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Development of an NLP Search Platform forthe Retrieval of Critical Incidents

  • The Faculty of Languages at the University of Applied Sciences Zwickau has a knowledge base on critical incidents. Critical incidents capture and structure insights from critical situations in international mobility [Fet15]. With the rapid development of data and information, the research platform CIs to Go has a clear need for a central search infrastructure that will allow users to find and discover more relevant critical incidenst (or intercultural experinces as named in the research platform CIs to Go). The data and information about critical incidents are stored in open-source relational database management system PostgreSQL. Nowadays it is inconceivable to use traditional RDBMS tools to analyze the data as they grow very fast. The amount of information has steadily increased for years. Big Data provides a solution for analyzing large amounts of data. Many search engine providers offer the solution for analyzing large volumes of data, and companies are looking for open source solutions that can quickly and reliably search, analyze, and evaluate large volumes of data. Elasticsearch is a Lucene based search engine. Elasticsearch uses the concept of indexing to speed up the search. This search engine provides a variety of options for free text queries, fuzzy matching and indexing data. First, search engines and NLP toolkits are reviewed. This thesis also defines the functional requirements of these tools. Then, an evaluation is given by indicating the positive and negative aspects of the tools. This thesis presents a complete search engine to be deployed on the research platform CIs to Go as a new visual tool that helps in the process of searching for and finding intercultural experiences.

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Author:Baktybek Aidarbekov
Title Additional (German):Entwicklung einer NLP-Suchplattform fürdas Auffinden kritischer Ereignisse
Advisor:Rainer WasingerGND, Frank GrimmGND
Document Type:Master's Thesis
Language:English
Name:Westsächsische Hochschule Zwickau
Innere Schneeberger 23, 08056 Zwickau
Year of first Publication:2019
Publishing Institution:Westsächsische Hochschule Zwickau
Tag:Critical incidents; NLP; Search Platform; Suchplattform; natural language processing; search platform
Page Number:89 Seiten, 26 Abb., 17 Tab., 29 Lit.
Faculty:Westsächsische Hochschule Zwickau / Physikalische Technik, Informatik
Release Date:2019/10/30