Tiny-UKSIE
نویسندگان
چکیده
The application of semantic web technologies such as inference to the field internet things (IoT) can realize data information enhancement and knowledge discovery, which plays a key role in enhancing value intelligence. However, mainstream engines cannot be applied IoT computing devices with limited storage resources weak power reason about uncertain knowledge. To solve this problem, authors propose lightweight engine, Tiny-UKSIE, based on RETE algorithm. genetic algorithm (GA) is adopted optimize Alpha network sequence, time reduced by 8.73% before after optimization. Moreover, four-tuple representation method probability factors proposed, probabilistic rules are constructed enable engine infer Compared engines, resource usage up 97.37%, 24.55%.
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ژورنال
عنوان ژورنال: International Journal on Semantic Web and Information Systems
سال: 2022
ISSN: ['1552-6291', '1552-6283']
DOI: https://doi.org/10.4018/ijswis.300826