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Big Data: Opportunities, Challenges and Solutions Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Collecting University Rankings for Comparison Using Web Extraction and Entity Linking Techniques

Author : Nick Bassiliades

Published in: Information and Communication Technologies in Education, Research, and Industrial Applications

Publisher: Springer International Publishing

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Abstract

University rankings are rankings of institutions in higher education, ordered by combinations of factors. Rankings are conducted by various organizations, such as news media, websites, governments, academics and private corporations. Due to huge financial and other interests, the rankings of universities worldwide recently received increasing attention. The rankings are based on different criteria and collect data in various ways. As a result, there is a large divergence in the specific rankings of different institutions. In order to compare rankings so that safe conclusions about their reliability are drawn, data from the sites of different such ranking lists must be collected. In this paper we present this first step for university ranking comparison, namely we discuss in detail how we have developed a Prolog application, called URank, that collects the data, by (a) extracting them from the various ranking list web sites using web data extraction techniques, (b) uniquely identifying the University entities within the above lists by linking them to the DBpedia linked open data set, and (c) constructing a combined data set by merging the individual ranking list data sets using their DBpedia URI as a primary key.

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Footnotes
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Metadata
Title
Collecting University Rankings for Comparison Using Web Extraction and Entity Linking Techniques
Author
Nick Bassiliades
Copyright Year
2014
Book
Information and Communication Technologies in Education, Research, and Industrial Applications

Print ISBN: 978-3-319-13205-1

Electronic ISBN: 978-3-319-13206-8

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-13206-8_2

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