In this paper we present ScienScan - a browsing and visualization tool for academic search. The tool operates in real time by post-processing the query results returned by an academic search engine. ScienScan discovers topics in the search results and summarizes them in the form of a concise hierarchical topic map. The produced topical summary informatively represents the results in a visual way and provides an additional filtering control. We demonstrate the operation of ScienScan deploying it on top of the search API of Microsoft Academic Search. © 2013 Springer-Verlag.

ScienScan – An Efficient Visualization and Browsing Tool for Academic Search

Passerini, Andrea
2013-01-01

Abstract

In this paper we present ScienScan - a browsing and visualization tool for academic search. The tool operates in real time by post-processing the query results returned by an academic search engine. ScienScan discovers topics in the search results and summarizes them in the form of a concise hierarchical topic map. The produced topical summary informatively represents the results in a visual way and provides an additional filtering control. We demonstrate the operation of ScienScan deploying it on top of the search API of Microsoft Academic Search. © 2013 Springer-Verlag.
2013
Machine Learning and Knowledge Discovery in Databases
Blockeel, Hendrik, Kersting, Kristian, Nijssen, Siegfried, Železný, Filip
Berlin Heidelberg
Springer Berlin Heidelberg
9783642409936
D., Mirylenka; Passerini, Andrea
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/67304
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