{"title":"Ontology Enrichment with Text Extracted from Wikipedia","authors":"E. Tramontana, Gabriella Verga","doi":"10.1145/3520084.3520102","DOIUrl":null,"url":null,"abstract":"As biobanks require storing a large amount of data, the use of ontologies offer an effective solution to properly organise data and for data management. However, the specialised jargon embedded into an ontology, especially in the biomedical field, may constitute a difficulty for the people outside the proper domain. Our solution to this is to enhance ontology usability by automatically enriching an ontology. In this article we illustrate an enrichment process that allows us to expand in a controlled way the terms within an ontology. Our proposed enrichment process automatically adds in the ontological structure information extracted from external sources, in order to offer a more complete and clear knowledge of the domain and let users more easily query the ontology. Our enrichment process carefully selects from the wealth of information available in Wikipedia.","PeriodicalId":444957,"journal":{"name":"Proceedings of the 2022 5th International Conference on Software Engineering and Information Management","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th International Conference on Software Engineering and Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3520084.3520102","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
As biobanks require storing a large amount of data, the use of ontologies offer an effective solution to properly organise data and for data management. However, the specialised jargon embedded into an ontology, especially in the biomedical field, may constitute a difficulty for the people outside the proper domain. Our solution to this is to enhance ontology usability by automatically enriching an ontology. In this article we illustrate an enrichment process that allows us to expand in a controlled way the terms within an ontology. Our proposed enrichment process automatically adds in the ontological structure information extracted from external sources, in order to offer a more complete and clear knowledge of the domain and let users more easily query the ontology. Our enrichment process carefully selects from the wealth of information available in Wikipedia.