Distributed Search Engine System Productivity Modeling and Evaluation

Zhang, Weizhe; Zhang, Hongli; Xu, Xiao; He, Hairong

doi:10.3724/sp.j.1001.2012.04140

Cited by 4 publications

(3 citation statements)

References 1 publication

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“…Search engine technology bases on keywords and semantics has been greatly improved with the deep research on the application of search engine technology [14], [15], and the search results with a high accuracy and high speed is relatively complete and informative. Based on the general design principles for the URL design(the general rule of site visit routing protocol)and HTML design standardization, different search engine news search results can be counted, summarized and analyzed to design a retrieval matching and structured extraction model of web information of search engine.…”

Section: Web Information Extraction Model Buildingmentioning

confidence: 99%

The Automatic Extraction of Web Information Based on Regular Expression

Ji¹,

Jiang²,

Xu³

et al. 2017

JSW

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Based on search engine , this paper built a Web information retrieval matching and structure extraction model. And realized the algorithm of locating and automatically extracting multi-web Baidu news information. Getting the standard mathematical expression of URLs by analyzing the search results URLs and analyzing the DOM tree structure of web pages, this article designed the key tags regular expression. Finally, the method of multi-page location retrieval and structured extraction based on search engine is realized. The experimental results showed that the average extraction result is 99.60%, and the matching ratio is 99.56%. It can be used for Web information structure and automatic extraction and local preservation.

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Section: Web Information Extraction Model Buildingmentioning

confidence: 99%

The Automatic Extraction of Web Information Based on Regular Expression

Ji¹,

Jiang²,

Xu³

et al. 2017

JSW

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show abstract

“…So it causes the loss of retrieval of information, and its search results is still far from satisfactory. Then the deficiency of traditional search engines that based on keywords or text content based retrieval are discussed as follows [3][4][5]. 1.…”

Section: Disadvantages Based On Abstractearchmentioning

confidence: 99%

Present Situation of Web Information Search and Its Improvement Strategy

Lin

2016

Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology

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With the advent of the era of big data, people face Web information overload problem. In order to efficiently and accurately obtain information on the network, Web information search technology has been developed rapidly. First in this paper, the working principle of the keyword search engines that are the traditional Web information search technology is reviewed, and then from the recall ratio and precision, reasoning search, information in a timely manner and the user experience etc, we analyze its existence disadvantages and Improvement strategy. Finally we present the train of thought and key technologies of a new Web information search that is based on networked automatic reasoning. This paper provides a train of thought for building automatic reasoning system which is adapted to the network of open, distributional and dynamic, and also puts forward a new direction for the development of Web information search technology and the architecture of next generation of search engine.

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“…Secondly, existing models that associate multimedia data with the keywords are for information management and retrieval, somehow multimedia data are often stored as object attributes with low granularity, which is prone to cause data redundancy and can hardly support content-level information retrieval. Besides, the distributed structure which is considered as one of the optimal solutions for developing search engines [2][3], and with advantages in information retrieval from massive data, is also facing a big challenge in the efficient organization and management of multimedia data.…”

Section: Introductionmentioning

confidence: 99%

A Model of Media Information Management for Content Retrieval

Liu¹

2014

IJMUE

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The rapid development of digital library makes the multimedia information resources organization and management become a key issue to develop the digital library, and the multimedia information retrieval technology has become the core technology of the digital book data management, the existing multimedia retrieval model cannot effectively implement multimedia digital books data management. Therefore, this paper proposes a content-based multimedia retrieval data model and combined with the different modal data abstraction and decomposition classification thought, discusses the significance of this data model, also briefly introduces the building method of this model. Finally by combining this design it implements a multimedia digital books data retrieval system.

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Distributed Search Engine System Productivity Modeling and Evaluation

Cited by 4 publications

References 1 publication

The Automatic Extraction of Web Information Based on Regular Expression

The Automatic Extraction of Web Information Based on Regular Expression

Present Situation of Web Information Search and Its Improvement Strategy

A Model of Media Information Management for Content Retrieval

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