Document Searching System based on Natural Language Query Processing for Vietnam Open Courseware Library
Dang Tuan Nguyen, Ha Quy-Tinh Luong

TL;DR
This paper presents a natural language query-based document searching system for the Vietnam Open Courseware Library, supporting Vietnamese questions and combining traditional information retrieval with question answering techniques.
Contribution
It introduces the first Vietnamese question-answering search system for the Vietnam OpenCourseWare, integrating traditional IR methods with QA research.
Findings
High precision in course search results
Supports Vietnamese natural language queries
First system of its kind for Vietnam OpenCourseWare
Abstract
The necessary of buiding the searching system being able to support users expressing their searching by natural language queries is very important and opens the researching direction with many potential. It combines the traditional methods of information retrieval and the researching of Question Answering (QA). In this paper, we introduce a searching system built by us for searching courses on the Vietnam OpenCourseWare Program (VOCW). It can be considered as the first tool to be able to perform the user's Vietnamese questions. The experiment results are rather good when we evaluate this system on the precision
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Taxonomy
TopicsSemantic Web and Ontologies · Service-Oriented Architecture and Web Services · Advanced Database Systems and Queries
