Evaluation of Document and Search Query Processing Frameworks

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/202651
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Type: Examensarbete för masterexamen
Master Thesis
Title: Evaluation of Document and Search Query Processing Frameworks
Authors: Svensson, Tobias
Abstract: As search becomes a vital cornerstone of any organization and as expectations and demands on ndability and search steadily increase, there is a need for high-performance, scalable and simple Text Processing Frameworks to implement document processing solutions. Today, there are many open source solutions available to this end. In this thesis, the processing frameworks GATE, UIMA, OpenPipeline, Hydra and Storm are analyzed and compared. We investigate the impact of parallelism and distribution on throughput and performance. Additionally, the possibilities and demands of performing Natural Language Processing tasks on real-time search queries is analyzed. The feasibility of using the processing frameworks for this task is investigated and the results are discussed. Finally, recommendations are made for which kind of system to implement for di erent use cases and improvements to existing systems are suggested.
Keywords: Data- och informationsvetenskap;Computer and Information Science
Issue Date: 2014
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/202651
Collection:Examensarbeten för masterexamen // Master Theses

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