Andréa Corrêa Flôres Albuquerque, José Laurindo Campos dos Santos, Alberto Nogueira de Castro Júnior
{"title":"Elicitation Process and Knowledge Structuring: A Conceptual Framework for Biodiversity","authors":"Andréa Corrêa Flôres Albuquerque, José Laurindo Campos dos Santos, Alberto Nogueira de Castro Júnior","doi":"10.1109/MICAI.2015.17","DOIUrl":null,"url":null,"abstract":"OntoBio is a formal ontology based on biodiversity concepts and applied for data integration and automatic system interoperability. Despite having reached a consistent stage of maturity, part of the experts' knowledge is still not represented in the ontology, and is thus lost. The knowledge (implicit-explicit) when modelled and made available on the Web, becomes essential in the process of generating of new knowledge. In this scope, questions are still open and research interests involve the representation of tacit knowledge, modelling and formalization. This work proposes a tacit knowledge formalization method to incorporate semantics and expressiveness in formal ontologies to support the generation of scientific knowledge.","PeriodicalId":448255,"journal":{"name":"2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICAI.2015.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
OntoBio is a formal ontology based on biodiversity concepts and applied for data integration and automatic system interoperability. Despite having reached a consistent stage of maturity, part of the experts' knowledge is still not represented in the ontology, and is thus lost. The knowledge (implicit-explicit) when modelled and made available on the Web, becomes essential in the process of generating of new knowledge. In this scope, questions are still open and research interests involve the representation of tacit knowledge, modelling and formalization. This work proposes a tacit knowledge formalization method to incorporate semantics and expressiveness in formal ontologies to support the generation of scientific knowledge.