Terminology and Ontology

Objectives

a) Understanding the relationship between the organization of speech, the organization of knowledge, and information management for IT systems;
b) Defining methodologies for knowledge representation;
c) Acquiring knowledge modelling skills;
d) Applying that knowledge to the conceptual organization of a specific field.

General characterization

Code

722131058

Credits

10.0

Responsible teacher

Maria Rute Vilhena Costa

Hours

Weekly - 3

Total - 280

Teaching language

Portuguese

Prerequisites

N/A

Bibliography

  • Almeida, B. / Costa, R. (2021). "OntoAndalus: An Ontology of Islamic Artefacts for Terminological Purposes". SemanticWeb, vol. 12, no. 2, pp. 295-311.DOI: 10.3233/SW-200387
  • Brin-Henry, F. / Costa, R. / Desprès, S. (2019). “TemPO: towards a conceptualization for pathology in speech andlanguage therapy.” TALN-RECITAL 2019 conference.
  • Bebeshina-Clairet, N./ Ramadier, L. / Lafourcade, M. (2016). Using Constraints on a general Knowledge lexical networKfor domain-specific semantic relation extraction and modeling. DIALOGUE, Moscou.
  • Roche, C. / Costa, R. / Carvalho, S. / Almeida, B. (2019). “Knowledge-based terminological e-dictionaries: TheEndoTerm and al-Andalus Pottery projects”. Terminology and e-dictionaries, Special Issue of Terminology 25:2 (2019).Amsterdam / Philadelphia: John Benjamins, pp. 259-291.
  • Roche, C. (2007) Saying is not modelling. 4th International Workshop on Natural Language Processing and CognitiveScience, Funchal. pp.47-56.

Teaching method

Lecture sessions.
Presenting and discussing individual projects.
Interactive classes targeted at the implementation of individual or group projects.
Tutorial sessions will provide students with regular and personalized guidance in the several topics.

Evaluation method

Continuous assessment - Participation in the seminar sessions, practical exercises and 1 paper, prepared under close supervision, and oral presentation(100%)

Subject matter

1. Ontology/Ontologies: definition
1.1 Knowledge Organization
1.2. Classification systems
2. Theoretical assumptions
3. Concept, term, concetual relations
3. Methodologies for ontologies buiding
3.1. The role of LSP texts
3.2. The role of experts
4. Knowledge theories: from Port Royal's logic to AI's works
5. The bulding of ontologies
5.1. Practical exercices