Name: CARLOS EDUARDO CORREA BRAGA
Publication date: 13/11/2024
Examining board:
Name |
Role |
|---|---|
| MONALESSA PERINI BARCELLOS | Presidente |
| SHEILA DOS SANTOS REINEHR | Examinador Externo |
| VITOR ESTEVAO SILVA SOUZA | Examinador Interno |
Summary: Software development is a knowledge-intensive activity, and its success in an organization
relies deeply on knowledge sharing. Knowledge management challenges are often increased
in agile environments, which involve a lot of tacit knowledge, commonly acquired through
experiences and hard to be made explicit. Therefore, knowledge sharing among practitioners
is crucial. However, identifying suitable experts to share specific knowledge is not trivial. It
involves not only discovering the individuals with the desired knowledge but also considering
other factors that may improve the expert responsiveness, such as social connections and
availability. The data overload problem and the specific nature of the experts’ knowledge
can hinder people from finding experts with the knowledge they require. Expert finding
systems have been proposed to address this issue. They are information retrieval systems
that identify candidate experts and rank them based on their expertise in a given subject.
Developing expert finding systems is challenging due to the involvement of complex concepts
such as expertise, skill, knowledge, and other related concepts. Additionally, integrating
diverse sources of expertise poses a difficulty. Ontologies can be helpful in this matter.
Aiming to provide an systematic approach based in a well-founded conceptualization, this
works proposes STIR. Moreover, a computational tool was developed using the proposed
approach illustrating how it can be used to support the development of expert finding
systems. The tool supports expert identification for knowledge sharing purposes within a
company
