IBM SystemT
IBM SystemT is a declarative information extraction system. It was first built in 2005, as a research project at IBM's IBM Almaden Research Center. Its name is partially inspired by System R, a seminal project from the same research center. SystemT comprises the following three main components: (1) AQL, a declarative rule language with a similar syntax to SQL; (2) Optimizer, which accepts AQL statements as input and generates high-performance algebraic execution plans; and (3) Executing engine, which executes the plan generated by the Optimizer and performs information extraction over input documents. SystemT is available as part of IBM BigInsights, and has also been taught in multiple universities around the globe. A version of SystemT was available (starting in September 2016) as a companion to a sequence of online courses in Text Analytics.
| IBM SystemT | |
|---|---|
| Developer | IBM |
| Written in | AQL, Java |
| Operating system | Linux, macOS, Windows |
| Type | Information Extraction, Text mining |
| Website | SystemT |
IBM SystemT is a declarative information extraction system. It was first built in 2005, as a research project at IBM's IBM Almaden Research Center. Its name is partially inspired by System R, a seminal project from the same research center.
SystemT[1] comprises the following three main components: (1) AQL, a declarative rule language with a similar syntax to SQL; (2) Optimizer, which accepts AQL statements as input and generates high-performance algebraic execution plans; and (3) Executing engine, which executes the plan generated by the Optimizer and performs information extraction over input documents.
SystemT is available as part of IBM BigInsights,[2] and has also been taught in multiple universities around the globe. A version of SystemT was available (starting in September 2016) as a companion to a sequence of online courses in Text Analytics.[3][4]
References
[edit]- ^ Chiticariu, Laura; Krishnamurthy, Rajasekar; Li, Yunyao; Raghavan, Sriram; Reiss, Frederick R.; Vaithyanathan, Shivakumar (2010-01-01). "SystemT: An Algebraic Approach to Declarative Information Extraction". Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. ACL '10. Uppsala, Sweden: Association for Computational Linguistics: 128–137.
- ^ IBM BigInsights
- ^ Text Analytics: Getting Results with SystemT
- ^ Chiticariu, Laura; Danilevsky, Marina; Li, Yunyao; Reiss, Frederick; Zhu, Huaiyu (2018). "SystemT: Declarative Text Understanding for Enterprise". Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers). Association for Computational Linguistics. pp. 76–83. doi:10.18653/v1/N18-3010.
External links
[edit]- IBM SystemT, 9 February 2021
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