Library Management

Academic Search Engines: A Quantitative Outlook (Chandos by Jose Luis Ortega

By Jose Luis Ortega

Academic se's: intends to run in the course of the present landscape of the educational se's via a quantitative strategy that analyses the reliability and consistence of those companies. the target is to explain the most features of those engines, to focus on their benefits and disadvantages, and to debate the consequences of those new items sooner or later of clinical conversation and their effect at the examine size and review. in brief, educational se's offers a precis view of the hot demanding situations that the internet set to the clinical job during the so much novel and cutting edge looking out companies to be had on the internet.

  • This is the 1st method of learn se's completely addressed to the examine group in an integrative guide. the newness, expectation and usability of lots of those companies justify their analysis.
  • This publication isn't in basic terms an outline of the internet functionalities of those providers; it's a clinical overview of the main amazing features of every platform, discussing their importance to the scholarly verbal exchange and examine evaluation.
  • This ebook introduces an unique method in response to a quantitative research of the lined info throughout the large use of crawlers and harvesters which enable getting in intensity into how those engines are operating. Beside of this, an in depth descriptive overview in their functionalities and a severe dialogue approximately their use for medical neighborhood is displayed.

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Extra resources for Academic Search Engines: A Quantitative Outlook (Chandos Information Professional Series)

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6 shows two examples in which the extracted abstract processed by the parser does not exactly correspond to the real abstract of the documents – cutting text and displaying an incomplete summary. Something similar happens with article titles, some of which are not captured in the correct form, and it is not uncommon to find spurious and inexact titles such as ‘unknown title’, ‘title’, ‘contents’ and other unusual forms. 3 per cent) were found, which is a significant proportion. 5 percent) presenting a strange publication date between 0 and 1900.

This model estimates a topic probability for each type of item: author, venue and paper. ƒ Finally, the search services constitute the different access points used by the system to retrieve the information on authors and papers. A chaotic design AMiner is structured in seven differentiated sections which gather the principal search services and functionalities that the search engine offers. In the main page, these sections are presented in a top menu. However, in the main search box you can see another seven sections in a different menu.

47 Academic Search Engines A networked engine AMiner is an academic search engine that was born as a research project addressed to build and analyse scientific social networks. With that purpose in mind, AMiner relies on personal profiles as the foundation for the structure of the entire search platform. , 2008). ƒ In the first stage, AMiner proceeds to the data extraction of two differentiated entities: authors and documents. Unlike other search engines, AMiner does not directly extract authors from documents, but instead crawls the web looking for personal homepages, identifying and collecting names.

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