IBM SystemT: Difference between revisions
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{{Infobox software |
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SystemT includes the following three main components: (1) AQL, a declarative rule language with similar syntax as SQL; (2) Optimizer, which takes AQL statements as input and generates high-performance algebraic execution plans; and (3) Execute engine, which executes the plan generated by the Optimizer and performs information extraction over input documents. |
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| name = IBM SystemT |
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| developer = [[IBM]] |
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| operating system = [[Linux]], [[macOS]], [[Windows]] |
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| programming language = {{ill|Annotation Query Language|lt=AQL|de}}, [[Java (programming language)|Java]] |
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| genre = [[Information Extraction]], [[Text mining]] |
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| website = {{URL|1=https://researcher.watson.ibm.com/researcher/view_group.php?id=1264|2=SystemT}} |
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SystemT<ref>{{Cite journal|last=Chiticariu|first=Laura|last2=Krishnamurthy|first2=Rajasekar|last3=Li|first3=Yunyao|last4=Raghavan|first4=Sriram|last5=Reiss|first5=Frederick R.|last6=Vaithyanathan|first6=Shivakumar|date=2010-01-01|title=SystemT: An Algebraic Approach to Declarative Information Extraction|url=http://dl.acm.org/citation.cfm?id=1858681.1858695|journal=Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics|series=ACL '10|location=Uppsala, Sweden|publisher=Association for Computational Linguistics|pages=128–137}}</ref> 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. |
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SystemT has been [http://researcher.watson.ibm.com/researcher/view_group_subpage.php?id=6337 taught in multiple universities around the globe] and as [https://bigdatauniversity.com/learn/text_analytics/?cm_mc_uid=98595188625114737964240&cm_mc_sid_50200000=1478903036 online courses] since late September 2016. |
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SystemT is available as part of IBM BigInsights,<ref>{{Citation | url = https://www.ibm.com/analytics/us/en/technology/biginsights/ | title = IBM BigInsights}}</ref> 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.<ref>{{Citation | url = https://cognitiveclass.ai/courses/systemt/ | title = Text Analytics: Getting Results with SystemT}}</ref><ref>{{Cite journal|last=Chiticariu|first=Laura|last2=Danilevsky|first2=Marina|last3=Li|first3=Yunyao|last4=Reiss|first4=Frederick|last5=Zhu|first5=Huaiyu|title=SystemT: Declarative Text Understanding for Enterprise|url=https://www.aclweb.org/anthology/N18-3010|journal=Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)|publisher=Association for Computational Linguistics|pages=76–83}}</ref> |
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==References== |
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==External links== |
==External links== |
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* {{Citation | url = http://researcher.watson.ibm.com/researcher/view_group.php?id=1264 | title = IBM SystemT}} |
* {{Citation | url = http://researcher.watson.ibm.com/researcher/view_group.php?id=1264 | title = IBM SystemT}} |
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* {{Citation | url = https://bigdatauniversity.com/learn/text_analytics/?cm_mc_uid=98595188625114737964240&cm_mc_sid_50200000=1478903036 | title = Text Analytics: Getting Results with SystemT}}. |
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[[Category:IBM software]] |
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Latest revision as of 10:40, 17 April 2023
| Developer(s) | 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. "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: 76–83.
External links
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