A Progressive Formalization of Tacit Knowledge to Improve Semantic Expressiveness of Biodiversity Data

Autor:	Andréa Corrêa Flôres Albuquerque, José Laurindo Campos dos Santos
Rok vydání:	2020
Předmět:	Knowledge management Tacit knowledge Computer science business.industry Schema (psychology) Granularity InformationSystems_MISCELLANEOUS Ontology (information science) business
Zdroj:	Information Management and Big Data ISBN: 9783030461393 SIMBig
DOI:	10.1007/978-3-030-46140-9_15
Popis:	The majority of biodiversity data available on the Web are structured, lacking unstructured features such as tacit knowledge, images, audios, text documents, among others. Tacit knowledge can be used to add more expressiveness to ontologies. To achieve that, the knowledge needs to be elicited and formalized and further incorporated into an ontology. This paper aims to present a Progressive Formalization Schema (PFS) to formalize tacit knowledge into different levels of granularity.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::005d47abc7e0e28bdcb2490f719944f5 https://doi.org/10.1007/978-3-030-46140-9_15 Zobrazit plný text záznamu