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Academic Search Engines
A Quantitative Outlook
1st Edition - September 2, 2014
Author: Jose Luis Ortega
Language: English
Paperback ISBN:9781843347910
9 7 8 - 1 - 8 4 3 3 4 - 7 9 1 - 0
eBook ISBN:9781780634722
9 7 8 - 1 - 7 8 0 6 3 - 4 7 2 - 2
Academic Search Engines intends to run through the current panorama of the academic search engines through a quantitative approach that analyses the reliability and consisten…Read more
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Academic Search Engines intends to run through the current panorama of the academic search engines through a quantitative approach that analyses the reliability and consistence of these services. The objective is to describe the main characteristics of these engines, to highlight their advantages and drawbacks, and to discuss the implications of these new products in the future of scientific communication and their impact on the research measurement and evaluation. In short, Academic Search Engines presents a summary view of the new challenges that the Web set to the scientific activity through the most novel and innovative searching services available on the Web.
This is the first approach to analyze search engines exclusively addressed to the research community in an integrative handbook. The novelty, expectation and usefulness of many of these services justify their analysis
This book is not merely a description of the web functionalities of these services; it is a scientific review of the most outstanding characteristics of each platform, discussing their significance to the scholarly communication and research evaluation
This book introduces an original methodology based on a quantitative analysis of the covered data through the extensive use of crawlers and harvesters which allow going in depth into how these engines are working. Beside of this, a detailed descriptive review of their functionalities and a critical discussion about their use for scientific community is displayed
Librarians and Information Scientists that wish to improve their knowledge about the new search services, including reliable assessments. Researchers and scientists that desire to use these engines to find relevant information and to observe their research and networking performance
1: Introduction
Abstract
What is an academic search engine?
Challenges for an academic search engine
The evolution of academic search engines
Future perspectives
2: CiteSeerx: a scientific engine for scientists
Abstract
Autonomous citation indexing
A focus on computer science
A searchable digital library
Searching for authors and citations
Parsing mistakes
Other ‘Seers’: the CiteSeerx lab
A pioneer in citation indexing
3: Scirus: a multi-source searcher
Abstract
Web pages and authoritative sources
Crawling and data extraction
Source filtering
Ranking on links
A missed opportunity
4: AMiner: science networking as an information source
Abstract
A networked engine
A chaotic design
Based on bibliographic databases
Searching only in documents
Exhaustive author profiles
PatentMiner
A half-academic search engine
5: Microsoft Academic Search: the multi-object engine
Abstract
The object-level vertical search engine
Slow content updating speed
Filtering across the directory
A multidimensional ranking
A composition based on profiles
Visualization: graphs as research assessment tools
More a directory than an engine
6: Google Scholar: on the shoulders of a giant
Abstract
A specialization of Google
Feeding back its own sources
The opacity of results
Google Scholar’s additional services
The most exhaustive academic search engine
7: Other academic search engines
Abstract
BASE
Q-Sensei Scholar
WorldWideScience
8: A comparative analysis
Abstract
Functioning
Structure
Coverage
Searching
A heterogeneous sample
9: Final remarks
No. of pages: 222
Language: English
Edition: 1
Published: September 2, 2014
Imprint: Chandos Publishing
Paperback ISBN: 9781843347910
eBook ISBN: 9781780634722
JO
Jose Luis Ortega
José Luis Ortega is a web researcher in the Spanish National Research Council (CSIC). He achieved a fellowship to the Cybermetrics Lab of the CSIC, where he finished his doctoral studies. In 2005, he was hired by the Virtual Knowledge Studio of the Royal Netherlands Academy of Sciences and Arts, and in 2008 he received a full position in the Vice-presidency for Scientific and Technological Research at the CSIC, working in research evaluation. He collaborates with the Cybermetrics Lab in research areas such as Webometrics, Web usage mining, Visualization of Information, Social network analysis and Web bibliometrics.