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首页> 外文期刊>Data & Knowledge Engineering >The metaknowledge-based intelligent routing system (MIRS)
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The metaknowledge-based intelligent routing system (MIRS)

机译：基于元知识的智能路由系统（MIRS）

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This paper addresses the issue of locating relevant information in a network of heterogeneous, unfederated infor- mation bases of various types, including structured databases, text, audio, picture and video files. The problem is to determine where the required information resides in a network, in locations unknown to the user. The objective is to construct a user-friendly, intelligent, search and routing mechanism in order to find the most relevant information bases in the network. We introduce a mechanism for presenting queries, routing queries, updating knowledge, and learning in a metaknowledge base (MKB). This has been named the metaknowledge-based intelligent routing system (MIRS). MIRS finds the location of the desired information by its ability to “understand” the user's query and to access in- formation by content, rather than by address. MIRS behaves like a distributed search engine, working with a dis- tributed metaknowledge index-file. There is no need for periodic web-crawling, web-robots, or agents of any sort. The network itself encapsulates the knowledge and routing algorithms that provide the user access-by-content to the rel- evant information. Contrary to web servers, the specific MIRS servers are not linked by hypertext links, but rather by knowledge links, randomly acquired or expertly built. The system also differs from the usual search engines in that it is capable of handling different types of media (e.g., text, database, multimedia) and applies natural language parsing techniques to understand the intention of the user, as well as potentially use a user-profile to enhance the original query before distributing it over the network. The “metadata” describing the information bases are spread across a network of routing and information servers and are modified as a result of search operations and introduction of new infor- mation bases into the system.
机译：本文解决了在各种类型的异构，非联合信息库网络中定位相关信息的问题，包括结构化数据库，文本，音频，图片和视频文件。问题是确定所需信息在网络中用户未知位置的位置。目的是构建一种用户友好的，智能的搜索和路由机制，以查找网络中最相关的信息库。我们介绍了一种在元知识基础（MKB）中提供查询，路由查询，更新知识和学习的机制。这已被命名为基于元知识的智能路由系统（MIRS）。 MIRS通过“理解”用户的查询并按内容（而不是地址）访问信息的能力来查找所需信息的位置。 MIRS的行为就像分布式搜索引擎一样，它使用分布式元知识索引文件。无需定期进行网络爬网，网络机器人或任何形式的代理。网络本身封装了知识和路由算法，可为用户提供按内容访问相关信息的功能。与Web服务器相反，特定的MIRS服务器不是通过超文本链接链接，而是通过随机获取或专家构建的知识链接链接。该系统也不同于通常的搜索引擎，因为它能够处理不同类型的媒体（例如，文本，数据库，多媒体），并应用自然语言解析技术来理解用户的意图，并潜在地使用用户-profile可以增强原始查询，然后再通过网络分发它。描述信息库的“元数据”分布在路由和信息服务器的网络中，并且由于搜索操作和将新信息库引入系统而被修改。

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