ScienScan - An Efficient Visualization and Browsing Tool for Academic Search
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.
Cite
Text
Mirylenka and Passerini. "ScienScan - An Efficient Visualization and Browsing Tool for Academic Search." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2013. doi:10.1007/978-3-642-40994-3_51Markdown
[Mirylenka and Passerini. "ScienScan - An Efficient Visualization and Browsing Tool for Academic Search." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2013.](https://mlanthology.org/ecmlpkdd/2013/mirylenka2013ecmlpkdd-scienscan/) doi:10.1007/978-3-642-40994-3_51BibTeX
@inproceedings{mirylenka2013ecmlpkdd-scienscan,
title = {{ScienScan - An Efficient Visualization and Browsing Tool for Academic Search}},
author = {Mirylenka, Daniil and Passerini, Andrea},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2013},
pages = {667-671},
doi = {10.1007/978-3-642-40994-3_51},
url = {https://mlanthology.org/ecmlpkdd/2013/mirylenka2013ecmlpkdd-scienscan/}
}