Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Azzi, S.; Assi, A.; Gagnon, S.
Scoring Ontologies for Reuse: An Approach for Fitting Semantic Requirements Journal Article
In: Communications in Computer and Information Science, vol. 1789 CCIS, pp. 203–208, 2023, ISSN: 18650929, (ISBN: 9783031391408 Publisher: Springer Science and Business Media Deutschland GmbH).
Abstract | Links | BibTeX | Tags: Competency question, Fitting semantics, Formalisation, Ontological communities, Ontology, Ontology engineering, Ontology reuse, Ontology's, PNADO, Reuse, Semantic requirement, Semantic Web, Semantics
@article{azzi_scoring_2023,
title = {Scoring Ontologies for Reuse: An Approach for Fitting Semantic Requirements},
author = {S. Azzi and A. Assi and S. Gagnon},
editor = {Vlachidis A. Garoufallou E.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172082147&doi=10.1007%2f978-3-031-39141-5_17&partnerID=40&md5=f2d307e9185aca3ae5a69c31e8e4440a},
doi = {10.1007/978-3-031-39141-5_17},
issn = {18650929},
year = {2023},
date = {2023-01-01},
journal = {Communications in Computer and Information Science},
volume = {1789 CCIS},
pages = {203–208},
abstract = {The process of reusing ontologies is still challenging for the ontological community. One of the challenging efforts is to select the most relevant ontology from a set of candidates that needs a deep consideration. After the step of finding the candidates, many of them can be more appropriate than others as they fit better to the ontology requirements expressed by competency questions. First, we develop a mathematical formalisation based on Set Theory and we design the problem as an optimization problem to assist the knowledge engineer in selecting ontologies. Then, we provide formal steps to make well-founded comparison across a set of candidate ontologies. At last, we propose metrics to quantify the decision during the selection step. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
note = {ISBN: 9783031391408
Publisher: Springer Science and Business Media Deutschland GmbH},
keywords = {Competency question, Fitting semantics, Formalisation, Ontological communities, Ontology, Ontology engineering, Ontology reuse, Ontology's, PNADO, Reuse, Semantic requirement, Semantic Web, Semantics},
pubstate = {published},
tppubtype = {article}
}
The process of reusing ontologies is still challenging for the ontological community. One of the challenging efforts is to select the most relevant ontology from a set of candidates that needs a deep consideration. After the step of finding the candidates, many of them can be more appropriate than others as they fit better to the ontology requirements expressed by competency questions. First, we develop a mathematical formalisation based on Set Theory and we design the problem as an optimization problem to assist the knowledge engineer in selecting ontologies. Then, we provide formal steps to make well-founded comparison across a set of candidate ontologies. At last, we propose metrics to quantify the decision during the selection step. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
2.
Azzi, S.; Gagnon, S.
Ontology-Driven Parliamentary Analytics: Analysing Political Debates on COVID-19 Impact in Canada Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14149 LNCS, pp. 89–102, 2023, ISSN: 03029743, (ISBN: 9783031398407 Publisher: Springer Science and Business Media Deutschland GmbH).
Abstract | Links | BibTeX | Tags: COVID-19, End-users, Knowledge graph, Knowledge graphs, Ontology, Ontology graphs, Ontology's, Parliamentary debate, Political debates, Question Answering, Semantic content, Semantic ontology, Semantics, Solid basis
@article{azzi_ontology-driven_2023,
title = {Ontology-Driven Parliamentary Analytics: Analysing Political Debates on COVID-19 Impact in Canada},
author = {S. Azzi and S. Gagnon},
editor = {Asemi A. Francesconi E. Ko A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172088757&doi=10.1007%2f978-3-031-39841-4_7&partnerID=40&md5=5dff3b672c36c66070042a35eed048e0},
doi = {10.1007/978-3-031-39841-4_7},
issn = {03029743},
year = {2023},
date = {2023-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {14149 LNCS},
pages = {89–102},
abstract = {Parliamentary debates are usually published in Parliament’s websites to allows citizens to be informed on the latest national debates, proposals and decisions. To enhance citizen experience and engagement, functionalities such as debates annotation and question answering are necessary. Annotating text requires semantic content and ontologies are known for their ability to describe a common vocabulary for a domain and can be a solid base for annotation and question answering. We report on an ongoing study to enhance parliamentary analytics using an ontology and knowledge graph to sharpen annotations and facilitate their query by end-users. As a salient case, a sample of debates are collected on the COVID-19 impact in Canada, as its complexity shows the relevance of using advanced knowledge representation techniques. We focused on the development of a new “Impact of COVID-19 in Canada Ontology” (ICCO) that provides contextualized semantic information on impact in numerous policy areas, as this ontology is entirely built from Canadian parliamentary debates. It has been evaluated and validated by experts. Our conclusion underscores the importance of integrating ontology-driven parliamentary analytics within the broader context of digital transformation in legislative institutions, and the need for new platforms supporting free and open Digital Humanities. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
note = {ISBN: 9783031398407
Publisher: Springer Science and Business Media Deutschland GmbH},
keywords = {COVID-19, End-users, Knowledge graph, Knowledge graphs, Ontology, Ontology graphs, Ontology's, Parliamentary debate, Political debates, Question Answering, Semantic content, Semantic ontology, Semantics, Solid basis},
pubstate = {published},
tppubtype = {article}
}
Parliamentary debates are usually published in Parliament’s websites to allows citizens to be informed on the latest national debates, proposals and decisions. To enhance citizen experience and engagement, functionalities such as debates annotation and question answering are necessary. Annotating text requires semantic content and ontologies are known for their ability to describe a common vocabulary for a domain and can be a solid base for annotation and question answering. We report on an ongoing study to enhance parliamentary analytics using an ontology and knowledge graph to sharpen annotations and facilitate their query by end-users. As a salient case, a sample of debates are collected on the COVID-19 impact in Canada, as its complexity shows the relevance of using advanced knowledge representation techniques. We focused on the development of a new “Impact of COVID-19 in Canada Ontology” (ICCO) that provides contextualized semantic information on impact in numerous policy areas, as this ontology is entirely built from Canadian parliamentary debates. It has been evaluated and validated by experts. Our conclusion underscores the importance of integrating ontology-driven parliamentary analytics within the broader context of digital transformation in legislative institutions, and the need for new platforms supporting free and open Digital Humanities. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.