A Comparison and Validation of 13 Context Meta-Models
C. Bauer. 20th European Conference on Information Systems (ECIS 2012), page 17. AIS, (June 2012)
Abstract
‘Context’ is a significant element in the field of context-aware and pervasive computing. Thereby, a context meta-model defines context on an abstract level. Simultaneously, a context meta-model builds the basis for specific context models that support system designers in their decisions which context variables to integrate in a particular intelligent context-adaptive system. This paper compares 13 meta-models with respect to their scope. Taking an empirical approach, we matched the meta-models against context variables used in research practice. On the one hand, the meta-models find themselves well reflected by research practice, in a sense that the models’ context categories can be described by context variables reported in research. On the other hand, the results clearly indicate that each of the 13 context meta-models fails to describe the full landscape of context. Many context variables used in reported research are not covered by any of the analysed context meta-models. Accordingly, this paper calls on the research community to advance its basic theories continuously because the research field needs theories that reflect reality.
%0 Conference Paper
%1 ecis2012_context
%A Bauer, Christine
%B 20th European Conference on Information Systems (ECIS 2012)
%D 2012
%I AIS
%K context imported models myown
%P 17
%T A Comparison and Validation of 13 Context Meta-Models
%U http://aisel.aisnet.org/ecis2012/17
%X ‘Context’ is a significant element in the field of context-aware and pervasive computing. Thereby, a context meta-model defines context on an abstract level. Simultaneously, a context meta-model builds the basis for specific context models that support system designers in their decisions which context variables to integrate in a particular intelligent context-adaptive system. This paper compares 13 meta-models with respect to their scope. Taking an empirical approach, we matched the meta-models against context variables used in research practice. On the one hand, the meta-models find themselves well reflected by research practice, in a sense that the models’ context categories can be described by context variables reported in research. On the other hand, the results clearly indicate that each of the 13 context meta-models fails to describe the full landscape of context. Many context variables used in reported research are not covered by any of the analysed context meta-models. Accordingly, this paper calls on the research community to advance its basic theories continuously because the research field needs theories that reflect reality.
@inproceedings{ecis2012_context,
abstract = {‘Context’ is a significant element in the field of context-aware and pervasive computing. Thereby, a context meta-model defines context on an abstract level. Simultaneously, a context meta-model builds the basis for specific context models that support system designers in their decisions which context variables to integrate in a particular intelligent context-adaptive system. This paper compares 13 meta-models with respect to their scope. Taking an empirical approach, we matched the meta-models against context variables used in research practice. On the one hand, the meta-models find themselves well reflected by research practice, in a sense that the models’ context categories can be described by context variables reported in research. On the other hand, the results clearly indicate that each of the 13 context meta-models fails to describe the full landscape of context. Many context variables used in reported research are not covered by any of the analysed context meta-models. Accordingly, this paper calls on the research community to advance its basic theories continuously because the research field needs theories that reflect reality.},
added-at = {2019-04-27T18:22:14.000+0200},
author = {Bauer, Christine},
biburl = {https://www.bibsonomy.org/bibtex/20ecaf1f2f2ffc5bf61947d89f783ee84/bauerc},
booktitle = {20th European Conference on Information Systems (ECIS 2012)},
eventdate = {10-13 June 2012},
interhash = {0186f135cd8dc5708de251cae493f7ec},
intrahash = {0ecaf1f2f2ffc5bf61947d89f783ee84},
keywords = {context imported models myown},
language = {English},
month = {June},
pages = 17,
publisher = {AIS},
series = {ECIS 2012},
timestamp = {2020-06-14T00:39:15.000+0200},
title = {A Comparison and Validation of 13 Context Meta-Models},
type = {Conference Proceedings},
url = {http://aisel.aisnet.org/ecis2012/17},
venue = {Barcelona, Spain},
year = 2012
}