Method to Reduce Complexity and Response Time in a Web Search

2015 ◽

Vol 8 (2) ◽

pp. 32-46

Author(s):

María R. Romagnano ◽

Silvana V. Aciar ◽

Martín G. Marchetta

Keyword(s):

World Wide ◽

Web Search ◽

Information Sources ◽

Irrelevant Information ◽

Daily Activities ◽

Technological Changes ◽

Web Information ◽

The World ◽

Similar Information ◽

Tourist Information

Living in times of technological changes that alter our daily activities, involving tasks such as reading the newspaper, following the weather, scheduling a trip, are usually executed after perusal of the gigantic repository of information, commonly known as the World Wide Web. However some problems are still associated with the information found in such a vast amount of information: heterogeneity, availability, distribution, quality and quantity of irrelevant information. Recent work has suggested different ways of grouping similar information sources, trying to give solutions to these problems. However, some domains are more complex than others. For example, a person looking for tourist information, is generally overwhelmed by visiting various websites. This paper proposes the implementation of a method to retrieve and group web information sources, depending on the services they offer; thereby allowing the user to get accurate answers; thus reducing the time and complexity in the search.

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A Signal-Representation-Based Parser to Extract Text-Based Information from the Web

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2010.p0531 ◽

2010 ◽

Vol 14 (5) ◽

pp. 531-539

Author(s):

Mu-Chun Su ◽

◽

Shao-Jui Wang ◽

Chen-Ko Huang ◽

Pa-ChunWang ◽

...

Keyword(s):

Web Services ◽

World Wide ◽

Information Sources ◽

State Of The Art ◽

Value Added ◽

Web Pages ◽

Web Page ◽

Web Information ◽

The World ◽

The Web

Most of the dramatically increased amount of information available on the World Wide Web is provided via HTML and formatted for human browsing rather than for software programs. This situation calls for a tool that automatically extracts information from semistructured Web information sources, increasing the usefulness of value-added Web services. We present a signal-representation-based parser (SIRAP) that breaks Web pages up into logically coherent groups - groups of information related to an entity, for example. Templates for records with different tag structures are generated incrementally by a Histogram-Based Correlation Coefficient (HBCC) algorithm, then records on a Web page are detected efficiently using templates generated by matching. Hundreds of Web pages from 17 state-of-the-art search engines were used to demonstrate the feasibility of our approach.

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The Development of Horticulture Software on Landscape Plants

HortScience ◽

10.21273/hortsci.33.3.552a ◽

1998 ◽

Vol 33 (3) ◽

pp. 552a-552

Author(s):

Gary J. Kling

Keyword(s):

College Students ◽

Product Development ◽

World Wide ◽

Technological Changes ◽

Cd Rom ◽

Landscape Plants ◽

The World ◽

Digital Formats ◽

Current Stage ◽

Made In

This presentation will cover some of the major decisions that were made in the development and modification of software to provide horticultural resources for college students and members of the industry. Technological changes have moved the production from video-disc technology to server-based digital formats, CD-ROM, and the World Wide Web. Each of these changes results in a different product suited to different audiences. The current stage of product development will be presented.

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Patterns of Searching for Information on the World Wide Web: A Pilot Study

Psychological Reports ◽

10.2466/pr0.2003.92.3c.1091 ◽

2003 ◽

Vol 92 (3_suppl) ◽

pp. 1091-1096 ◽

Cited By ~ 2

Author(s):

Nobuhiko Fujihara ◽

Asako Miura

Keyword(s):

World Wide Web ◽

Undergraduate Students ◽

Search Engines ◽

World Wide ◽

Information Sources ◽

Task Type ◽

The Other ◽

The World ◽

Selection Of ◽

Search Domain

The influences of task type on search of the World Wide Web using search engines without limitation of search domain were investigated. 9 graduate and undergraduate students studying psychology (1 woman and 8 men, M age = 25.0 yr., SD = 2.1) participated. Their performance to manipulate the search engines on a closed task with only one answer were compared with their performance on an open task with several possible answers. Analysis showed that the number of actions was larger for the closed task ( M = 91) than for the open task ( M = 46.1). Behaviors such as selection of keywords (averages were 7.9% of all actions for the closed task and 16.7% for the open task) and pressing of the browser's back button (averages were 40.3% of all actions for the closed task and 29.6% for the open task) were also different. On the other hand, behaviors such as selection of hyperlinks, pressing of the home button, and number of browsed pages were similar for both tasks. Search behaviors were influenced by task type when the students searched for information without limitation placed on the information sources.

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The World-Wide Web information system: chemical chaos or global scientific enabler?

Laboratory Automation & Information Management ◽

10.1016/1381-141x(95)80015-u ◽

1995 ◽

Vol 31 (1) ◽

pp. 47-52

Author(s):

Henry S. Rzepa

Keyword(s):

Information System ◽

World Wide Web ◽

World Wide ◽

Web Information System ◽

Web Information ◽

The World

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A Roadmap to Integrate Document Clustering in Information Retrieval

Information Retrieval Methods for Multidisciplinary Applications ◽

10.4018/978-1-4666-3898-3.ch003 ◽

2013 ◽

pp. 31-45

Author(s):

R. Subhashini ◽

V.Jawahar Senthil Kumar

Keyword(s):

Information Retrieval ◽

Search Engines ◽

World Wide ◽

Clustering Algorithm ◽

Web Search ◽

Full Potential ◽

Digital Information ◽

Search Results ◽

The World ◽

The Web

The World Wide Web is a large distributed digital information space. The ability to search and retrieve information from the Web efficiently and effectively is an enabling technology for realizing its full potential. Information Retrieval (IR) plays an important role in search engines. Today’s most advanced engines use the keyword-based (“bag of words”) paradigm, which has inherent disadvantages. Organizing web search results into clusters facilitates the user’s quick browsing of search results. Traditional clustering techniques are inadequate because they do not generate clusters with highly readable names. This paper proposes an approach for web search results in clustering based on a phrase based clustering algorithm. It is an alternative to a single ordered result of search engines. This approach presents a list of clusters to the user. Experimental results verify the method’s feasibility and effectiveness.

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Trust in Virtual Communities

Virtual Communities ◽

10.4018/978-1-60960-100-3.ch115 ◽

2011 ◽

pp. 203-212

Author(s):

Luis V. Casaló ◽

Carlos Flavián ◽

Miguel Guinalíu

Keyword(s):

World Wide Web ◽

World Wide ◽

Virtual Communities ◽

Information Sources ◽

Social Groups ◽

Virtual Community ◽

Chat Rooms ◽

The World ◽

Community Concept ◽

E Mail

Individuals are increasingly turning to computermediated communication in order to get information on which to base their decisions. For instance, many consumers are using newsgroups, chat rooms, forums, e-mail list servers, and other online formats to share ideas, build communities and contact other consumers who are seen as more objective information sources (Kozinets, 2002). These social groups have been traditionally called virtual communities. The virtual community concept is almost as old as the concept of Internet. However, the exponential development of these structures occurred during the nineties (Flavián & Guinalíu, 2004) due to the appearance of the World Wide Web and the spreading of other Internet tools such as e-mail or chats. The justification of this expansion is found in the advantages generated by the virtual communities to both the members and the organizations that create them.

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African Web Portals

Encyclopedia of Portal Technologies and Applications ◽

10.4018/978-1-59140-989-2.ch007 ◽

2011 ◽

pp. 41-46 ◽

Cited By ~ 1

Author(s):

Esharenana E. Adomi

Keyword(s):

Information Retrieval ◽

World Wide Web ◽

Rapid Growth ◽

World Wide ◽

Web Search ◽

Information Age ◽

Web Portals ◽

The Past ◽

The World ◽

The Web

The World Wide Web (WWW) has led to the advent of the information age. With increased demand for information from various quarters, the Web has turned out to be a veritable resource. Web surfers in the early days were frustrated by the delay in finding the information they needed. The first major leap for information retrieval came from the deployment of Web search engines such as Lycos, Excite, AltaVista, etc. The rapid growth in the popularity of the Web during the past few years has led to a precipitous pronouncement of death for the online services that preceded the Web in the wired world.

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Learning Information Extraction Rules for Web Data Mining

Encyclopedia of Data Warehousing and Mining ◽

10.4018/978-1-59140-557-3.ch129 ◽

2011 ◽

pp. 678-683

Author(s):

Chia-Hui Chang ◽

Chun-Nan Hsu

Keyword(s):

Information Extraction ◽

Web Mining ◽

World Wide ◽

Information Sources ◽

Structured Data ◽

Comparison Shopping ◽

Data Formats ◽

The World ◽

Document Collection ◽

Keyword Searching

The explosive growth and popularity of the World Wide Web has resulted in a huge number of information sources on the Internet. However, due to the heterogeneity and the lack of structure of Web information sources, access to this huge collection of information has been limited to browsing and keyword searching. Sophisticated Web-mining applications, such as comparison shopping, require expensive maintenance costs to deal with different data formats. The problem in translating the contents of input documents into structured data is called information extraction (IE). Unlike information retrieval (IR), which concerns how to identify relevant documents from a document collection, IE produces structured data ready for post-processing, which is crucial to many applications of Web mining and search tools.

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