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Academic Search Engines : a Quantitative Outlook.

Author: Jose Luis Ortega
Publisher: Burlington : Elsevier Science, 2014.
Series: Chandos information professional series.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Ortega, Jose Luis.
Academic Search Engines : A Quantitative Outlook.
Burlington : Elsevier Science, ©2014
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jose Luis Ortega
ISBN: 9781780634722 1780634722
OCLC Number: 892799163
Description: 1 online resource (221 pages).
Contents: Cover; Academic Search Engines: A quantitative outlook; Copyright; Dedication; Contents; List of figures and tables; Figures; Tables; Preface; About the author; 1 Introduction; 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; 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 searcherWeb pages and authoritative sources; Crawling and data extraction; Source filtering; Ranking on links; A missed opportunity; 4 AMiner: science networking as an information source; 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; The object-level vertical search engine; Slow content updating speed; Filtering across the directory; A multidimensional ranking. A composition based on profilesVisualization: graphs as research assessment tools; More a directory than an engine; 6 Google Scholar: on the shoulders of a giant; 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; BASE; Q-Sensei Scholar; WorldWideScience; 8 A comparative analysis; Functioning; Structure; Coverage; Searching; A heterogeneous sample; 9 Final remarks; References; Index.
Series Title: Chandos information professional series.

Abstract:

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 thro.

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