Generating Knowledge Map for Acronym-Expansion Recognition
In this paper, we present a method for instance mapping and URI resolving to merge two heterogeneous resources and construct a new semantic network in a viewpoint of Acronym-Expansion. Acronym-Expansion information extracted from two unstructured large dataset can be remapped by using linkage inform...
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Published in | U- and E-Service, Science and Technology pp. 287 - 293 |
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Main Authors | , , |
Format | Book Chapter |
Language | English |
Published |
Berlin, Heidelberg
Springer Berlin Heidelberg
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Series | Communications in Computer and Information Science |
Subjects | |
Online Access | Get full text |
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Summary: | In this paper, we present a method for instance mapping and URI resolving to merge two heterogeneous resources and construct a new semantic network in a viewpoint of Acronym-Expansion. Acronym-Expansion information extracted from two unstructured large dataset can be remapped by using linkage information between instances and measuring string similarity. All the semantic resources and systems are utilized for constructing infrastructures of KISTI’s TOD, a new information analytics project based on semantic technologies. |
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ISBN: | 9783642272097 3642272096 |
ISSN: | 1865-0929 1865-0937 |
DOI: | 10.1007/978-3-642-27210-3_38 |