Danilo Pianini, Sascia Virruso, Ronaldo Menezes, Andrea Omicini, Mirko Viroli

In today's data-intensive world, the need for data organization has increased dramatically. Distributed systems are dealing with unheard amounts of data arising primarily from the popularization of pervasive computing applications and the so-called "data-in-the-cloud" paradigm. Naturally, agent- coordination systems are affected by this data-increase phenomenon as they are often used as the basis for pervasive-computing frameworks and cloud-computing systems. There have been a few works on coordination system to include data self-organization (e.g. SwarmLinda) however they generally organize their data based on naive approaches where items are either completely similar or dissimilar (1|0 approach for matching of data). Although this approach is useful, in general-purpose systems where the diversity of data items is large, data items will rarely be considered as plainly similar, leading to a situation where data does not self-organize well. In this paper we move towards a general-purpose approach to organization based on an ontology-defined concept relationship in WordNet. In our approach, data items are seen as concepts that have relation to other concepts: tuples are driven towards one-another at rates that are proportional to the strength of tuple relationship. We demonstrate that this approach leads to a good mechanism to self-organize data in data-intensive environments.

4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2010), pages 114-123, 27 September - 1 October 2010.
Indranil Gupta, Salima Hassas, Rolia Jerome (eds.), IEEE CS, Budapest, Hungary
@inproceedings{selforgwordnet-saso2010,
Address = {Budapest, Hungary},
Author = {Pianini, Danilo and Virruso, Sascia and Menezes, Ronaldo and Omicini, Andrea and Viroli, Mirko},
Booktitle = {4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2010)},
Doi = {10.1109/SASO.2010.35},
Editor = {Gupta, Indranil and Hassas, Salima and Jerome, Rolia},
IeeeNo = {5630506},
Isbn = {978-1-4244-8537-6},
Isbn-Online = {978-0-7695-4232-4},
Month = {27~} # sep # {--1~} # oct,
Pages = {114--123},
Publisher = {IEEE CS},
ScopusId = {2-s2.0-79952067343},
Title = {Self Organization in Coordination Systems using a {WordNet}-based Ontology},
Url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5630506},
Year = 2010}

    

Publication

— authors

Danilo Pianini, Sascia Virruso, Ronaldo Menezes, Andrea Omicini, Mirko Viroli

— editors

Indranil Gupta, Salima Hassas, Rolia Jerome

— status

published

— sort

paper in proceedings

Venue

— volume

4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2010)

— publication date

27 September - 1 October 2010

— pages

114-123

URLs & IDs

original page
original PDF

— DOI

10.1109/SASO.2010.35

— IEEE

5630506

— IRIS

11585/93506

— Scopus

2-s2.0-79952067343

— print ISBN

978-1-4244-8537-6

— online ISBN

978-0-7695-4232-4

BibTeX

— BibTeX ID
selforgwordnet-saso2010
— BibTeX category
inproceedings

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