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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Bibliographic Details
Published inU- and E-Service, Science and Technology pp. 287 - 293
Main Authors Jeong, Do-Heon, Hwang, Myung-Gwon, Sung, Won-Kyung
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesCommunications in Computer and Information Science
Subjects
Acronym-Expansion
Instance mapping
Knowledge map
Technology opportunity discovery(TOD)
URI resolution
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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.
ISBN:9783642272097
3642272096
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-642-27210-3_38