HECATE: A Full-Text Retrieval System for Short Text

DOI

10.2991/amitp-16.2016.75How to use a DOI?

Keywords

short text, full-text retrieval.

Abstract

Nowadays, the proportion of Chinese short text gradually increases in the Internet information. Without the division on the length of text, indexing and retrieval of traditional full-text retrieval system result in low efficiency. Oriented to short text application scenarios , we designs overall three steps for short text, including the information exchange, indexing, retrieving and optimizes the index storage structure, the selection of core words and eventually completes a system from input of the document to searching results output. Compared with the mainstream open source full text search engine Elasticsearch, Experimental results show that it has a great advantage in indexing time, space performance, retrieval time and it is necessary for full-text retrieval system to design and optimize in terms of short text.

Copyright

© 2016, 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  - Song Wang
AU  - Yongping Xiong
PY  - 2016/09
DA  - 2016/09
TI  - HECATE: A Full-Text Retrieval System for Short Text
BT  - Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
PB  - Atlantis Press
SP  - 395
EP  - 405
SN  - 2352-538X
UR  - https://doi.org/10.2991/amitp-16.2016.75
DO  - 10.2991/amitp-16.2016.75
ID  - Wang2016/09
ER  -