Constructing Context-centric Data Object to Enhance Logical Associations for IoT Entities
2015 (English)In: International Conference on Ambient Systems, Networks and Technologies, Elsevier , 2015Conference paper (Refereed)
Entities in Internet of Things (IoT) need intelligent associations to allow a flexible and dynamic system reaction towards varying user situations. Purely data-oriented association methods (e.g., data-mining, machine-learning, etc.) are limited in deduction from existing associations. Also such data-oriented methods are limited in accuracy for working with small-scale datasets (e.g., working with patterns retrieved from historical data), outputting associations based on statistics rather than logic. Moreover, existing semantic technologies (ontological-oriented or rule-oriented) are facing with either flexibility or dynamicity challenges to discover and maintain the associations. This paper proposes an alternative technique of semantically constructing context-centric data objects based on service logics for logical associations, which enables an event net based on association nets adapting for the changing situations (called context-centric). A proof-of-concept implementation is carried out based on a vehicle planning scenario to validate the data construction technique. Comparing to previous work, this technique possesses advantages of flexibility and dynamicity for entity associations based on service logics.
Place, publisher, year, edition, pages
Elsevier , 2015.
IoT Entity Associations; Service Logics; Ontology; Data Object Construction, Event Net
Research subject Information Society
IdentifiersURN: urn:nbn:se:su:diva-122799OAI: oai:DiVA.org:su-122799DiVA: diva2:868649