What question did this study set out to answer?

The aim is to review various methods used for extracting textual information to aid in knowledge graph construction.

June 4, 2026

A survey of textual information extraction methods for knowledge graph construction

Key Points

The aim is to review various methods used for extracting textual information to aid in knowledge graph construction.
Surveyed diverse textual information extraction techniques.
Analyzed their effectiveness in knowledge graph construction.
Focused on approaches relevant to natural language processing and data integration.
Identified key methods and technologies applicable to knowledge graphs.
Highlighted advantages and limitations of different extraction techniques.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Authors

Rui Chen

Shandong Provincial Hospital

Hang Li

Guangzhou University of Chinese Medicine

Journals

International Journal of Intelligent Systems Design and Computing

Actions

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

A survey of textual information extraction methods for knowledge graph construction

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Authors

Journals

Actions

References and Citations

Citation Network

Connected Papers

Discussion

Cite this study