Knowledge Base for a Disaster Management Dialogue System
Hao-Yung Chan, Cheng-Hsuan Yang, Meng-Han Tsai, Shih-Chung Kang · Proceedings of the ... ISARC · 2018
Knowledge Base for a Disaster Management Dialogue System Hao-Yung Chan, Cheng-Hsuan Yang, Meng-Han Tsai and Shih-Chung Kang Pages 286-291 (2018 Proceedings of the 35th ISARC, Berlin, Germany, ISBN 978-3-00-060855-1) Abstract: This research aims to develop a knowledge base for a disaster management question-answering dialogue system. The rapid growth of the amount of data has led to the variance of data in terms of their formats, sources, and attributes. Hence, the difficulties of decision makers to accomplish their missions accurately and efficiently have increased. To solve this problem, we developed a question-answering dialogue system for disaster management. In our previous research, we found that the information most likely retrieved in response to a users request can be determined by calculating the similarity between the keywords and the users input in a handcrafted keyword-information mapping table. However, we also noticed that managing the mapping table was a tedious task. Moreover, for the inputs that had more than one keyword, the system was unable to provide integrated information. Therefore, we constructed a knowledge base to optimize the performance and maintainability of the system. To build the knowledge base for disaster management, we designed the domain model by performing an abstraction on the knowledge of professional information providers and the required data on disaster management, while considering their source, certainty, and spatiotemporal features. The query of requested information from the knowledge base is composed of mentioned entities in the users input. For the dialogue system to recognize the entities, we applied entity recognition. The subtasks include segmentation, tagging, similarity calculation with the names of the entities in the knowledge base, and intent detection to determine the desired knowledge of the user. Keywords: Knowledge base, Disaster management, Entity Recognition DOI: https://doi.org/10.22260/ISARC2018/0041 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley