NDLI: Measuring Semantic Gap: An Information Quantity Perspective

Content Provider	IEEE Xplore Digital Library
Author	Qinsheng Zhuang Junkang Feng Hong Bao
Copyright Year	2007
Description	Author affiliation: Beijing Union Univ., Beijing (Qinsheng Zhuang)
Abstract	There is much interest in semantic gap shown in the literature, and yet little seems to have been done on measuring it with a scientific means. A conceptual data schema specifies the structure of the 'data base' for a computer based information system and provides abstraction of some part of the real world. Data constructs, which we call 'data level connections' ('data connections' for short), in a data schema are used to refer to objects and the relationships between them in the real world, which we term 'real world relations'. That is, the latter is taken as the semantics of the former. This 'referencing and referenced' relationship may not be perfect, which may be seen as a kind of semantic gap. We suggest looking at information systems with an information theoretic framework, i.e., information creation, and transmission through representation. We define a semantic gap in an information system as the inefficacy in information transmission through representation, especially when an information bearer (carrier) is unable to carry the information that it is supposed to. We investigate how such a situation could happen, and identify the condition regarding information quantity for a semantic gap to be zero between a 'data connection' and a 'real world relation'. Based upon this, we give a measure for semantic gaps. These constitute an information quantity perspective for looking at including measuring a semantic gap.
Starting Page	669
Ending Page	674
File Size	303459
Page Count	6
File Format	PDF
ISBN	9781424408504
ISSN	19354576
DOI	10.1109/INDIN.2007.4384853
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-23
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary Object oriented modeling Buffer storage Ontologies Database systems Transaction databases Hypertext systems Object oriented programming Information systems Testing
Content Type	Text
Resource Type	Article

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