Engineering a search engine (weblib) and browser (knowledge navigator) for digital libraries: global knowledge discovery tools exclusively for librarians and libraries on the web

V. Sreenivasulu

doi:10.1002/asi.10188

Content Management Systems Performance and Compliance Assessment Based on a Data-Driven Search Engine Optimization Methodology

Information ◽

10.3390/info12070259 ◽

2021 ◽

Vol 12 (7) ◽

pp. 259

Author(s):

Ioannis Drivas ◽

Dimitrios Kouis ◽

Daphne Kyriaki-Manessi ◽

Georgios Giannakopoulos

Keyword(s):

Search Engine ◽

Common Knowledge ◽

Organizational Structures ◽

Content Management ◽

Data Driven ◽

Management Systems ◽

Search Engine Optimization ◽

Optimization Methodology ◽

Content Management Systems ◽

The Web

While digitalization of cultural organizations is in full swing and growth, it is common knowledge that websites can be used as a beacon to expand the awareness and consideration of their services on the Web. Nevertheless, recent research results indicate the managerial difficulties in deploying strategies for expanding the discoverability, visibility, and accessibility of these websites. In this paper, a three-stage data-driven Search Engine Optimization schema is proposed to assess the performance of Libraries, Archives, and Museums websites (LAMs), thus helping administrators expand their discoverability, visibility, and accessibility within the Web realm. To do so, the authors examine the performance of 341 related websites from all over the world based on three different factors, Content Curation, Speed, and Security. In the first stage, a statistically reliable and consistent assessment schema for evaluating the SEO performance of LAMs websites through the integration of more than 30 variables is presented. Subsequently, the second stage involves a descriptive data summarization for initial performance estimations of the examined websites in each factor is taking place. In the third stage, predictive regression models are developed to understand and compare the SEO performance of three different Content Management Systems, namely the Drupal, WordPress, and custom approaches, that LAMs websites have adopted. The results of this study constitute a solid stepping-stone both for practitioners and researchers to adopt and improve such methods that focus on end-users and boost organizational structures and culture that relied on data-driven approaches for expanding the visibility of LAMs services.

Download Full-text

Big Data Analytics for Search Engine Optimization

Big Data and Cognitive Computing ◽

10.3390/bdcc4020005 ◽

2020 ◽

Vol 4 (2) ◽

pp. 5 ◽

Cited By ~ 1

Author(s):

Ioannis C. Drivas ◽

Damianos P. Sakas ◽

Georgios A. Giannakopoulos ◽

Daphne Kyriaki-Manessi

Keyword(s):

Big Data ◽

Cultural Heritage ◽

Search Engine ◽

Data Analytics ◽

User Behavior ◽

Big Data Analytics ◽

Data Types ◽

Search Engine Optimization ◽

The Impact ◽

The Web

In the Big Data era, search engine optimization deals with the encapsulation of datasets that are related to website performance in terms of architecture, content curation, and user behavior, with the purpose to convert them into actionable insights and improve visibility and findability on the Web. In this respect, big data analytics expands the opportunities for developing new methodological frameworks that are composed of valid, reliable, and consistent analytics that are practically useful to develop well-informed strategies for organic traffic optimization. In this paper, a novel methodology is implemented in order to increase organic search engine visits based on the impact of multiple SEO factors. In order to achieve this purpose, the authors examined 171 cultural heritage websites and their retrieved data analytics about their performance and user experience inside them. Massive amounts of Web-based collections are included and presented by cultural heritage organizations through their websites. Subsequently, users interact with these collections, producing behavioral analytics in a variety of different data types that come from multiple devices, with high velocity, in large volumes. Nevertheless, prior research efforts indicate that these massive cultural collections are difficult to browse while expressing low visibility and findability in the semantic Web era. Against this backdrop, this paper proposes the computational development of a search engine optimization (SEO) strategy that utilizes the generated big cultural data analytics and improves the visibility of cultural heritage websites. One step further, the statistical results of the study are integrated into a predictive model that is composed of two stages. First, a fuzzy cognitive mapping process is generated as an aggregated macro-level descriptive model. Secondly, a micro-level data-driven agent-based model follows up. The purpose of the model is to predict the most effective combinations of factors that achieve enhanced visibility and organic traffic on cultural heritage organizations’ websites. To this end, the study contributes to the knowledge expansion of researchers and practitioners in the big cultural analytics sector with the purpose to implement potential strategies for greater visibility and findability of cultural collections on the Web.

Download Full-text

Search Engine Update

Legal Information Management ◽

10.1017/s1472669600000566 ◽

2001 ◽

Vol 1 (3) ◽

pp. 28-31 ◽

Cited By ~ 1

Author(s):

Valerie Stevenson

Keyword(s):

Search Engine ◽

Search Engines ◽

Search Strategy ◽

Search Strategies ◽

Boolean Logic ◽

Web Searches ◽

Search Techniques ◽

Looking Back ◽

The Web

Looking back to 1999, there were a number of search engines which performed equally well. I recommended defining the search strategy very carefully, using Boolean logic and field search techniques, and always running the search in more than one search engine. Numerous articles and Web columns comparing the performance of different search engines came to different conclusions on the ‘best’ search engines. Over the last year, however, all the speakers at conferences and seminars I have attended have recommended Google as their preferred tool for locating all kinds of information on the Web. I confess that I have now abandoned most of my carefully worked out search strategies and comparison tests, and use Google for most of my own Web searches.

Download Full-text

A MODEL BASED ON FUZZY LINGUISTIC INFORMATION TO EVALUATE THE QUALITY OF DIGITAL LIBRARIES

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622010003907 ◽

2010 ◽

Vol 09 (03) ◽

pp. 455-472 ◽

Cited By ~ 31

Author(s):

F. J. CABRERIZO ◽

J. LÓPEZ-GIJÓN ◽

A. A. RUÍZ ◽

E. HERRERA-VIEDMA

Keyword(s):

Digital Libraries ◽

User Satisfaction ◽

Information Access ◽

Great Influence ◽

Linguistic Information ◽

Model Based ◽

Global Quality ◽

Fuzzy Linguistic ◽

The Web

The Web is changing the information access processes and it is one of the most important information media. Thus, the developments on the Web are having a great influence over the developments on others information access instruments as digital libraries. As the development of digital libraries is to satisfy user need, user satisfaction is essential for the success of a digital library. The aim of this paper is to present a model based on fuzzy linguistic information to evaluate the quality of digital libraries. The quality evaluation of digital libraries is defined using users' perceptions on the quality of digital services provided through their Websites. We assume a fuzzy linguistic modeling to represent the users' perception and apply automatic tools of fuzzy computing with words based on the LOWA and LWA operators to compute global quality evaluations of digital libraries. Additionally, we show an example of application of this model where three Spanish academic digital libraries are evaluated by fifty users.

Download Full-text

A Low-Cost Library Database Solution

Information Technology and Libraries ◽

10.6017/ital.v19i1.10074 ◽

2017 ◽

Vol 19 (1) ◽

pp. 46-49 ◽

Cited By ~ 3

Author(s):

Mark England ◽

Lura Joseph ◽

Nem W. Schlect

Keyword(s):

Search Engine ◽

Programming Language ◽

Relational Databases ◽

Low Cost ◽

The World ◽

The Web ◽

Interface Designs

Two locally created databases are made available to the world via the Web using an inexpensive but highly functional search engine created in-house. The technology consists of a microcomputer running UNIX to serve relational databases. CGI forms created using the programming language Perl offer flexible interface designs for database users and database maintainers.

Download Full-text

Inside the Web: A Look at Digital Libraries and the Invisible/Deep Web

Journal of Educational Technology Systems ◽

10.2190/et.37.1.f ◽

2008 ◽

Vol 37 (1) ◽

pp. 71-82 ◽

Cited By ~ 2

Author(s):

Mila C. Su

Keyword(s):

Digital Libraries ◽

Deep Web ◽

The Web ◽

The Invisible

Download Full-text

Creating and using Web corpora

International Journal of Corpus Linguistics ◽

10.1075/ijcl.10.4.07the ◽

2005 ◽

Vol 10 (4) ◽

pp. 517-541 ◽

Cited By ~ 4

Author(s):

Mike Thelwall

Keyword(s):

Search Engine ◽

Web Sites ◽

Web Crawler ◽

Commercial Search Engine ◽

British National Corpus ◽

The Uk ◽

The University ◽

The Web ◽

National Corpus

The Web has recently been used as a corpus for linguistic investigations, often with the help of a commercial search engine. We discuss some potential problems with collecting data from commercial search engine and with using the Web as a corpus. We outline an alternative strategy for data collection, using a personal Web crawler. As a case study, the university Web sites of three nations (Australia, New Zealand and the UK) were crawled. The most frequent words were broadly consistent with non-Web written English, but with some academic-related words amongst the top 50 most frequent. It was also evident that the university Web sites contained a significant amount of non-English text, and academic Web English seems to be more future-oriented than British National Corpus written English.

Download Full-text

Digital Library and Intellectual Issues—Issues in Copyright and Intellectual Property

International Education Studies ◽

10.5539/ies.v12n1p114 ◽

2018 ◽

Vol 12 (1) ◽

pp. 114

Author(s):

Mohammad Niqresh

Keyword(s):

Intellectual Property ◽

Property Rights ◽

Intellectual Property Rights ◽

Digital Library ◽

Digital Libraries ◽

Modern Technology ◽

Information Resources ◽

Digital Resources ◽

The Third ◽

The Web

The study aims at identifying the concept of digital library, it also tries to shed the light on the most significant intellectual issues by presenting its definition, development, functions (selection and acquisition of information resources from the web, sources indexing, communication and management of intellectual property rights, production of electronic resources and its availability, and digital resources maintaining), characteristics, and the purpose of turning into digital library, passed by the proposed stages of digital library transition, Types of Intellectual Property (Copyright, Patents, Trademarks, Commercial Secrets), it also discusses copyrights and intellectual property, the problems and challenges of digital library, and finally the future of digital library. Many researchers agree that the main objective of the digital library is to accomplish all the functions of the traditional library, but in the form of electronic digital libraries which are only an extension for jobs that are performed and the resources that are accessible in digital library. The study concluded that digital libraries emerged as an obligatory result of revolution of the third millennium which is called the communications revolution, as libraries are able to prove that they are able to stand and cope with all the modern technology, where there is no conflict between the new and modern trends in libraries issue, but it also benefits from both of them concerning their evolution instruments in service for beneficiaries in every time and place.

Download Full-text