-like queries which return result objects associated with a degree of being relevant to the query. Historically, retrieval systems estimate relevance by exploiting hidden object semantics whereas query processing in database systems relies on matching select-conditions with attribute values. Thus, different mechanisms were developed for database and information retrieval systems. In consequence, there is a lack of support for queries involving both retrieval and database search terms. In this work, we introduce the quantum query language (QQL). Its underlying unifying theory is based on the mathematical formalism of quantum mechanics and quantum logic. Van Rijsbergen already discussed the strong relation between the formalism of quantum mechanics and information retrieval. In this work, we interrelate concepts from database query processing to concepts from quantum mechanics and logic. As result, we obtain a common theory which allows us to incorporate seamlessly retrieval search into traditional database query processing.