基于Agent的Web元数据抽取、建模和信息检索方法
An Agent based Approach towards Metadata Extraction, Modelling and Information Retrieval over the Web
摘要：
Web开发因其创造性和复杂性而成为一个具有挑战性的研究领域。Web技术发展中提出的关键挑战是以机器可读和可处理的格式表示数据，以利用基于知识的信息抽取和维护。目前，不可能使用全文查询来搜索和提取优化的结果，因为不存在这样的机制，其可以从全文查询中完全提取语义，然后查找基于特定知识的信息。
英文摘要：
Web development is a challenging research area for its creativity and complexity. The existing raised key challenge in web technology technologic development is the presentation of data in machine read and process able format to take advantage in knowledge based information extraction and maintenance. Currently it is not possible to search and extract optimized results using full text queries because there is no such mechanism exists which can fully extract the semantic from full text queries and then look for particular knowledge based information.
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。
