A strategy for archives metadata representation on CIDOC-CRM and knowledge discovery

Author:

Melo Dora123,Rodrigues Irene Pimenta42,Varagnolo Davide4

Affiliation:

1. Coimbra Business School|ISCAC, Polytechnic of Coimbra, Portugal

2. NOVA Laboratory for Computer Science and Informatics, NOVA LINCS, Portugal

3. Polytechnic of Coimbra, Coimbra Business School Research Center|ISCAC, Coimbra, Portugal

4. Department of Informatics, University of Évora, Portugal

Abstract

This paper presents a strategy for the semantic migration of Portuguese National Archives records into CIDOC-CRM standard, an ontology developed for museums, within the context of the EPISA project. The approach to automatically populate the CIDOC-CRM is based on Mapping Description Rules to semantically translate the archives descriptive information into CIDOC-CRM representation. The compliance of the CIDOC-CRM model recommendations guarantees that the populated CIDOC-CRM ontology of archives descriptive information verifies interoperability, and could be linked and integrated with other populated CIDOC-CRM ontologies. In the information modelling, requirements on the mapping representation, due to the intent of interpreting natural language text to automatically extract information of metadata text fields and to interpret natural language queries, are taken into account. To automatically interpret the Mapping Description Rules, OWL API was used to obtain the set of assertions that represents the information in the target ontology and two datasets are available with some migration examples. The exploration of the knowledge representation is done through some Description Logic queries to highlight the advantages of having this new representation of the National Archives. The evaluation of the resulting representation can be done automatically proving its correctness for the metadata that has a direct representation in CIDOC-CRM.

Publisher

IOS Press

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference31 articles.

1. A challenge for historical research: Making data FAIR using a collaborative ontology management environment (OntoME);Beretta;Semantic Web,2020

2. F. Beretta and V. Alamercery, Workflow for communal ontology management: Aligning data models with OntoME, in: APOLLONIS Workshop «Historical Content Metadata», 2019.

3. The semantic mapping of archival metadata to the CIDOC CRM ontology;Bountouri;Journal of Archival Organization,2011

4. MODEL OF DATA EXTRACTION IN THE INNOVATION ENVIRONMENTS OF THE STATE OF SÃO PAULO BASED ON SEMANTIC TECHNOLOGIES

5. Definition of the CIDOC conceptual reference model, 7.0.1 edn, ICOM/CIDOC-CRM Special Interest Group, 2020.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LLM-Powered Natural Language Text Processing for Ontology Enrichment;Applied Sciences;2024-07-04

2. Evaluating a Radius-based Pipeline for Question Answering over Cultural (CIDOC-CRM based) Knowledge Graphs;Proceedings of the 34th ACM Conference on Hypertext and Social Media;2023-09-04

3. From ISAD(G) to Linked Data Archival Descriptions;Linking Theory and Practice of Digital Libraries;2023

4. The Semantic Mapping of RiC-CM to CIDOC-CRM;Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration;2023

5. Archives Metadata Text Information Extraction into CIDOC-CRM;Communications in Computer and Information Science;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3