Building an Ontology-Oriented Archaeological Knowledge-Base “ArcOnBase” in Mainland Southeast Asia

Mamoru Shibayama, S. Morimoto, Akiko Tashiro, Akihiro Kameda, Taizo Yamada, S. Hara
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Abstract

Using archaeological site data for Mainland Southeast Asia, this study aims to develop a knowledge-base and systemize ontology-oriented knowledge for site/artifact data. The description of site/artifact data with metainformation in general is extremely difficult in terms of standardization, and neither effective nor integrated management is possible using relational databases during recording/management, surveying/verification, or publication/feedback. Therefore, using site data (approx. 14,000 data points) on Myanmar, Thailand, and Cambodia, this study is to attempt the structuring/systemization of knowledge through morphological or network analysis of description data, and is to build the knowledge-base ArcOnBase using this structured knowledge. This empirical study will build a knowledge-base, making it possible to search data family that are semantically related in terms, for example, of characteristics and similarities such as regional characteristics and historical investigations, religion, ethnicity, government, and trade, and also includes the capability of accumulating newly derived knowledge. The study will contribute to the formulation of principles for sharing of resources related to cultural asset and heritage information.
建构面向本体论的东南亚大陆考古知识库“ArcOnBase”
本研究以东南亚大陆的考古遗址数据为基础,建立遗址/文物数据的知识库,并将本体导向的知识系统化。通常,用元信息描述站点/工件数据在标准化方面是极其困难的,并且在记录/管理、测量/验证或发布/反馈期间,使用关系数据库既不可能进行有效的管理,也不可能进行集成管理。因此,使用现场数据(大约。14000个数据点),本研究试图通过对描述数据的形态或网络分析对知识进行结构化/系统化,并利用这种结构化的知识构建知识库ArcOnBase。本实证研究将建立一个知识库,使搜索语义相关的数据族成为可能,例如,特征和相似性,如区域特征和历史调查,宗教,种族,政府和贸易,还包括积累新衍生知识的能力。这项研究将有助于制定与文化资产和遗产资料有关的资源共享原则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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