Reasoning on data streams: An approach to adaptation in pervasive systems

Nicola Bicocchi, Emil Vassev, Franco Zambonelli, Mike Hinchey

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Urban environments are increasingly invaded by devices that acquire sensor information and pave the way for innovative forms of context awareness. Collecting knowledge from loosely-structured data streams and reasoning about changes are two key elements of the process. This paper illustrates a possible way to combine these two elements in a coordinated way. We make use of a recently-developed framework for classifying data streams with service-oriented, reconfigurable components. Furthermore, we embed the KnowLang Reasoner, allowing logical and statistical reasoning on the acquired knowledge aiming to achieve self-adaptation.

Original languageEnglish
Title of host publicationNature of Computation and Communication - International Conference, ICTCC 2014, Revised Selected Papers
EditorsPhan Cong Vinh, Emil Vassev, Mike Hinchey
PublisherSpringer Verlag
Pages23-32
Number of pages10
ISBN (Electronic)9783319153919
DOIs
Publication statusPublished - 2015
EventInternational Conference on Nature of Computation and Communication, ICTCC 2014 - Ho Chi Minh City, Viet Nam
Duration: 24 Nov 201425 Nov 2014

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume144
ISSN (Print)1867-8211

Conference

ConferenceInternational Conference on Nature of Computation and Communication, ICTCC 2014
Country/TerritoryViet Nam
CityHo Chi Minh City
Period24/11/1425/11/14

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