Heterogeneous Information Knowledge Construction Based on Ontology
Abstract: Describing and
representing multi-source and heterogeneous knowledge is a popular research
topic in recent years. After investigating knowledge forming process based on
multi-source heterogeneous information resources, we present a new approach in
which different information resources are put into a mutual RDF(S) data model,
and semantic reasoning of RDF(S) is conducted. Moreover, a knowledge base
construction framework for multi-source heterogeneous information source with
combination of Ontology knowledge model is put forward, and an algorithm of
knowledge base construction is also proposed, in which the core issues are
knowledge inclusion and updating. Then the time complexity of our algorithm is
analyzed. Finally, in order to solve the heterogeneous, and uneven horizontal
of geographical distribution of ethnic minority information resources in Yunnan
Province, we use the proposed method to construct a domain knowledge base for
ethnic minority information resources, and use this model to evaluate the
efficiency for the knowledge inclusion algorithm in responding time and indexing
responding time for different data resources in our experiments.
Author: Jianhou Gan, Gang Xie,
Yongzheng Yan, Wanquan Liu
Journal Code: jptkomputergg160018
