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Creator |
2482a533b100c51b082644502f2b86e0 |
23035 |
Creator |
2c99057c5a6fbdfdf23181c7ca14cb24 |
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Creator |
3ee088845deaf10ef998784eddebd577 |
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Date |
2008 |
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Is Part Of |
repository |
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abstract |
Context-adaptive information systems (IS) are highly desired across several application
domains and usually rely on matching a particular real-world situation to a finite
set of predefined situation parameters. To represent context parameters, semantic
and non-semantic representation standards are widely used. However, describing the
complex and diverse notion of specific situations is costly and may never reach semantic
completeness. Whereas not any situation parameter completely equals another, the number
of (predefined) representations of situation parameters is finite. Moreover, following
symbolic representation approaches leads to ambiguity issues and does not entail semantic
meaningfulness. Consequently, the challenge is to enable fuzzy matchmaking methodologies
to match real-world situation characteristics to a finite set of predefined situation
descriptions. In this paper, we propose conceptual situation spaces (CSS) which enable
the description of situation characteristics as members in geometrical vector spaces
following the idea of conceptual spaces. Consequently, fuzzy matchmaking is supported
by calculating the semantic similarity between the current situation and prototypical
situation descriptions in terms of their Euclidean distance within a CSS. Aligning
CSS to existing symbolic representation standards, enables the automatic matchmaking
between real-world situation characteristics and symbolic parameter representations.
To prove the feasibility, we apply our approach to the domain of e-learning. |
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authorList |
authors |
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presentedAt |
ext-be4a95fae1034baf17c7499a45debd68 |
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status |
peerReviewed |
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uri |
http://data.open.ac.uk/oro/document/10887 |
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uri |
http://data.open.ac.uk/oro/document/15029 |
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uri |
http://data.open.ac.uk/oro/document/19869 |
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uri |
http://data.open.ac.uk/oro/document/5816 |
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type |
AcademicArticle |
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type |
Article |
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label |
Dietze, Stefan ; Gugliotta, Alessio and Domingue, John (2008). Fuzzy context
adaptation through conceptual situation spaces. In: 2008 IEEE International Conference
on Fuzzy Systems (FUZZ-IEEE 2008) within 2008 IEEE World Congress on Computational
Intelligence (IEEE WCCI2008), 1-6 Jun 2008, Hong Kong. |
23035 |
label |
Dietze, Stefan ; Gugliotta, Alessio and Domingue, John (2008). Fuzzy context adaptation
through conceptual situation spaces. In: 2008 IEEE International Conference on Fuzzy
Systems (FUZZ-IEEE 2008) within 2008 IEEE World Congress on Computational Intelligence
(IEEE WCCI2008), 1-6 Jun 2008, Hong Kong. |
23035 |
Title |
Fuzzy context adaptation through conceptual situation spaces |
23035 |
in dataset |
oro |