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Details

  • Name

    Inês Koch
  • Cluster

    Computer Science
  • Role

    Research Assistant
  • Since

    03rd January 2019
002
Publications

2022

Integration of models for linked data in cultural heritage and contributions to the FAIR principles

Authors
Koch, I;

Publication
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries

Abstract
Incorporating linked data-based models into the process of describing cultural objects is increasingly important for cultural heritage. Communities such as libraries, archives, and museums have developed and adopted models specific to their contexts. Without a trivial solution, choosing models to support more general applications is challenging. This Ph.D. aims to analyze existing solutions and practices in these domains and propose validated solutions for the discovery, access, interoperability, and reuse of cultural objects, following the FAIR principles. Transversal to the base models used, this research intends to adopt solutions that balance the simplicity of the models with the satisfaction of the requirements. © 2022 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

2020

ArchOnto, a CIDOC-CRM-Based Linked Data Model for the Portuguese Archives

Authors
Koch, I; Ribeiro, C; Lopes, CT;

Publication
Digital Libraries for Open Knowledge - 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, Lyon, France, August 25-27, 2020, Proceedings

Abstract

2020

Knowledge Discovery from ISAD, Digital Archive Data, into ArchOnto, a CIDOC-CRM based Linked Model

Authors
Melo, D; Rodrigues, IP; Koch, I;

Publication
Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2020, Volume 2: KEOD, Budapest, Hungary, November 2-4, 2020.

Abstract
This paper presents an automatic semantic migration prototype based on Knowledge Discovery from Digital Archive Data for ontology population in the domain of Archives metadata, ISAD(G). Natural Language Processing (NLP) techniques are used for language processing and Semantic Web techniques for querying and updating the Ontology ArchOnto, a CIDOC-CRM (Conceptual Reference Model) extension. This work is done in the context of project EPISA (Entity and Property Inference for Semantic Archives) where the Portuguese National Archives, Torre do Tombo (ANTT) is one of the partners. The data model and description vocabularies we adopted are built upon the CIDOC-CRM standard, an ontology, developed for museums by the International Committee for Documentation (CIDOC) of the International Council of Museums (ICOM). A detailed example of a baptism document metadata migration is presented to highlight the challenges on the natural language interpretation and the ontology representation. Copyright

2019

Knowledge Graph Implementation of Archival Descriptions Through CIDOC-CRM

Authors
Koch, I; Freitas, N; Ribeiro, C; Lopes, CT; da Silva, JR;

Publication
DIGITAL LIBRARIES FOR OPEN KNOWLEDGE, TPDL 2019

Abstract
Archives have well-established description standards, namely the ISAD(G) and ISAAR(CPF) with a hierarchical structure adapted to the nature of archival assets. However, as archives connect to a growing diversity of data, they aim to make their representations more apt to the so-called linked data cloud. The corresponding move from hierarchical, ISAD-conforming descriptions to graph counterparts requires state-of-the-art technologies, data models and vocabularies. Our approach addresses this problem from two perspectives. The first concerns the data model and description vocabularies, as we adopt and build upon the CIDOC-CRM standard. The second is the choice of technologies to support a knowledge graph, including a graph database and an Object Graph Mapping library. The case study is the Portuguese National Archives, Torre do Tombo, and the overall goal is to build a CIDOC-CRM-compliant system for document description and retrieval, to be used by professionals and the public. The early stages described here include the design of the core data model for archival records represented as the ArchOnto ontology and its embodiment in the ArchGraph knowledge graph. The goal of a semantic archival information system will be pursued in the migration of existing records to the richer representation and the development of applications supported on the graph. © Springer Nature Switzerland AG 2019.