Scale Reasoning with Fuzzy-EL+ Ontologies based on MapReduce

Authors

Zhangquan Zhou
Guilin Qi
Chang Lui
Pascal HitzlerFollow
Raghava Mutharaju

Document Type

Conference Proceeding

Publication Date

8-2013

Abstract

Fuzzy extension of Description Logics (DLs) allows the formal representation and handling of fuzzy or vague knowledge. In this paper, we consider the problem of reasoning with fuzzy-EL+, which is a fuzzy extension of EL+. We first identify the challenges and present revised completion classification rules for fuzzy-EL+ that can be handled by MapReduce programs. We then propose an algorithm for scale reasoning with fuzzy-EL+ ontologies using MapReduce. Some preliminary experimental results are provided to show the scalability of our algorithm.

Comments

Presented at the Workshop on Weighted Logics for AI, Beijing, China, August 3-5, 2013.

Repository Citation

Zhou, Z., Qi, G., Lui, C., Hitzler, P., & Mutharaju, R. (2013). Scale Reasoning with Fuzzy-EL+ Ontologies based on MapReduce. .
https://corescholar.libraries.wright.edu/cse/215