A fuzzy spatial description logic for the semantic web

J. Ambient Intell. Humaniz. Comput.(2020)

Cited 2|Views40
No score
Abstract
Spatial information is a critical feature in a large number of application domains. Spatial information, however, is often not crisp but with the nature of imprecision and fuzziness. As the increasing requirements of spatial applications, there emerges many challenges regarding to the representation and reasoning of spatial knowledge. Description logic (DL) is a logical basis for representing knowledge and realizing reasoning tasks in the Semantic Web. Therefore, how to extend DL to achieve the goal of representing and reasoning fuzzy spatial knowledge needs to be settled. In this work, we study a fuzzy spatial extension of the well known fuzzy 𝒜ℒ𝒞 DL to reason fuzzy spatial knowledge. First, we construct a fuzzy spatial concrete domain 𝒮 which is comprised of fuzzy spatial regions and fuzzy RCC relationships. More importantly, we give the admissibility proof of fuzzy spatial concrete domain 𝒮 . Then we extend fuzzy 𝒜ℒ𝒞 with an admissible fuzzy spatial concrete domain 𝒮 and present a fuzzy spatial description logic f - 𝒜ℒ𝒞(𝒮) . Finally, we address a decision procedure for f - 𝒜ℒ𝒞(𝒮) ABox consistency problem. Also, we show that the decision procedure is correct and the consistency problem for f - 𝒜ℒ𝒞(𝒮) is decidable in PSPACE- complete .
More
Translated text
Key words
Decision procedure,Semantic Web,Description logics,Fuzzy spatial reasoning
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined