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[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 is available (since September 2016) as a companion to a sequence of online courses in Text Analytics[3].
References
- ^ 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
External links
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