scholarly journals Web users' information retrieval methods and skills

2004 ◽  
Vol 28 (4) ◽  
pp. 254-259 ◽  
Author(s):  
Carol S. Bond
Keyword(s):  
Information Retrieval ◽  
The Internet ◽  
Search Techniques ◽  
Searching Strategy ◽  
Health Related ◽  
Information Retrieval Methods ◽  
The Web

When trying to locate information on the Web people are faced with a variety of options. This research reviewed how a group of health related professionals approached the task of finding a named document. Most were eventually successful, but the majority encountered problems in their search techniques. Even experienced Web users had problems when working with a different interface to normal, and without access to their favourites. No relationship was found between the number of years' experience Web users had and the efficiency of their searching strategy. The research concludes that if people are to be able to use the Web quickly and efficiently as an effective information retrieval tool, as opposed to a recreational tool to surf the Internet, they need to have both an understanding of the medium and the tools, and the skills to use them effectively, both of which were lacking in the majority of participants in this study.

Measuring Situational Anxiety Related to Information Retrieval on the Web Among English-Speaking Internet Users

2019 ◽  
Vol 31 (5) ◽  
pp. 480-491
Author(s):  
Carole Rodon ◽  
Anne Congard
Keyword(s):  
Information Retrieval ◽  
Complex Problem ◽  
The Internet ◽  
Internet Users ◽  
Sum Score ◽  
Affective Processes ◽  
Situational Anxiety ◽  
Internet Learning ◽  
English Speaking ◽  
The Web

Abstract Searching for information on the web is regarded as a complex problem-solving activity involving a range of cognitive and affective processes. Anxiety is a key affective factor. In this article, we describe the construction and initial validation stages of the Information Retrieval on the Web Anxiety Rate (IROWAR) scale. The final structure of this inventory was validated with a sample of 183 English-speaking Internet users. Reliability analyses indicated that the factors were internally consistent (Cronbach’s alpha: 0.92). When we checked divergent validity, we found negative correlations with both self-efficacy and positive attitude towards the Internet. There were no effects of either sex or age on the total IROWAR score, but the Internet search anxiety sum score decreased with the length of use. This scale will be useful in several domains, including research on the determinants of web anxiety, individuals’ experience of web anxiety and ways of supporting them and Internet learning.

scholarly journals WWW support of student learning: A case study

1998 ◽  
Vol 14 (1) ◽  
Author(s):  
Tony Greening
Keyword(s):  
Information Retrieval ◽  
Information Access ◽  
Educational Practice ◽  
The Internet ◽  
First Year ◽  
Pedagogical Tool ◽  
Constructivist Position ◽  
The Web

<span>The World Wide Web (WWW) is achieving a place of prominence in educational practice. However, the benefits of using the Web to support learning are not always apparent. The most prominent public feature of the Internet is the multitude of possibilities that it presents for information retrieval. This is widely believed to offer educational advantage, although the means by which that advantage are realised are typically not well specified. The paper discusses the role of information retrieval opportunities presented by the Internet, and suggests that it requires a new model of information access best supported by a reconsideration of educational philosophy. The constructivist position is favoured. The paper also discusses issues in using the Internet to deliver courses, arguing that the delivery model does not take full advantage of the new possibilities offered by the technology. It then presents a case study of the use of the Web in a first year computer science course, offered in a Problem Based Learning (PBL) mode. The focus is on the appropriate use of the technology as a pedagogical tool in higher education. In the case of a curriculum clearly founded on constructivist principles an important factor in the appropriateness of the supporting technology was that it did not encourage staff and students to adopt more familiar, instructivist patterns of behaviour. In this sense, the role of the Internet within the curriculum needed to be different to those roles that currently tend to typify it.</span>

scholarly journals Analytical review on information retrieval methods and applications in the Semantic Web

2016 ◽  
pp. 051-072
Author(s):  
I.J. Grishanova ◽  
Keyword(s):  
Information Retrieval ◽  
Semantic Web ◽  
Search Engines ◽  
Search Model ◽  
Architectural Features ◽  
Proposed Model ◽  
Analytical Review ◽  
Information Retrieval Methods ◽  
The Web

The article describes and analyzes the Information Retrieval (IR) methods and applications in the environment of Semantic Web. The author provided the basic Information Retrieval concepts, problems, models and classification of IR systems on various grounds. Examples of existing modern search engines, as well as highlighted the stages of development and listed a list of functional and architectural features of 3-rd search engines generation. The proposed model of IR extends the classification of search engines and search model with the possibility of finding new objects that have become available in the web, and use knowledge represented in the Semantic Web.

Effects of Information Filters

2012 ◽  
Vol 2 (2) ◽  
pp. 1-12
Author(s):  
K. G. Srinivasa ◽  
N. Pramod ◽  
K. R. Venugopal ◽  
L. M. Patnaik
Keyword(s):  
Information Retrieval ◽  
Information Processing ◽  
Information Filtering ◽  
Vital Role ◽  
Rational Approach ◽  
The Internet ◽  
Information Filters ◽  
Web Crawlers ◽  
Key Topics ◽  
The Web

In the Internet era, information processing for personalization and relevance has been one of the key topics of research and development. It ranges from design of applications like search engines, web crawlers, learning engines to reverse image searches, audio processed search, auto complete, etc. Information retrieval plays a vital role in most of the above mentioned applications. A part of information retrieval which deals with personalization and rendering is often referred to as Information Filtering. The emphasis of this paper is to empirically analyze the information filters commonly seen and to analyze their correctness and effects. The measure of correctness is not in terms of percentage of correct results but instead a rational approach of analysis using a non mathematical argument is presented. Filters employed by Google’s search engine are used to analyse the effects of filtering on the web. A plausible solution to the errors of filtering phenomenon is also discussed.

Elementary School Students, Information Retrieval, and the Web

2009 ◽  
pp. 469-476
Author(s):  
Valerie Nesset
Keyword(s):  
Elementary School ◽  
Information Retrieval ◽  
Multimedia Information ◽  
Elementary School Students ◽  
Public Library ◽  
Information Resources ◽  
The Internet ◽  
School Students ◽  
Cd Rom ◽  
The Web

In today’s modern world, elementary school students (aged 5 to 12 years) use computers for a wide variety of tasks. These include communication (e-mail, instant messaging, and chatrooms), entertainment (games, video, music, etc.), leisure (such as information relating to hobbies and general interests), and information retrieval to support class-based learning. Internet access is now very widely available from home, school, and public library. A major reason for accessing the Internet is to find Web-based information relevant to classroom learning activities. Undoubtedly the Web represents an enormous and potentially rich source of multimedia information on topics within the elementary school curriculum, but accessing this information does pose a number of challenges. We identify in this article three major problem areas that currently impede effective exploitation by elementary school students of Webbased information resources: information systems are not necessarily intuitive or straightforward for children to use; basic information literacy skills too often are inadequate; and too little content appropriate for young users is available on the Web. The first technology to gain popularity as a means for children to retrieve information was the CD-ROM. By the early 1990s, a wide variety of multimedia information resources targeted specifically at children were available in this medium. Many were children’s encyclopedias, designed to facilitate rapid retrieval of discrete information “chunks,” and often multimedia versions of an original print title. These CD-ROMs could offer an engaging, interactive experience for the young student. Although students were willing to explore and experiment with interfaces (Large, Beheshti, Breuleux, & Renaud, 1994; Large, Beheshti, & Breuleux, 1998), they were not necessarily effective at retrieving information from these CD-ROM titles (Marchionini, 1989; Oliver, 1996). In any event, regardless of its strengths and weaknesses as a classroom resource, CD-ROM technology proved transient and was quickly superseded by the expansion of the Internet and the rise of the Web. Yet the information retrieval problems revealed by CD-ROMs would continue to plague the Web.

scholarly journals Information Retrieval on Web: Ontology based Vs Traditional Search Engines

2019 ◽  
Vol 8 (3) ◽  
pp. 901-903
Keyword(s):  
Information Retrieval ◽  
Search Engines ◽  
Keyword Search ◽  
Relevant Information ◽  
The Internet ◽  
Large Pool ◽  
Tremendous Amount ◽  
Advanced Computing ◽  
The Comparative Study ◽  
The Web

Information Retrieval has become the buzzword in the today’s era of advanced computing. The tremendous amount of information is available over the Internet in the form of documents which can either be structured or unstructured. It is really difficult to retrieve relevant information from such large pool. The traditional search engines based on keyword search are unable to give the desired relevant results as they search the web on the basis of the keywords present in the query fired. On contrary the ontology based semantic search engines provide relevant and quick results to the user as the information stored in the semantic web is more meaningful. The paper gives the comparative study of the ontology based search engines with those which are keyword based. Few of both types have been taken and same queries are run on each one of them to analyze the results to compare the precision of the results provided by them by classifying the results as relevant or non-relevant.

Information Retrieval by Semantic Similarity

2011 ◽  
pp. 647-665 ◽  
Author(s):  
Angelos Hliaoutakis ◽  
Giannis Varelas ◽  
Epimenidis Voutsakis ◽  
Euripides G.M. Petrakis ◽  
Evangelos Milios
Keyword(s):  
Information Retrieval ◽  
Semantic Similarity ◽  
Vector Space Model ◽  
Retrieval Method ◽  
Space Model ◽  
Performance Improvements ◽  
Reference Ontology ◽  
Information Retrieval Methods ◽  
Similarity Method ◽  
The Web

Semantic Similarity relates to computing the similarity between conceptually similar but not necessarily lexically similar terms. Typically, semantic similarity is computed by mapping terms to an ontology and by examining their relationships in that ontology. We investigate approaches to computing the semantic similarity between natural language terms (using WordNet as the underlying reference ontology) and between medical terms (using the MeSH ontology of medical and biomedical terms). The most popular semantic similarity methods are implemented and evaluated using WordNet and MeSH. Building upon semantic similarity, we propose the Semantic Similarity based Retrieval Model (SSRM), a novel information retrieval method capable for discovering similarities between documents containing conceptually similar terms. The most effective semantic similarity method is implemented into SSRM. SSRM has been applied in retrieval on OHSUMED (a standard TREC collection available on the Web). The experimental results demonstrated promising performance improvements over classic information retrieval methods utilizing plain lexical matching (e.g., Vector Space Model) and also over state-of-theart semantic similarity retrieval methods utilizing ontologies.

scholarly journals Classical and Probabilistic Information Retrieval Techniques: An Audit

2021 ◽  
Vol 5 (3) ◽  
pp. 84-91
Author(s):  
Qaiser Abbas
Keyword(s):  
Information Retrieval ◽  
Information Resources ◽  
The Internet ◽  
Boolean Models ◽  
Probabilistic Information ◽  
Retrieval Technique ◽  
Survey Results ◽  
Information Retrieval Methods ◽  
Different Sources ◽  
Complicated Task

Information retrieval is acquiring particular information from large resources and presenting it according to the user’s need. The incredible increase in information resources on the Internet formulates the information retrieval procedure, a monotonous and complicated task for users. Due to over access of information, better methodology is required to retrieve the most appropriate information from different sources. The most important information retrieval methods include the probabilistic, fuzzy set, vector space, and boolean models. Each of these models usually are used for evaluating the connection between the question and the retrievable documents. These methods are based on the keyword and use lists of keywords to evaluate the information material. In this paper, we present a survey of these models so that their working methodology and limitations are discussed. This is an important understanding because it makes possible to select an information retrieval technique based on the basic requirements. The survey results showed that the existing model for knowledge recovery is somewhere short of what was planned. We have also discussed different areas of IR application where these models could be used.

A Design of a Sci-Tech Information Retrieval Platform Based on Apache Solr and Web Mining

2014 ◽  
Vol 530-531 ◽  
pp. 883-886
Author(s):  
Fu Chen ◽  
Cheng Jie Xu ◽  
Quan Yin Zhu
Keyword(s):  
Information Retrieval ◽  
Web Mining ◽  
Fault Tolerant ◽  
Sql Server ◽  
High Tech ◽  
The Internet ◽  
Web Spider ◽  
Sql Server Database ◽  
Core Issue ◽  
The Web

In order to service the need of high-tech companies, allow companies get the sci-tech information more quickly and efficiently. The sci-tech information retrieval platform is proposed. The platform has four parts; the web spider, the Solr engine, the SQL Server 2008 database and the client. Each part deals a core issue, the mode make whole system more flexible, scalable and fault tolerant. The web spider collect sci-tech information from the Internet, the Solr engine takes charge of indexing documents gained by the web spider, the SQL Server database store all the users information and the configuration of the whole system, the client provides several REST-like APIs to modify the configurations and get the latest information in the platform.

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