Auto-Construction of Domain Ontology based on Wikipedia and Scientific Papers

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Auto-Construction of Domain Ontology based on Wikipedia and Scientific Papers
Authors
Lan Huang
Chongliang Sun
Yang Chi
Hao Xu
Publication date
2016
Links
Original

Auto-Construction of Domain Ontology based on Wikipedia and Scientific Papers - scientific work related to Wikipedia quality published in 2016, written by Lan Huang, Chongliang Sun, Yang Chi and Hao Xu.

Overview

Ontology plays an important role in information retrieval, common sense reasoning, knowledge bases construction and so on, while the conventional manual ontology construction with numerous human cost is hard to maintain. Meanwhile, though many general ontology databases have existed, the domain ontology is rare and proved has lots of challenges to construct. In this paper, an auto-construction of domain ontology tree with terms as its nodes and relationships as its sides is implemented. Reinforcement learning is used to get the depth of ontology and k-means hierarchical clustering to get the related relationships in ontology. Authors experiment shows that the methodology constructing domain ontology automatically for different agents holds better efficiency and accuracy.

Embed

Wikipedia Quality

Huang, Lan; Sun, Chongliang; Chi, Yang; Xu, Hao. (2016). "[[Auto-Construction of Domain Ontology based on Wikipedia and Scientific Papers]]".

English Wikipedia

{{cite journal |last1=Huang |first1=Lan |last2=Sun |first2=Chongliang |last3=Chi |first3=Yang |last4=Xu |first4=Hao |title=Auto-Construction of Domain Ontology based on Wikipedia and Scientific Papers |date=2016 |url=https://wikipediaquality.com/wiki/Auto-Construction_of_Domain_Ontology_based_on_Wikipedia_and_Scientific_Papers}}

HTML

Huang, Lan; Sun, Chongliang; Chi, Yang; Xu, Hao. (2016). &quot;<a href="https://wikipediaquality.com/wiki/Auto-Construction_of_Domain_Ontology_based_on_Wikipedia_and_Scientific_Papers">Auto-Construction of Domain Ontology based on Wikipedia and Scientific Papers</a>&quot;.