Toward linked data: The Library of Congress Medium of Performance Thesaurus

The Library of Congress Medium of Performance Thesaurus is a controlled vocabulary that will be used to describe music resources and is developed by the Music Library Association in conjunction with the Library of Congress. The objective of this study is to report on the current status of the LCMPT and to outline future steps which will allow the thesaurus to operate in a linked data environment. Four research questions examined the Simple Knowledge Organization System and its use with the LCMPT: the ways in which controlled vocabularies can be transformed into the Simple Knowledge Organization System format, the technologies and methods currently in use for this process, the effectiveness of these technologies and methods, and how the LCMPT can be most effectively converted into the Simple Knowledge Organization System format. Using existing documents, this qualitative study examined official World Wide Web Consortium documentation, the Open Metadata Registry, and was informed by work on the LCMPT performed at the Library of Congress. Tasks completed during an internship at the Library of Congress included discussion and planning for further LCMPT development and progress, development of the LCMPT Authority Data Elements, consideration of existing technologies and how they might be used in the development and deployment of LCMPT, conversion of existing LCMPT documentation into a more accessible format, research and documentation of the hierarchy of LCMPT, deployment of the LCMPT to a vocabulary space and element set space in the Open Metadata Registry, and consideration for future development of the LCMPT. The results of this study help to determine whether applying Semantic Web tools such as the Simple Knowledge Organization System to the LCMPT will allow music catalogers and other users of controlled vocabularies to begin harnessing the many potential benefits of the Semantic Web.Master of Science in Information Scienc

An automatic method for reporting the quality of thesauri

Thesauri are knowledge models commonly used for information classification and retrieval whose structure is defined by standards such as the ISO 25964. However, when creators do not correctly follow the specifications, they construct models with inadequate concepts or relations that provide a limited usability. This paper describes a process that automatically analyzes the thesaurus properties and relations with respect to ISO 25964 specification, and suggests the correction of potential problems. It performs a lexical and syntactic analysis of the concept labels, and a structural and semantic analyses of the relations. The process has been tested with Urbamet and Gemet thesauri and the results have been analyzed to determine how well the proposed process works

Propuesta de un modelo estructurado de análisis de vocabularios SKOS

This work aims to define a structured model for evaluating SKOS vocabularies. The main Semantic Web technologies involved in this task, essentially RDF and SPARQL, are analyzed, along with the different elements, definitions and integrity conditions of SKOS recommendation. Several proposals of quantitative indicators and quality criteria for the evaluation of SKOS vocabularies are also studied. Furthermore, we pointed out SPARQL queries, steps and algorithms required to perform an appropriate analysis. The result is an evaluation model that incorporates metrics, normative requirements and quality criteria. This model organizes the analysis elements into a twofold classification: functional aspects and requirement levels. The proposed model is easy to apply for the development of analysis and validation services of SKOS vocabularies. New indicators and additional quality criteria can be added