{"title":"用于注释蛋白质-蛋白质相互作用数据的本体授权模型:出芽酵母的案例研究","authors":"Arash Shaban-Nejad, V. Haarslev","doi":"10.1109/IRI.2008.4583057","DOIUrl":null,"url":null,"abstract":"This paper reports on our experience in modeling and employing ontology-inferred knowledge to support and improve data mining tasks of yeast protein interactions for knowledge discovery. This objective has been accomplished by providing simplified access to units of intersecting proteome data and information from different biological databases and bio-ontologies, and utilizing a logical framework to answer questions from biologists.","PeriodicalId":169554,"journal":{"name":"2008 IEEE International Conference on Information Reuse and Integration","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An ontology-empowered model for annotating protein-protein interaction data: a case study for budding yeast\",\"authors\":\"Arash Shaban-Nejad, V. Haarslev\",\"doi\":\"10.1109/IRI.2008.4583057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reports on our experience in modeling and employing ontology-inferred knowledge to support and improve data mining tasks of yeast protein interactions for knowledge discovery. This objective has been accomplished by providing simplified access to units of intersecting proteome data and information from different biological databases and bio-ontologies, and utilizing a logical framework to answer questions from biologists.\",\"PeriodicalId\":169554,\"journal\":{\"name\":\"2008 IEEE International Conference on Information Reuse and Integration\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Conference on Information Reuse and Integration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRI.2008.4583057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Information Reuse and Integration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRI.2008.4583057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An ontology-empowered model for annotating protein-protein interaction data: a case study for budding yeast
This paper reports on our experience in modeling and employing ontology-inferred knowledge to support and improve data mining tasks of yeast protein interactions for knowledge discovery. This objective has been accomplished by providing simplified access to units of intersecting proteome data and information from different biological databases and bio-ontologies, and utilizing a logical framework to answer questions from biologists.
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