Title :
Building a commonsense knowledge base for context-awareness inference
Author :
Li Zhang ; Shijian Li ; Gang Pan
Author_Institution :
Dept. of Comput. Sci., Zhejiang Univ., Hangzhou, China
Abstract :
Current context-aware systems often model rigid inference rules for limited user contexts, which constrain their effectiveness in real world usage. In order to achieve flexible context-aware inference, a commonsense knowledge base is essential. But such knowledge base is hard to construct manually. This paper proposes some automatic algorithms to extract commonsense directly from text corpuses. We evaluate the extraction algorithms with comparison with human annotators. We also evaluate the effectiveness of the knowledge base in practical context-awareness inference.
Keywords :
inference mechanisms; knowledge based systems; ubiquitous computing; commonsense knowledge base; context-aware systems; context-awareness inference; inference rules; Computational modeling; Context; Context modeling; Inference algorithms; Knowledge based systems; Semantics; Syntactics; Commonsense Knowledge; Context-awareness; Knowledge Extraction; Knowledge Modeling;
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-4707-5
DOI :
10.1109/ICCA.2013.6565173