OQL: a query language for manipulating object-oriented databases
VLDB '89 Proceedings of the 15th international conference on Very large data bases
A query language for the O2 object-oriented databases
Proceedings of the second international workshop on Database programming languages
Next-generation database systems
Communications of the ACM
Fuzzy queries in multimedia database systems
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Object identity as a query language primitive
Journal of the ACM (JACM)
Optimizing Queries with Object Updates
Journal of Intelligent Information Systems - Special issue on functional approach to intelligent information systems
The object data standard: ODMG 3.0
The object data standard: ODMG 3.0
A formula for incorporating weights into scoring rules
Theoretical Computer Science - Special issue on the 6th International Conference on Database Theory—ICDT '97
Optimizing object queries using an effective calculus
ACM Transactions on Database Systems (TODS)
Fusion Via a Linear Combination of Scores
Information Retrieval
On Modeling Cost Functions for Object-Oriented Databases
IEEE Transactions on Knowledge and Data Engineering
A similarity based relational algebra for Web and multimedia data
Information Processing and Management: an International Journal - Modelling vagueness and subjectivity in information access
Formal semantics and analysis of object queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
ProbFuse: a probabilistic approach to data fusion
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
The VLDB Journal — The International Journal on Very Large Data Bases
Foundations and Trends in Databases
Towards a theory of search queries
Proceedings of the 12th International Conference on Database Theory
Towards a theory of search queries
ACM Transactions on Database Systems (TODS)
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The term "Big Data" became a buzzword and is widely used in both research and industrial worlds. Typically the concept of big data assumes a variety of different sources of information and velocity of complex analytical processing, rather than just a huge and growing volume of data. All variety, velocity, and volume create new research challenges, as nearly all techniques and tools commonly used in data processing have to be re-considered. Variety and uncertainty of big data require a mixture of exact and similarity search and grouping of complex objects based on different attributes. High-level declarative query languages are important in this context due to expressiveness and potential for optimization. In this talk we are mostly interested in an algebraic layer for complex query processing which resides between user interface (most likely, graphical) and execution engine in layered system architecture. We analyze the applicability of existing models and query languages. We describe a systematic approach to similarity handling of complex objects, simultaneous application of different similarity measures and querying paradigms, complex searching and querying, combined semi-structured and unstructured search. We introduce the adaptive abstract operations based on the concept of fuzzy set, which are needed to support uniform handling of different kinds of similarity processing. To ensure an efficient implementation, approximate algorithms with controlled quality are required to enable quality versus performance trade-off for timeliness of similarity processing. Uniform and adaptive operations enable high-level declarative definition of complex queries and provide options for optimization.