University of Illinois Urbana-Champaign

KnowPoetry: A Knowledge Service Platform for Tang Poetry Research Based on Domain-Specific Knowledge Graph

Hong, Liang; Hou, Wenjun; Zhou, Lina

Permalink

https://hdl.handle.net/2142/109278

Description

Title
KnowPoetry: A Knowledge Service Platform for Tang Poetry Research Based on Domain-Specific Knowledge Graph
Author(s)
  • Hong, Liang
  • Hou, Wenjun
  • Zhou, Lina
Issue Date
2020
Keyword(s)
  • Tang poetry
  • Chinese culture
  • kowledge graph
Geographic Coverage
China
Abstract
Tang poetry, which still attracts a lot of research interest due to its unique value and wide audience, is one of the highest achievements of Chinese culture. Tang poetry data have the characteristics of multisource heterogeneity and complex association. In this paper, we construct a knowledge service platform, KnowPoetry, based on a domain-specific knowledge graph of Tang poetry to support data-driven research in the field of Tang poetry. We first acquire knowledge service requirements from Tang poetry researchers. Then, we construct domain ontology and propose a human-machine coordinated knowledge extraction framework. The framework extracts and merges entities of poetry, poet and poet experience, and multidimension relations among them from massive Tang poetry data. Finally, we construct a large-scale domain-specific knowledge graph. Based on the knowledge graph, KnowPoetry provides researchers with Tang poetry domain knowledge services including knowledge navigation, association analysis, and semantic query. This platform can support researchers in navigating and discovering the inner relationship between Tang poetry in terms of emotion and imagery, analyzing poet social circle and life experiences, and realizing multidimensional semantic query. In the experiment, we evaluate the effect of domain knowledge service in supporting Tang poetry research.
Publisher
Johns Hopkins University Press and the Illinois School of Information Sciences, University of Illinois at Urbana-Champaign
Series/Report Name or Number
Library Trends 69 (1). Summer 2020
ISSN
0024-2594
Type of Resource
text
Language
en
Permalink
http://hdl.handle.net/2142/109278
DOI
https://doi.org/10.1353/lib.2020.0025
Copyright and License Information
Copyright 2020 Board of Trustees of the University of Illinois

Owning Collections

Library Trends 69 (1) Summer 2020: Digital Humanities and Libraries in China PRIMARY
Library Trends 69 (1) Summer 2020: Digital Humanities and Libraries in China. Edited by Lian Ruan and Xingye Du