Open AccessExperion: A framework for contextualizing evidence in expert finding
Author(s) -
Rodrigo Gonçalves,
Carina F. Dorneles
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/sbbd_estendido.2021.18172
Subject(s) - computer science , context (archaeology) , process (computing) , subject (documents) , task (project management) , subject matter expert , information retrieval , data science , expert system , world wide web , artificial intelligence , engineering , paleontology , systems engineering , biology , operating system
Expert finding is traditionally related to a subject of research in information retrieval and, often, is taken to mean "expertise retrieval within a specific organization". The task involves finding an expert in an expertise topic. Even though there are interesting proposals in the literature, they do not consider the context in which a given expertise is bound. This Ph.D. thesis introduces the concept of a framework that chronologically contextualizes search results in expert finding. Our motivation is to provide more accurate results of search processes related to finding experts in a given topic, contextualizing the expertise on professional/academic activities, an open research topic. In this paper, we present the main concepts of the framework we are developing and a general overview of its operation. At the moment, we are using the Lattes platform as a data source, for which we developed a process to extract expertise evidence, supported by the Crossref database.