发布/订阅本体系统的全文支持
Full-text Support for Publish/Subscribe Ontology Systems
摘要：
我们设想一个发布/订阅本体系统，能够索引数以百万计的用户订阅，并过滤它们对本体数据流的方式到达。在这项工作中，我们提出了一个适合发布/订阅设置的SPARQL扩展;我们的扩展建立在语言的自然语义图匹配的基础上，并支持创建全文订阅。随后，我们提出了一个内存订阅索引算法，执行语义和全文匹配在低复杂度和最小的过滤时间。因此，当本体数据被发布时，匹配的订阅被标识并且通知被转发给用户。
英文摘要：
We envision a publish/subscribe ontology system that is able to index millions of user subscriptions and filter them against ontology data that arrive in a streaming fashion. In this work, we propose a SPARQL extension appropriate for a publish/subscribe setting; our extension builds on the natural semantic graph matching of the language and supports the creation of full-text subscriptions. Subsequently, we propose a main-memory subscription indexing algorithm which performs both semantic and full-text matching at low complexity and minimal filtering time. Thus, when ontology data are published matching subscriptions are identified and notifications are forwarded to users.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
