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ACM SIGMOD Record, 2021
Due to the importance of linear algebra and matrix operations in data analytics, there has been a renewed interest in developing query languages that combine both standard relational operations and linear algebra operations. We survey aspects of the matrix query language MATLANG and extensions thereof, and connect matrix query languages to classical ...
Geerts, Floris +4 more
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Due to the importance of linear algebra and matrix operations in data analytics, there has been a renewed interest in developing query languages that combine both standard relational operations and linear algebra operations. We survey aspects of the matrix query language MATLANG and extensions thereof, and connect matrix query languages to classical ...
Geerts, Floris +4 more
openaire +2 more sources
Natural language query filtration in the Conceptual Query Language
Proceedings of the Thirtieth Hawaii International Conference on System Sciences, 2002Natural language (NL) interfaces for database query formulation have always been recognized as a much needed enhancement for end-users. Poor performances with earlier NL systems had led to a lull in research in this field. However, latter-day experiments and systems appear to be sufficiently more promising to warrant continued and further research in ...
V. Owei, null Hyeun-Suk Rhee, S. Navathe
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Information Sciences, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Update Languages vs. Query Languages
1992Two kinds of basic operations can be performed on a database: update it, i.e. modify the data values stored in it, and query it, i.e. ask questions about its data value. In this work we deal with update and query languages for the relational database model, introduced by Codd in [1], Some query languages were developed since the origin of this model, e.
R. Asher Hasson, Johann A. Makowsky
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2022
Modern era is characterized by data high availability. Databases is the most common approach used for storing large amount of data as they have a lot of advantages for data storage and manipulation.Additionally, the high data availability has emerged new data exploitation methods. The most commonly used are referred by the generic term knowledge mining.
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Modern era is characterized by data high availability. Databases is the most common approach used for storing large amount of data as they have a lot of advantages for data storage and manipulation.Additionally, the high data availability has emerged new data exploitation methods. The most commonly used are referred by the generic term knowledge mining.
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2011
The social web is becoming increasingly popular and important, because it creates the collective intelligence, which can produce more value than the sum of individuals. The social web uses the Semantic Web technology RDF to describe the social data in a machine-readable way.
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The social web is becoming increasingly popular and important, because it creates the collective intelligence, which can produce more value than the sum of individuals. The social web uses the Semantic Web technology RDF to describe the social data in a machine-readable way.
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VLT: Vision-Language Transformer and Query Generation for Referring Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Henghui Ding, Xudong Jiang
exaly