S. Baumann, A. Dengel, Markus Junker, T. Kieninger
{"title":"结合本体和文档检索技术:一个电子学习场景的案例研究","authors":"S. Baumann, A. Dengel, Markus Junker, T. Kieninger","doi":"10.1109/DEXA.2002.1045888","DOIUrl":null,"url":null,"abstract":"Ontologies are a perfect knowledge base for enriching standard document retrieval and classification techniques. In this paper we describe such an approach for the application of e-learning. We choose a basic combination of ontologies, some simple heuristics and classic term, resp. document similarity measure to deliver the required functionality. Our system has a distributed architecture handling the linkage to a database-driven document management system with browser-suited output. First results are presented showing the advantages of automatic generation of queries based on ontologies.","PeriodicalId":254550,"journal":{"name":"Proceedings. 13th International Workshop on Database and Expert Systems Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Combining ontologies and document retrieval techniques: a case study for an e-learning scenario\",\"authors\":\"S. Baumann, A. Dengel, Markus Junker, T. Kieninger\",\"doi\":\"10.1109/DEXA.2002.1045888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ontologies are a perfect knowledge base for enriching standard document retrieval and classification techniques. In this paper we describe such an approach for the application of e-learning. We choose a basic combination of ontologies, some simple heuristics and classic term, resp. document similarity measure to deliver the required functionality. Our system has a distributed architecture handling the linkage to a database-driven document management system with browser-suited output. First results are presented showing the advantages of automatic generation of queries based on ontologies.\",\"PeriodicalId\":254550,\"journal\":{\"name\":\"Proceedings. 13th International Workshop on Database and Expert Systems Applications\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 13th International Workshop on Database and Expert Systems Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEXA.2002.1045888\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 13th International Workshop on Database and Expert Systems Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEXA.2002.1045888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Combining ontologies and document retrieval techniques: a case study for an e-learning scenario
Ontologies are a perfect knowledge base for enriching standard document retrieval and classification techniques. In this paper we describe such an approach for the application of e-learning. We choose a basic combination of ontologies, some simple heuristics and classic term, resp. document similarity measure to deliver the required functionality. Our system has a distributed architecture handling the linkage to a database-driven document management system with browser-suited output. First results are presented showing the advantages of automatic generation of queries based on ontologies.