Construction of a Type Knowledge Graph Based on the Value Cognitive Turn of Characteristic Villages: An Application in Jixi, Anhui Province, China

Author:

Ren Kai1ORCID,Buyandelger Khaliun1

Affiliation:

1. School of History and Tourism Culture, Inner Mongolia University; No. 235 West College Road, Saihan District, Hohhot 010021, China

Abstract

Currently, Chinese villages are grappling with the issue of regional value collapse within the long-standing ‘urban-rural dual system’ strategy. Characteristic villages, as integral components of the urban–rural hierarchical spatial system and pivotal agents in rural development, wield significant influence in addressing China’s rural crises. The construction practice of characteristic villages showcases the cognitive evolution of ‘element-industry-function-type’. Within the value perception of characteristic villages, these practices reflect fundamental orientations in the interaction between humans and land, emphasizing the symbiotic relationship between production, life, and ecology. In alignment with this value perception, and drawing upon the existing studies on the classification of characteristic village types in Jixi County, this paper establishes a comprehensive type knowledge graph of characteristic villages. The framework of this graph’s expression revolves around ‘spatial elements-spatial combination-spatial organization’. This graph delineates a knowledge progression encompassing ‘information-knowledge-strategy’, characterized by three levels: the factual knowledge graph, conceptual knowledge graph and regular knowledge graph. The type knowledge graph systematically accumulates insights derived from the spatiotemporal transmission path of the village spatial structure. It formulates a structured progression of knowledge as follows: cognition of the village entity information → analysis of the village landscape structure → examination of the village social relationships. This constructed graph translates type-data information into spatial strategy knowledge, serving as a pivotal process in amalgamating characteristic village spatial data with semantic networks, particularly in expressing authenticity inspection and gene transfer.

Funder

Ministry of Education Humanities and Social Sciences Research Youth Fund Project

China National Key R&D Plan

Inner Mongolia University 2023 High Level Talent Research Launch Project

Publisher

MDPI AG

Subject

Nature and Landscape Conservation,Ecology,Global and Planetary Change

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