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Semantic search technology for information retrieval on the web

机译：语义搜索技术，用于在网络上检索信息

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摘要

The fundamental issue of imprecise search results arises owing to the misrepresentation of data on the web. Although a large number of theoretical models have been reported in literature, their implementation in the real world is still at an initial stage. This research is a systematic investigation on the underlying basis of ontologies, intelligent agents and semantic mechanisms. A solution is to put into action, the envisioned, 'Semantic web', by annotating/manipulating web pages using XML-based technologies, creating ontology for providing an RDF vocabulary in a hierarchical class structure and developing an intelligent agent, which would be capable of database access, comparison and inference. The system designed here is to enable a machine to 'understand' the information it holds, which in turn would greatly facilitate smart searching. This paper presents that the system has been successfully implemented and achieves accurate search results.
机译：搜索结果不精确的根本问题是由于Web上数据的虚假陈述。尽管文献中已经报道了大量的理论模型，但它们在现实世界中的实施仍处于起步阶段。这项研究是对本体，智能代理和语义机制的基础的系统研究。一种解决方案是通过使用基于XML的技术注释/操作网页，创建用于以分层类结构提供RDF词汇表的本体并开发智能代理的方法，将设想的“语义网”付诸实践。数据库访问，比较和推理。此处设计的系统使机器能够“了解”其持有的信息，从而极大地促进了智能搜索。本文提出该系统已成功实现，并获得了准确的搜索结果。

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