Multidimensional ontology modeling of human digital ecosystems affected by social behavioural data patterns
dc.contributor.author | Nimmagadda, Shastri | |
dc.contributor.author | Nimmagadda, Sashi | |
dc.contributor.author | Dreher, Heinz | |
dc.contributor.editor | Farookh Khadeer Hussain | |
dc.contributor.editor | Elizabeth Chang | |
dc.date.accessioned | 2017-01-30T10:52:27Z | |
dc.date.available | 2017-01-30T10:52:27Z | |
dc.date.created | 2010-05-31T20:02:43Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Nimmagadda, Shastri and Nimmagadda, Sashi and Dreher, Heinz. 2010. Multidimensional ontology modeling of human digital ecosystems affected by social behavioural data patterns, in Hussain, F. K. and Chang, E. (ed), 4th IEEE international conference on digital ecosystems and technologies, Apr 12 2010, pp. 498-503. Dubai, United Arab Emirates: IEEE. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/6348 | |
dc.description.abstract |
Relational and hierarchical data modeling studies are carried out, using simple and explicit comparison based ontology. The comparison is basically performed on relationally and hierarchically structured data entities/dimensions.This methodology is adopted to understand the human ecosystem that is affected by human behavioural and social disorder data patterns. For example, the comparison may be made among human systems, which could be between male and female, fat and slim, disabled and normal (physical impairment), again normal and abnormal (psychological), smokers and non-smokers and among different age group domains.There could be different hierarchies among which, different super-type dimensions are conceptualized into several subtype dimensions and integrated them by connecting the interrelated several common data attributes. Domain ontologies are built based on the known-knowledge mining and thus unknownrelationships are modeled that are affected by social behaviour data patterns. This study is useful in understanding human situations, behavioral patterns and social ecology that can facilitate health and medical practitioners, social workers and psychologists, while treating their patients and clients. | |
dc.publisher | IEEE | |
dc.subject | social behavioural patterns | |
dc.subject | Ontology | |
dc.subject | health and medicine | |
dc.subject | digital ecosystems | |
dc.title | Multidimensional ontology modeling of human digital ecosystems affected by social behavioural data patterns | |
dc.type | Conference Paper | |
dcterms.source.startPage | 498 | |
dcterms.source.endPage | 503 | |
dcterms.source.title | Proceedings of the 4th IEEE international conference on digital ecosystems and technologies | |
dcterms.source.series | Proceedings of the 4th IEEE international conference on digital ecosystems and technologies | |
dcterms.source.isbn | 9781424455539 | |
dcterms.source.conference | 4th IEEE international conference on digital ecosystems and technologies | |
dcterms.source.conference-start-date | Apr 12 2010 | |
dcterms.source.conferencelocation | Dubai, United Arab Emirates | |
dcterms.source.place | United Arab Emirates | |
curtin.note |
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curtin.accessStatus | Open access | |
curtin.faculty | Curtin Business School | |
curtin.faculty | School of Information Systems |