Epistemic Metacognition in the Context of Information Searching on the Web

2008 ◽  
pp. 377-404 ◽  
Author(s):  
Lucia Mason ◽  
Angela Boldrin
Keyword(s):  
Information Searching ◽  
The Web

Mining Hidden Gems beneath the Surface: A Look at the Invisible Web

2001 ◽  
Vol 30 (2) ◽  
pp. 125-135 ◽  
Author(s):  
Randal D. Carlson ◽  
Judi Repman
Keyword(s):  
New Technologies ◽  
General Information ◽  
Computer Users ◽  
Depth Information ◽  
Information Searching ◽  
The Future ◽  
Information Landscape ◽  
Surface Web ◽  
The Web ◽  
The Invisible

The future of the information landscape is being shaped by new technologies that store and retrieve information. For many computer users, the Web is their first and last stop in information searching. Searches produce an overwhelming amount of returns, but may have few that are “on target.” Finding general information may be easy, but depth of information is frequently lacking. This article focuses on describing resources for researchers, called the Invisible Web, that are hidden from usual search tools and contrasting them with those resources available in the surface Web. It then identifies search tools and strategies that can be used to dig beneath the surface of the Web to locate credible, in-depth information. These resources must be accessed using specialized search tools and databases.

Information searching and commitment strategies of maritime faculty students on the web

2020 ◽  
pp. 026666692090378 ◽  
Author(s):  
Arzu Deveci Topal ◽  
Münir Süner
Keyword(s):  
Smart Phone ◽  
Scientific Data ◽  
State University ◽  
Information Searching ◽  
Marine Transportation ◽  
Marine Management ◽  
Electronic Environment ◽  
Turkish State ◽  
Academic Year ◽  
The Web

Although searching for information in an electronic environment is generally seen as an efficient and easy process, accessing the desired information within the breadth of data available on the web can be a complex and difficult process. For students preparing for a life at sea, it is important to establish and determine the appropriate strategies for accessing and interpreting information on the web, as their ability to perform such tasks quickly and effectively is vital for their success in this particular sector. In this study, the information searching and commitment strategies of students studying in the maritime faculty of a Turkish state university in the 2018-2019 academic year were examined. The study determined that students generally use advanced searching strategies, explicit components instead of more implicit components, and simple searching strategies instead of advanced searching strategies. Further, students in the department of Marine Transportation used more varied searching strategies on the web than those in the department of Marine Management. Possessing higher levels of computer skills was found to be more significant than computer or smart phone usage times in determining more advanced searching strategies. The results highlight the importance of educating students in order to gain awareness of how to organize information and identify appropriate content alongside teaching them how to access and use the information and scientific data they are looking for.

scholarly journals Recommender System for Multiple Databases Based on Web Log Mining

2021 ◽  
Vol 5 (5) ◽  
pp. 187-193
Author(s):  
Wan Hussain Wan Ishak ◽  
Nurul Farhana Ismail
Keyword(s):  
Recommender System ◽  
Information Overload ◽  
Web Log Mining ◽  
Large Collection ◽  
Information Searching ◽  
Web Log ◽  
Online Databases ◽  
Innovative Solutions ◽  
Log Mining ◽  
The Web

Finding information from a large collection of resources is a tedious and time-consuming process. Due to information overload, searchers often need help and assistance to search and find the information. Recommender system is one of the innovative solutions to the problem related to information searching and retrieval. It helps and assist searchers by recommending the possible solution based on the previous search activities. These activities can be obtained from the web log, which requires a web log mining approach to extract all the keywords. In this study, keywords obtained from the library web log were analysed and the search keyword patterns were obtained. These keyword patterns were from several databases or resources that were subscribed by the library. The finding revealed some of the popular keywords and the most searchable databases among the searchers. This information was used to design and develop the recommender system that can be used to assist other searchers. The usability test of the recommender system showed that it is beneficial and useful to the searchers. These findings will also benefit the management in planning and managing the subscription of online databases at the university’s library.

An Analysis of Travel Information Searching on the Web

2008 ◽  
Vol 10 (2) ◽  
pp. 101-118 ◽  
Author(s):  
Bernard J. Jansen ◽  
Christopher C. Ciamacca ◽  
Amanda Spink
Keyword(s):  
Information Searching ◽  
Travel Information ◽  
The Web

The impact of users’ verbal/imagery cognitive styles on their Web search behavior

2014 ◽  
Vol 66 (4) ◽  
pp. 401-423 ◽  
Author(s):  
Nadjla Hariri ◽  
Maryam Asadi ◽  
Yazdan Mansourian
Keyword(s):  
Web Search ◽  
Cognitive Styles ◽  
Search Behavior ◽  
Searching Behavior ◽  
Search Performance ◽  
Information Searching ◽  
Process Information ◽  
Content Type ◽  
Verbal Imagery ◽  
The Web

Purpose – The purpose of this paper is to investigate the effects of verbal-imagery cognitive styles of information searching behavior of users in using the Web. Design/methodology/approach – In all, 44 participants were recruited for this study. The participants’ cognitive styles were measured by using Riding's Cognitive Style Analysis test. Three search tasks were designed based on Kim's search task definitions. Moreover, an individual lab session was arranged and then participants’ memos were analyzed using content analysis. Findings – In all, 48 strategies in four categories of behaviors in searching the Web were identified. There were associations between users’ cognitive styles and their information searching behavior. The participants’ selection of the search initiation behaviors varied, so that imagers suffered from more varied initial behavior than verbalizers. The verbalizers tended to search in a narrow area, then broadening the area and following structured navigation and reading behavior to process information, while imagers tended to search in a general area, then narrowing down the search and adopting mixed navigational styles and mixed behaviors to process information. This study revealed that there was a difference in search performance of verbalizers and imagers descriptively, as verbalizers spent more time compared to imagers and imagers visited more nodes than verbalizers for the tasks completion. In addition, the task was an important variable influencing the search performance. Based on the key findings (search initiation behaviors, formulating search queries, navigational behaviors, information processing behaviors), a conceptual pattern of Web searching and cognitive styles is presented. Research limitations/implications – The study provides a new understanding of Web users’ information search behavior based on cognitive styles which contributes to the theoretical basis of Web search research. It also raises various questions within the context of user studies Originality/value – The paper adopted a mixed approach in the area of information searching on the Web. A valuable contribution lies in the methods developed.

Searching for Information on the Web

2011 ◽  
pp. 184-201 ◽  
Author(s):  
Fadhilah Mat Yamin ◽  
T. Ramayah
Keyword(s):  
World Wide Web ◽  
World Wide ◽  
Search Task ◽  
Information Need ◽  
Search Query ◽  
Information Searching ◽  
Search System ◽  
Query Formulation ◽  
The World ◽  
The Web

To date, the World Wide Web (WWW) is the most popular environment for information searching and retrieval. One of the steps in searching for information on the web is by entering a query to the search system and reformulating the queries. There are many challenges and issues in formulating effective queries. Effective queries will produce relevant document that matches the user information need. The discussion of this chapter will be focusing on how to apply both breadth and depth search query formulation strategies for effective searching on the web. The discussion will be based on a selected search task. At the end of the chapter, a recommendation for a step-by-step searching procedure will be presented as a guideline for effective searching.

scholarly journals An information-summarising instruction strategy for improving the web-based problem solving abilities of students

2011 ◽  
Vol 27 (2) ◽  
Author(s):  
Gwo-Jen Hwang ◽  
Fan-Ray Kuo
Keyword(s):  
Problem Solving ◽  
Innovative Approach ◽  
Online Information ◽  
School Students ◽  
Information Searching ◽  
Web Based ◽  
Web Based Learning ◽  
Searching Ability ◽  
Experimental Group ◽  
The Web

<blockquote>As knowledge rapidly expands and accumulates, training and assessing students' information searching ability for solving problems on the Internet has become an important and challenging issue. This research aims to improve the web-based problem solving abilities of primary school students by employing an information summarising approach for improving their skills in using keywords and extracting proper information. Moreover, a web-based learning environment is employed to record and analyse the online information searching behaviours of students. An experiment has been conducted to evaluate the effectiveness of this innovative approach. The experimental results show that the information summarising training significantly improved the performance of the students in the experimental group in terms of using keywords, selecting information resources and extracting important content. Therefore, it was concluded that the innovative approach has a significant impact on promoting the web-based problem solving abilities of students.</blockquote>

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