An Ontology-based Approach to Support Text Mining and Information Retrieval in the Biological Domain

Простая страница элемента
dc.creatorKhelif,Khaled
dc.creatorDieng-Kuntz,Rose
dc.creatorBarbry,Pascal
dc.date2007
dc.date.accessioned2024-02-06T12:55:59Z
dc.date.available2024-02-06T12:55:59Z
dc.descriptionThis paper describes an ontology-based approach aiming at helping biologists to annotate their documents and at facilitating their information retrieval task. Our approach, based on semantic web technologies, relies on formalised ontologies, semantic annotations of scientific articles and knowledge extraction from texts. We propose a method/system for the generation of ontology-based semantic annotations (MeatAnnot) and a system allowing biologists to draw advanced inferences on these annotations (MeatSearch). This approach was proposed to support biologists working on DNA microarray experiments in the validation and the interpretation of their results, but it can probably be extended to other massive analyses of biological events (as provided by proteomics, metabolomics...).
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-013-12-1881
dc.identifierhttps://lib.jucs.org/article/28910/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9547
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 13(12): 1881-1907
dc.subjectsemantic web
dc.subjectontologies
dc.subjectsemantic annotation
dc.subjectlife science
dc.subjectNLP
dc.subjectCorese
dc.titleAn Ontology-based Approach to Support Text Mining and Information Retrieval in the Biological Domain
dc.typeResearch Article
Файлы
Коллекции
Публикации в журналах НИЯУ МИФИ