2024
Nguyen, H.; Pham, V.; Ngo, H. Q.; Huynh, A.; Nguyen, B.; Machado, J.
Intelligent search system for resume and labor law Journal Article
Em: PeerJ Computer Science, vol. 10, 2024, ISSN: 23765992, (cited By 0).
Resumo | Links | BibTeX | Etiquetas: Employment; Insurance; Knowledge representation; Laws and legislation; Personnel; Search engines, Intelligent search systems; Job description; Knowledge-based systems; Knowledge-representation; Labor laws; Legal documents; Ontology's; Searching systems; Talent acquisition; Unemployment insurance, Ontology
@article{Nguyen2024,
title = {Intelligent search system for resume and labor law},
author = {H. Nguyen and V. Pham and H. Q. Ngo and A. Huynh and B. Nguyen and J. Machado},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185847238&doi=10.7717%2fpeerj-cs.1786&partnerID=40&md5=07e26e014a02a4fb13dc43bbce9a4e56},
doi = {10.7717/peerj-cs.1786},
issn = {23765992},
year = {2024},
date = {2024-01-01},
journal = {PeerJ Computer Science},
volume = {10},
publisher = {PeerJ Inc.},
abstract = {Labor and employment are important issues in social life. The demand for online job searching and searching for labor regulations in legal documents, particularly regarding the policy for unemployment benefits, is essential. Nowadays, each function has some programs for its working. However, there is no program that combines both functions. In practice, when users seek a job, they may be unemployed or want to transfer to another work. Thus, they are required to search for regulations about unemployment insurance policies and related information, as well as regulations about workers working smoothly and following labor law. Ontology is a useful technique for representing areas of practical knowledge. This article proposes an ontology-based method for solving labor and employment-related problems. First, we construct an ontology of job skills to match curriculum vitae (CV) and job descriptions (JD). In addition, an ontology for representing labor law documents is proposed to aid users in their search for legal labor law regulations. These ontologies are combined to construct the knowledge base of a job-searching and labor law-searching system. In addition, this integrated ontology is used to study several issues involving the matching of CVs and JDs and the search for labor law issues. A system for intelligent resume searching in information technology is developed using the proposed method. This system also incorporates queries pertaining to Vietnamese labor law policies regarding unemployment and healthcare benefits. The experimental results demonstrate that the method designed to assist job seekers and users searching for legal labor documents is effective. © 2024 Nguyen et al.},
note = {cited By 0},
keywords = {Employment; Insurance; Knowledge representation; Laws and legislation; Personnel; Search engines, Intelligent search systems; Job description; Knowledge-based systems; Knowledge-representation; Labor laws; Legal documents; Ontology's; Searching systems; Talent acquisition; Unemployment insurance, Ontology},
pubstate = {published},
tppubtype = {article}
}
Labor and employment are important issues in social life. The demand for online job searching and searching for labor regulations in legal documents, particularly regarding the policy for unemployment benefits, is essential. Nowadays, each function has some programs for its working. However, there is no program that combines both functions. In practice, when users seek a job, they may be unemployed or want to transfer to another work. Thus, they are required to search for regulations about unemployment insurance policies and related information, as well as regulations about workers working smoothly and following labor law. Ontology is a useful technique for representing areas of practical knowledge. This article proposes an ontology-based method for solving labor and employment-related problems. First, we construct an ontology of job skills to match curriculum vitae (CV) and job descriptions (JD). In addition, an ontology for representing labor law documents is proposed to aid users in their search for legal labor law regulations. These ontologies are combined to construct the knowledge base of a job-searching and labor law-searching system. In addition, this integrated ontology is used to study several issues involving the matching of CVs and JDs and the search for labor law issues. A system for intelligent resume searching in information technology is developed using the proposed method. This system also incorporates queries pertaining to Vietnamese labor law policies regarding unemployment and healthcare benefits. The experimental results demonstrate that the method designed to assist job seekers and users searching for legal labor documents is effective. © 2024 Nguyen et al.
2017
Silva, A.; Portela, F.; Santos, M. F.; Abelha, A.; Machado, J.
An ontology for mapping cerebral death Proceedings Article
Em: S., Reis L. P. Rocha A. Costanzo (Ed.): pp. 305-311, Springer Verlag, 2017, ISSN: 21945357, (cited By 1; Conference of 5th World Conference on Information Systems and Technologies, WorldCIST ; Conference Date: 11 April 2017 Through 13 April 2017; Conference Code:190479).
Resumo | Links | BibTeX | Etiquetas: Brain death; Computed tomography scan; NAtural language processing; Text mining, Computerized tomography; Data mining; Diagnosis; Information systems; Medicine; Natural language processing systems; X rays, Ontology
@inproceedings{Silva2017305,
title = {An ontology for mapping cerebral death},
author = {A. Silva and F. Portela and M. F. Santos and A. Abelha and J. Machado},
editor = {Reis L. P. Rocha A. Costanzo S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018571075&doi=10.1007%2f978-3-319-56541-5_31&partnerID=40&md5=251b63573ddf0db18ec446964adb2165},
doi = {10.1007/978-3-319-56541-5_31},
issn = {21945357},
year = {2017},
date = {2017-01-01},
journal = {Advances in Intelligent Systems and Computing},
volume = {571},
pages = {305-311},
publisher = {Springer Verlag},
abstract = {Brain death is one of the most serious diagnoses that can be diagnosed in a patient. The possibility to detect it before its happening is one of the possible steps for the prevention of this event. The x-rays – Computed Tomography scans, are a very important test for the detection of this diagnosis. This paper proposes the use of an ontology on the registration of x-rays made to patients. This work was performed through the data provided by the Centro Hospitalar do Porto - Hospital de Santo António. The ontology was used based on an analysis made to the data and with the use of a dictionary developed in the same analysis. Finally, we added to the ontology the types of patients with brain death that were discov ered in a previous work that used the dictionary that is present in this ontology. © Springer International Publishing AG 2017.},
note = {cited By 1; Conference of 5th World Conference on Information Systems and Technologies, WorldCIST ; Conference Date: 11 April 2017 Through 13 April 2017; Conference Code:190479},
keywords = {Brain death; Computed tomography scan; NAtural language processing; Text mining, Computerized tomography; Data mining; Diagnosis; Information systems; Medicine; Natural language processing systems; X rays, Ontology},
pubstate = {published},
tppubtype = {inproceedings}
}
Brain death is one of the most serious diagnoses that can be diagnosed in a patient. The possibility to detect it before its happening is one of the possible steps for the prevention of this event. The x-rays – Computed Tomography scans, are a very important test for the detection of this diagnosis. This paper proposes the use of an ontology on the registration of x-rays made to patients. This work was performed through the data provided by the Centro Hospitalar do Porto - Hospital de Santo António. The ontology was used based on an analysis made to the data and with the use of a dictionary developed in the same analysis. Finally, we added to the ontology the types of patients with brain death that were discov ered in a previous work that used the dictionary that is present in this ontology. © Springer International Publishing AG 2017.
2015
Oliveira, A.; Portela, F.; Machado, J.; Abelha, A.; Neves, J. M.; Vaz, S.; Silva, A.; Santos, M. F.
Towards an ontology for health complaints management Proceedings Article
Em: A., Aveiro D. Dietz J. Fred (Ed.): pp. 174-181, SciTePress, 2015, ISBN: 9789897581588, (cited By 4; Conference of 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015 ; Conference Date: 12 November 2015 Through 14 November 2015; Conference Code:117182).
Resumo | Links | BibTeX | Etiquetas: Health care; Information systems; Knowledge engineering; Knowledge management, Healthcare institutions; Portugal; Technical efforts; Whole process, Ontology
@inproceedings{Oliveira2015174,
title = {Towards an ontology for health complaints management},
author = {A. Oliveira and F. Portela and J. Machado and A. Abelha and J. M. Neves and S. Vaz and A. Silva and M. F. Santos},
editor = {Aveiro D. Dietz J. Fred A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960946193&doi=10.5220%2f0005594901740181&partnerID=40&md5=413b8b201fc0fa3882fad7e7a695fa50},
doi = {10.5220/0005594901740181},
isbn = {9789897581588},
year = {2015},
date = {2015-01-01},
journal = {IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management},
volume = {3},
pages = {174-181},
publisher = {SciTePress},
abstract = {The dissatisfaction of healthcare institutions users has increased in Portugal in the recent years. This fact can be seen through the increase of complaints that the entity responsible in this country has been receiving lately. More and more technical efforts has been done to understand and analyse this tendency. In this paper the authors are proposing an ontology about the whole process of complaints management from healthcare institutions. All the work was developed after analysing the entire process and the data collected by the entity responsible with this matter in Portugal. The ontology developed can show the main concepts involved in the process and the relationship between them. As main ontology entities are person, document, measure and status. © 2015 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.},
note = {cited By 4; Conference of 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015 ; Conference Date: 12 November 2015 Through 14 November 2015; Conference Code:117182},
keywords = {Health care; Information systems; Knowledge engineering; Knowledge management, Healthcare institutions; Portugal; Technical efforts; Whole process, Ontology},
pubstate = {published},
tppubtype = {inproceedings}
}
The dissatisfaction of healthcare institutions users has increased in Portugal in the recent years. This fact can be seen through the increase of complaints that the entity responsible in this country has been receiving lately. More and more technical efforts has been done to understand and analyse this tendency. In this paper the authors are proposing an ontology about the whole process of complaints management from healthcare institutions. All the work was developed after analysing the entire process and the data collected by the entity responsible with this matter in Portugal. The ontology developed can show the main concepts involved in the process and the relationship between them. As main ontology entities are person, document, measure and status. © 2015 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.