Research on retrieval of multi- attribute instance knowledge based on ontology

Author

Yingfang, Cai ; Wanghua, Qiu

Author_Institution

Sch. of Econ. & Manage., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China

fYear

2012

fDate

14-15 Aug. 2012

Firstpage

13

Lastpage

17

Abstract

The purpose of this paper is to improve retrieval efficiency to muli-attribute instance knowledge. The paper expressed multi-attribute instance knowledge as a model with multi-attribute and tree structure, which synthetically apply similarity calculation method of value type attribute and of imprecise value type attribute and of word type attribute, which optimized step of calculation and order of calculation, and improved retrieval efficiency.

Keywords

information retrieval; ontologies (artificial intelligence); imprecise value type attribute; knowledge reuse; multiattribute instance knowledge retrieval; multiattribute structure; ontology; similarity calculation method; tree structure; word type attribute; Algorithm design and analysis; Computational linguistics; Educational institutions; Knowledge based systems; Ontologies; Product design; Semantics; Knowledge Reuse; knowledge Retrieval; knowledge engine;

fLanguage

English

Publisher

ieee

Conference_Titel

Uncertainty Reasoning and Knowledge Engineering (URKE), 2012 2nd International Conference on

Conference_Location

Jalarta

Print_ISBN

978-1-4673-1459-6

Type

conf

DOI

10.1109/URKE.2012.6319527

Filename

6319527