Construction of A General Academic Search Engine Based on Multi-source and Heterogeneous Data

DOI

10.2991/itim-17.2017.38How to use a DOI?

Keywords

Unified retrieval engine, MH-ALSE, heterogeneous data, collaborative filtering

Abstract

For researchers, the retrieval needs on multi-source and heterogeneous academic data are increasingly urgent. However, the existing retrieval systems still have some shortcomings, such as expensive prices, poor integration, loss of information. In this paper, we present a general framework for designing a unified retrieval system, called the multi-source heterogeneous academic literature search engine (Abbr. MH-ALSE). MH-ALSE is constructed into three phases, i.e., information collection, data integration, and engine implementation. Furthermore, the col-laborative filtering mechanism is also introduced, for achieving personalized recommendation and early warning service. It is expected that MH-ALSE can provide easy-to-use retrieval func-tions to help researchers develop novel ideas and improve re-search efficiency.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qiangkui Leng
AU  - Shurui Wang
AU  - Qi Yan
AU  - Yuping Qin
PY  - 2017/08
DA  - 2017/08
TI  - Construction of A General Academic Search Engine Based on Multi-source and Heterogeneous Data
BT  - Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
PB  - Atlantis Press
SP  - 155
EP  - 157
SN  - 1951-6851
UR  - https://doi.org/10.2991/itim-17.2017.38
DO  - 10.2991/itim-17.2017.38
ID  - Leng2017/08
ER  -