Diego Calvanese, E. Kharlamov, W. Nutt, Camilo Thorne
{"title":"聚合本体上的查询","authors":"Diego Calvanese, E. Kharlamov, W. Nutt, Camilo Thorne","doi":"10.1145/1458484.1458500","DOIUrl":null,"url":null,"abstract":"Answering queries over ontologies is an important issue for the Semantic Web. Aggregate queries were widely studied for relational databases but almost no results are known for aggregate queries over ontologies. In this work we investigate the latter problem. We propose syntax and semantics for epistemic aggregate queries over ontologies and study query answering for MAX, MIN, COUNT, CNTD, SUM, AVG queries for the ontology language DL-LiteA.","PeriodicalId":363359,"journal":{"name":"Ontologies and Information Systems for the Semantic Web","volume":"167 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"49","resultStr":"{\"title\":\"Aggregate queries over ontologies\",\"authors\":\"Diego Calvanese, E. Kharlamov, W. Nutt, Camilo Thorne\",\"doi\":\"10.1145/1458484.1458500\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Answering queries over ontologies is an important issue for the Semantic Web. Aggregate queries were widely studied for relational databases but almost no results are known for aggregate queries over ontologies. In this work we investigate the latter problem. We propose syntax and semantics for epistemic aggregate queries over ontologies and study query answering for MAX, MIN, COUNT, CNTD, SUM, AVG queries for the ontology language DL-LiteA.\",\"PeriodicalId\":363359,\"journal\":{\"name\":\"Ontologies and Information Systems for the Semantic Web\",\"volume\":\"167 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"49\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ontologies and Information Systems for the Semantic Web\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1458484.1458500\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ontologies and Information Systems for the Semantic Web","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1458484.1458500","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Answering queries over ontologies is an important issue for the Semantic Web. Aggregate queries were widely studied for relational databases but almost no results are known for aggregate queries over ontologies. In this work we investigate the latter problem. We propose syntax and semantics for epistemic aggregate queries over ontologies and study query answering for MAX, MIN, COUNT, CNTD, SUM, AVG queries for the ontology language DL-LiteA.
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