TY - GEN
T1 - Minimality and Simplicity of Rules for the Internet-of-Things
AU - Panaretos, Athanasios
AU - Corsar, David
AU - Vasconcelos, Wamberto W.
N1 - This research is partially sponsored by the EPSRC grant EP/P011829/1, funded under the UK Engineering and Physical Sciences Council Human Dimensions of Cyber Security call (2016).
PY - 2019/4
Y1 - 2019/4
N2 - Rule-based systems have been increasing in popularity in recent years. They allow for easier handling of both simple and complicated problems utilising a set of rules created in various ways (e.g., manually, or (semi-) automatically, via, say, machine learning or decision trees) depending on the situation. Despite their usefulness however, there are still improvements to be made. Knowledge representation technologies have been available for a long time and provide the means to represent domains formally and correlate entities in those domains. They also allow for ontological reasoning that can take advantage of such connections between entities. These techniques can be useful when applied on rule-based systems in order to improve the quality of rules and, hence, overall system performance. We describe and implement an approach to refine rules used in Internet-of-Things scenarios using knowledge representation and reasoning. The proposed solution uses ontological reasoning on the preconditions and postconditions of rules as it aims to reduce the total amount of rules in a system and simplify them.
AB - Rule-based systems have been increasing in popularity in recent years. They allow for easier handling of both simple and complicated problems utilising a set of rules created in various ways (e.g., manually, or (semi-) automatically, via, say, machine learning or decision trees) depending on the situation. Despite their usefulness however, there are still improvements to be made. Knowledge representation technologies have been available for a long time and provide the means to represent domains formally and correlate entities in those domains. They also allow for ontological reasoning that can take advantage of such connections between entities. These techniques can be useful when applied on rule-based systems in order to improve the quality of rules and, hence, overall system performance. We describe and implement an approach to refine rules used in Internet-of-Things scenarios using knowledge representation and reasoning. The proposed solution uses ontological reasoning on the preconditions and postconditions of rules as it aims to reduce the total amount of rules in a system and simplify them.
KW - Internet-of-Things
KW - Knowledge representation
KW - Ontological reasoning
KW - Rule-based systems
UR - http://www.scopus.com/inward/record.url?scp=85064945329&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/minimality-simplicity-rules-internetofthings
U2 - 10.1007/978-3-030-17294-7_5
DO - 10.1007/978-3-030-17294-7_5
M3 - Published conference contribution
AN - SCOPUS:85064945329
SN - 9783030172930
T3 - Lecture Notes in Computer Science (LNCS)
SP - 64
EP - 72
BT - Agreement Technologies
A2 - Lujak, Marin
PB - Springer
CY - Cham
T2 - 6th International Conference on Agreement Technologies, AT 2018
Y2 - 6 December 2018 through 7 December 2018
ER -