Information Retrieval Technology Based on Knowledge Graph

DOI

10.2991/icammce-18.2018.65How to use a DOI?

Keywords

Knowledge Graph, Map Retrieval, Automatic Construction, Smart Recommendation

Abstract

In the big data environment with the rapid development of the Internet, the dependence on information search is becoming stronger and stronger. At present, full text search based on keywords has been difficult to satisfy people's search needs. In this case, an information retrieval method based on knowledge graphs is proposed. Through a self-supervised open Chinese relation extraction method, the knowledge of knowledge graphs is extracted from large-scale unstructured data in the Internet, and the knowledge graphs are constructed based on related domain knowledge bases. Based on the knowledge graph, information retrieval is performed through the calculation of semantic similarity. Using this technology for information retrieval, the efficiency and accuracy of the retrieval results will be greatly improved, and it has a very good application value in the field of information retrieval and smart recommendation.

Copyright

© 2018, 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  - Ce Wang
AU  - Hongzhi Yu
AU  - Fucheng Wan
PY  - 2018/05
DA  - 2018/05
TI  - Information Retrieval Technology Based on Knowledge Graph
BT  - Proceedings of the 2018 3rd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018)
PB  - Atlantis Press
SP  - 291
EP  - 296
SN  - 2352-5401
UR  - https://doi.org/10.2991/icammce-18.2018.65
DO  - 10.2991/icammce-18.2018.65
ID  - Wang2018/05
ER  -