Cargando…

Case Study I: Ontology-Based Multi-Agent System for Human Disease Studies

In this chapter, we shall put the Onto-Agents Methodology into practice and use it step by step to develop a Generic Human Disease Ontology (GHDO) and to design a multi-agent system that can use the designed GHDO for intelligent information retrieval. In Section 2, we discuss the domain of human dis...

Descripción completa

Detalles Bibliográficos
Autores principales: Hadzic, Maja, Wongthongtham, Pornpit, Dillon, Tharam, Chang, Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161374/
http://dx.doi.org/10.1007/978-3-642-01904-3_11
_version_ 1783522943430557696
author Hadzic, Maja
Wongthongtham, Pornpit
Dillon, Tharam
Chang, Elizabeth
author_facet Hadzic, Maja
Wongthongtham, Pornpit
Dillon, Tharam
Chang, Elizabeth
author_sort Hadzic, Maja
collection PubMed
description In this chapter, we shall put the Onto-Agents Methodology into practice and use it step by step to develop a Generic Human Disease Ontology (GHDO) and to design a multi-agent system that can use the designed GHDO for intelligent information retrieval. In Section 2, we discuss the domain of human diseases, the purpose of the ontology, the community of users and agents for which this ontology is being developed, and applications based on the designed ontology. The aligning and merging of existing medical ontologies against the defined ontology structure is discussed in Section 3. Section 4 describes how to design the ontology base, while Section 5 explains the design of the ontology commitment layer. In Section 6, we discuss the evaluation of the GHDO. In Section 7, we identify and describe different groups of agents according to their functions and responsibilities within the system. In Section 8, we describe a mechanism by which GHDO ontology is used in this system during the processes of problem solving, task and result sharing, and assembling of results. In Section 9, we focus on the structural organization of the agents within the system and define agents’ collaborations. Individual agent structure and agents’ components are described in Section 10. In Section 11, we discuss security issues within the multi-agent system. Examples of the use of the designed systems are given in Section 12.
format Online
Article
Text
id pubmed-7161374
institution National Center for Biotechnology Information
language English
publishDate 2009
record_format MEDLINE/PubMed
spelling pubmed-71613742020-04-16 Case Study I: Ontology-Based Multi-Agent System for Human Disease Studies Hadzic, Maja Wongthongtham, Pornpit Dillon, Tharam Chang, Elizabeth Ontology-Based Multi-Agent Systems Article In this chapter, we shall put the Onto-Agents Methodology into practice and use it step by step to develop a Generic Human Disease Ontology (GHDO) and to design a multi-agent system that can use the designed GHDO for intelligent information retrieval. In Section 2, we discuss the domain of human diseases, the purpose of the ontology, the community of users and agents for which this ontology is being developed, and applications based on the designed ontology. The aligning and merging of existing medical ontologies against the defined ontology structure is discussed in Section 3. Section 4 describes how to design the ontology base, while Section 5 explains the design of the ontology commitment layer. In Section 6, we discuss the evaluation of the GHDO. In Section 7, we identify and describe different groups of agents according to their functions and responsibilities within the system. In Section 8, we describe a mechanism by which GHDO ontology is used in this system during the processes of problem solving, task and result sharing, and assembling of results. In Section 9, we focus on the structural organization of the agents within the system and define agents’ collaborations. Individual agent structure and agents’ components are described in Section 10. In Section 11, we discuss security issues within the multi-agent system. Examples of the use of the designed systems are given in Section 12. 2009 /pmc/articles/PMC7161374/ http://dx.doi.org/10.1007/978-3-642-01904-3_11 Text en © Springer-Verlag Berlin Heidelberg 2009 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Hadzic, Maja
Wongthongtham, Pornpit
Dillon, Tharam
Chang, Elizabeth
Case Study I: Ontology-Based Multi-Agent System for Human Disease Studies
title Case Study I: Ontology-Based Multi-Agent System for Human Disease Studies
title_full Case Study I: Ontology-Based Multi-Agent System for Human Disease Studies
title_fullStr Case Study I: Ontology-Based Multi-Agent System for Human Disease Studies
title_full_unstemmed Case Study I: Ontology-Based Multi-Agent System for Human Disease Studies
title_short Case Study I: Ontology-Based Multi-Agent System for Human Disease Studies
title_sort case study i: ontology-based multi-agent system for human disease studies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161374/
http://dx.doi.org/10.1007/978-3-642-01904-3_11
work_keys_str_mv AT hadzicmaja casestudyiontologybasedmultiagentsystemforhumandiseasestudies
AT wongthongthampornpit casestudyiontologybasedmultiagentsystemforhumandiseasestudies
AT dillontharam casestudyiontologybasedmultiagentsystemforhumandiseasestudies
AT changelizabeth casestudyiontologybasedmultiagentsystemforhumandiseasestudies