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공공누리This item is licensed Korea Open Government License

Title
Domain Terminology Collection for Semantic Interpretation of Sensor Network Data
Author(s)
황명권정도헌김장원송사광정한민
Publication Year
2014-01-01
Abstract
Many studies have investigated the management of data delivered over sensor networks and attempted to standardize their relations. Sensor data come from numerous tangible and intangible sources, and existing work has focused on the integration and management of the sensor data itself. The data should be interpreted according to the sensor environment and related objects, even though the data type, and even the value, is exactly the same.This means that the sensor data should have semantic connections with all objects, and so a knowledge base that covers all domains should be constructed. In this paper, we suggest a method of domain terminology collection based onWikipedia category information in order to prepare seed data for such knowledge bases.However, Wikipedia has two weaknesses, namely, loops and unreasonable generalizations in the category structure. To overcome these weaknesses, we utilize a horizontal bootstrapping method for category searches and domain-term collection. Both the categoryarticle andarticle-linkrelations defined inWikipedia are employedas terminology indicators, and we use a newmeasure to calculate the similarity between categories. By evaluating various aspects of the proposed approach, we show that it outperforms the baseline method, having wider coverage and higher precision. The collected domain terminologies can assist the construction of domain knowledge bases for the semantic interpretation of sensor data.
Keyword
Domain Terminology; Semantic Interpretation; Wikipedia
Journal Title
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
ISSN
1550-1329
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14365
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART79998921
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