Multiple Domains Knowledge Graph Search via Heuristic Algorithm for Answering Complex Questions
- Authors
- Kim, J.; Kim, J.; Jo, H.; Jung, Jason J.; Camacho, D.
- Issue Date
- Jul-2021
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Complex Question; Heuristic Algorithm; Knowledge Graph; Multiple Domains
- Citation
- Proceedings - 2021 10th International Congress on Advanced Applied Informatics, IIAI-AAI 2021, pp 464 - 469
- Pages
- 6
- Journal Title
- Proceedings - 2021 10th International Congress on Advanced Applied Informatics, IIAI-AAI 2021
- Start Page
- 464
- End Page
- 469
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/59857
- DOI
- 10.1109/IIAI-AAI53430.2021.00080
- ISSN
- 0000-0000
- Abstract
- Question answering (QA) system is widely used because it finds the information that users want. Users can ask a variety of questions to the QA system, and the type of question is divided into a simple question and a complex question. A simple question is one query with one question while a complex question is one query with two or more questions. Although many studies have greatly improved the ability of the QA system to answer simple questions, answering complex questions remains a difficult problem. To solve the problem, we use the information from multiple domains and propose a method to quickly retrieve information from many data through a heuristic algorithm. For experiments, we use the movie, person, and country domain data as a knowledge base for the QA system, which is able to help solve the complex question. Compared to the widely used graph search algorithm Breadth-First Search (BFS) and Depth-First Search (DFS), the proposed method reduces the search time by 62% and 44% for finding the answers, respectively.
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- Appears in
Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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