Intelligent Learning for Knowledge Graph towards Geological Data

المؤلفون المشاركون

Zhu, Yueqin
Zhou, Wenwen
Xu, Yang
Liu, Ji
Tan, Yongjie

المصدر

Scientific Programming

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-13، 13ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-02-16

دولة النشر

مصر

عدد الصفحات

13

التخصصات الرئيسية

الرياضيات

الملخص EN

Knowledge graph (KG) as a popular semantic network has been widely used.

It provides an effective way to describe semantic entities and their relationships by extending ontology in the entity level.

This article focuses on the application of KG in the traditional geological field and proposes a novel method to construct KG.

On the basis of natural language processing (NLP) and data mining (DM) algorithms, we analyze those key technologies for designing a KG towards geological data, including geological knowledge extraction and semantic association.

Through this typical geological ontology extracting on a large number of geological documents and open linked data, the semantic interconnection is achieved, KG framework for geological data is designed, application system of KG towards geological data is constructed, and dynamic updating of the geological information is completed accordingly.

Specifically, unsupervised intelligent learning method using linked open data is incorporated into the geological document preprocessing, which generates a geological domain vocabulary ultimately.

Furthermore, some application cases in the KG system are provided to show the effectiveness and efficiency of our proposed intelligent learning approach for KG.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhu, Yueqin& Zhou, Wenwen& Xu, Yang& Liu, Ji& Tan, Yongjie. 2017. Intelligent Learning for Knowledge Graph towards Geological Data. Scientific Programming،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1203429

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhu, Yueqin…[et al.]. Intelligent Learning for Knowledge Graph towards Geological Data. Scientific Programming No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1203429

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhu, Yueqin& Zhou, Wenwen& Xu, Yang& Liu, Ji& Tan, Yongjie. Intelligent Learning for Knowledge Graph towards Geological Data. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1203429

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1203429