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31st Symposium of Advanced Database Systems, SEBD 2023

作者： Ioannidis, Yannis University of Athens Greece

On 3rd July 2023, Yannis Ioannidis delivered a keynote talk at the 31st Symposium on Advanced Database Systems in Galzignano Terme (Padua, Italy). The following is the abstract of his talk and a short biography. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： SEBD 2023 Keynote SQL User-Defined Functions yesql

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DETEXA: declarative extensible text exploration and analysis through SQL

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INTERNATIONAL JOURNAL ON DIGITAL LIBRARIES 2024年第3期25卷 457-469页

作者： Foufoulas, Yannis Zacharia, Eleni Dimitropoulos, Harry Manola, Natalia Ioannidis, Yannis Natl & Kapodistrian Univ Athens Dept Informat & Telecommun Panepistimiopolis 15784 Ilisia Greece Athena Res Ctr Artemidos 6 & Epidavrou Maroussi 15125 Greece

Metadata enrichment through text mining techniques is becoming one of the most significant tasks in digital libraries. Due to the exponential increase of open access publications, several new challenges have emerged. Raw data are usually big, unstructured, and come from heterogeneous data sources. In this paper, we introduce a text analysis framework implemented in extended SQL that exploits the scalability characteristics of modern database management systems. The purpose of this framework is to provide the opportunity to build performant end-to-end text mining pipelines which include data harvesting, cleaning, processing, and text analysis at once. SQL is selected due to its declarative nature which offers fast experimentation and the ability to build APIs so that domain experts can edit text mining workflows via easy-to-use graphical interfaces. Our experimental analysis demonstrates that the proposed framework is very effective and achieves significant speedup, up to three times faster, in common use cases compared to other popular approaches.

关键词： Text analytics yesql User-defined functions

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DETEXA: Declarative Extensible Text Exploration and Analysis 26th

DETEXA: Declarative Extensible Text Exploration and Analysis

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26th International Conference on Theory and Practice of Digital Libraries (TPDL)

作者： Foufoulas, Yannis Zacharia, Eleni Dimitropoulos, Harry Manola, Natalia Ioannidis, Yannis Natl & Kapodistrian Univ Athens Athens Greece Athena Res Ctr Athens Greece

ISBN: (纸本)9783031168024;9783031168017

Metadata enrichment through text mining techniques is becoming one of the most significant tasks in digital libraries. Due to the pandemic increase of open access publications, several new challenges have emerged. Raw data are usually big, unstructured, and come from heterogeneous data sources. In this paper, we introduce a text analysis framework which is implemented in extended SQL and exploits the scalability characteristics of modern database management systems. The purpose of this framework is to provide the opportunity to build performant end-to-end text mining pipelines which includes data harvesting, cleaning, processing, and text analysis at once. SQL is selected due to its declarative nature which offers fast experimentation and the ability to build APIs, so that domain experts can edit text mining workflows via easy-to-use graphical interfaces. Our experimental analysis demonstrates that the proposed framework is very effective and achieves significant speedup in common use cases compared to other popular approaches.

关键词： Text analytics yesql User-defined functions

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