Metodologia para a identificação e seleção de termos de assunto a partir do FRSAD: fundo Câmara Municipal de São João del-Rei (1715-1930)

Abstract

This research addresses the indexing of archival documents whose theme is based on the theoretical framework in the representation of the archival document; in the notion of subject and indexing of archival documents. Description of the historical context of the São João DelRei City Council Fund (FCMSJDR). Discusses the importance of indexing for the retrieval of information in files. It analyzes the contributions of the NEDA-MC conceptual data models and the Functional Requirements for Subject Authority Data (FRSAD) for indexing files. In the universe of application of this research, which deals with the identification and selection of subject terms for the FCMSJDR, there is the problem of the Brazilian Standard for Archival Description (Nobrade) not presenting a methodology for indexing archival documents, although the standard recognizes the Importation of indexing by including, in an innovative way, an Area 8 (Access Points and Subject Indexing). The objective is to proportionate a methodology to identify and select subject terms for archival documents, based on the thema and nomen entities of FRSAD. The methodology, as far as predisposed, refers to applied research, in which two of the documentary sets of the FCMSJDR were selected for modeling the selected concepts, with the premise that the entities thema and nomen of FRSAD enable the identification of subject terms for archival documents. As a result, it was found that: the FRSAD model, with pragmatism and its structure, associated with the NEDA-MC model and Nobrade, enabled the identification of a set of subject terms; indexing is linked to the principles of provenance and organicity; indexing depends on the arrangement and description of the document sets; there is an obligation to carry out more research on document analysis or document reading, in order to subsidize the indexing process. It is concluded that the FRSAD model, with its flexible structure, enabled the identification of a set of subject terms to represent the content of the documents selected for the experiment.