基于竞争情报的网页搜索新策略

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI:10.1109/ICOSC.2015.7050789

I. Rasekh

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引用次数: 4

摘要

语义网被称为下一代网络，它被称为由万维网联盟(W3C)领导的Web3.0的新协作运动。它旨在将当前的非结构化文档网络转换为“数据网络”。本文提出的搜索策略是一种图结构搜索(GSS)。搜索引擎优化(Search Engine Optimization, SEO)被定义为使网站从搜索引擎获得更多流量的技术和实践的集合，它仍然是语义网搜索引擎面临的最大挑战之一。本文提出了一种基于竞争情报的新型网页搜索方法。它使用基于链接的排名进化方案来适应用户的偏好。我实现了原型系统，并论证了所提出的网页搜索方案的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A new competitive intelligence-based strategy for web page search

Semantic Web is known as next generation of web it is known as a new collaborative movement toward Web3.0 that led by the World Wide Web Consortium (W3C). It aims at converting the current web of unstructured documents into a “web of data”. The proposed searching strategy for SEO in Semantic Web is a graph structured search (GSS). Search Engine Optimization (SEO) is defined as a collection of techniques and practices that allow a site to get more traffic from search engines and it is still one of the biggest challenge in search engines of Semantic Webs In this paper, I proposed a new type of web page search which is based on the competitive intelligence. It use link-based ranking evolutionary scheme to accommodate users' preferences. I implemented the prototype system and demonstrate the feasibility of the proposed web page search scheme.

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来源期刊

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)

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