Open AccessBuilding a Knowledge Base for QA System by Linking Korean Vocabulary and Wikipedia
Author(s) -
Yong-Bae Lee,
Pyung Kim,
Jungsik Yang
Publication year - 2019
Publication title -
international journal of higher education
Language(s) - English
Resource type - Journals
eISSN - 1927-6052
pISSN - 1927-6044
DOI - 10.5430/ijhe.v8n3p103
Subject(s) - workbench , vocabulary , computer science , knowledge base , process (computing) , word (group theory) , controlled vocabulary , base (topology) , world wide web , natural language processing , information retrieval , knowledge management , artificial intelligence , linguistics , programming language , visualization , mathematical analysis , philosophy , mathematics
For a QA system it's very important to have a notion of vocabulary used in questions and for building correct answers. Especially, when a word represents a concept, one can use related lexical instances to understand it and further extend the knowledge by using the associated information. In this work, we suggest a process of building a knowledge base for such concepts as people, organizations, and places, and linking their instances to Wikipedia articles. We also develop a workbench for KB building. This workbench should efficiently support all features needed to collect necessary data and build the knowledge base. We have created 150,941 links to Korean Wikipedia for 2,394 instances of Korean vocabulary. This KB can be used in QA systems to extend questions, while the workbench can be used to build the KB itself.