Please use this identifier to cite or link to this item:
|Title:||Incremental query answering over dynamic contextual information|
Incremental query answering
|Source:||Oliya, M., Zhu, J., Pung, H.K., Veillard, A. (2011). Incremental query answering over dynamic contextual information. Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI : 452-455. ScholarBank@NUS Repository. https://doi.org/10.1109/ICTAI.2011.74|
|Abstract:||Context awareness is one of the key requirements for realizing the vision of ubiquitous computing. Formal representation of context information is gaining an ever increasing number of advocates. Using the Web Ontology Language (OWL) is one of the well-established practices in this regard. Nevertheless, traditional OWL reasoning and thus query answering methods are not optimized for fast changes in context data. In this paper, we present an incremental query answering method for OWL based contextual information. Our approach consists of translating the ontology schema as well as queries into rules. These rules are then used to build the Rete network which incrementally maintains the query results as changes occur in the context data. We further employ a heuristic to adaptively prune the rules which do not affect the query results. Our incremental query answering approach requires no change in existing implementations and the empirical results suggest its practicality. © 2011 IEEE.|
|Source Title:||Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 11, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.