Document details

Methodology for collaborative enterprise reference ontology building

Author(s): Gaspar, Tiago Manuel dos Santos

Date: 2011

Persistent ID: http://hdl.handle.net/10362/5708

Origin: Repositório Institucional da UNL

Subject(s): Knowledge representation; Ontology; Collaborative ontology building; Interoperability


Description

In the actual competitive world, doing business globally has become critical to the survival of most enterprises. It is becoming each day more and more difficult for small enterprises to grow by operating alone in the market. Hence, most companies started feeling the need for joining collaborative environments becoming easier to manage their products and services, and where they can offer better products with low production costs. To achieve this, enterprises require the establishment of cooperation agreements among each other with the idea of expanding their business networks. Consequently there is a demand for intelligent solutions capable of reinforcing partnerships and collaborations between enterprises, organised groups or singular people. However, due to the worldwide diversity of communities, a high number of knowledge representation elements, such as ontologies, which are not semantically coincident, have appeared representing the same segment of reality. Even operating in the same domain, enterprises do not understand each other, making the communication among various systems parties more difficult and sometimes impracticable. This dissertation responds to the needs identified above, proposing a collaborative methodology for ontology building, enriched with qualitative information collection methods, to effectively improve the approach to elicit knowledge from business domain experts, towards interoperable intelligent systems. This methodology allows different individuals from enterprises or organisations working on the same field or area, to join a collaborative environment for building a common ontology specific to their ―Domain of Discourse‖. To accomplish this, several steps are taken including terms and definitions gathering, glossary and thesaurus building, and ontology mappings

Dissertation presented at Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa to obtain the Master degree in Electrical Engineering and Computer Science

Document Type Master thesis
Language English
Advisor(s) Gonçalves, Ricardo; Sarraipa, João
Contributor(s) Gaspar, Tiago Manuel dos Santos
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