{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:43:43Z","timestamp":1740141823341,"version":"3.37.3"},"reference-count":19,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2014,2,1]],"date-time":"2014-02-01T00:00:00Z","timestamp":1391212800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2014,2,1]]},"abstract":"<jats:p> 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 on Wikipedia 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 category-article and article-link relations defined in Wikipedia are employed as terminology indicators, and we use a new measure 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. <\/jats:p>","DOI":"10.1155\/2014\/827319","type":"journal-article","created":{"date-parts":[[2014,2,13]],"date-time":"2014-02-13T21:04:14Z","timestamp":1392325454000},"page":"827319","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Domain Terminology Collection for Semantic Interpretation of Sensor Network Data"],"prefix":"10.1177","volume":"10","author":[{"given":"Myunggwon","family":"Hwang","sequence":"first","affiliation":[{"name":"Department of Computer Intelligence Research, Korea Institute of Science and Technology Information (KISTI), 245 Daehak-ro, Yuseong-gu, Daejeon 305-806, Republic of Korea"}]},{"given":"Jinhyung","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Computer Intelligence Research, Korea Institute of Science and Technology Information (KISTI), 245 Daehak-ro, Yuseong-gu, Daejeon 305-806, Republic of Korea"}]},{"given":"Jangwon","family":"Gim","sequence":"additional","affiliation":[{"name":"Department of Computer Intelligence Research, Korea Institute of Science and Technology Information (KISTI), 245 Daehak-ro, Yuseong-gu, Daejeon 305-806, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6014-3519","authenticated-orcid":false,"given":"Sa-kwang","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Computer Intelligence Research, Korea Institute of Science and Technology Information (KISTI), 245 Daehak-ro, Yuseong-gu, Daejeon 305-806, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8690-0664","authenticated-orcid":false,"given":"Hanmin","family":"Jung","sequence":"additional","affiliation":[{"name":"Department of Computer Intelligence Research, Korea Institute of Science and Technology Information (KISTI), 245 Daehak-ro, Yuseong-gu, Daejeon 305-806, Republic of Korea"}]},{"given":"Do-Heon","family":"Jeong","sequence":"additional","affiliation":[{"name":"Department of Computer Intelligence Research, Korea Institute of Science and Technology Information (KISTI), 245 Daehak-ro, Yuseong-gu, Daejeon 305-806, Republic of Korea"}]}],"member":"179","published-online":{"date-parts":[[2014,2,13]]},"reference":[{"first-page":"77","volume-title":"Proceedings of the 3rd International Workshop on Semantic Sensor Networks","author":"Kebler C.","key":"B1-2014-827319"},{"key":"B2-2014-827319","doi-asserted-by":"publisher","DOI":"10.1145\/565702.565708"},{"first-page":"1","volume-title":"Proceedings of the 5th International Conference on Information Processing in Sensor Networks","author":"Goodwin G.","key":"B3-2014-827319"},{"first-page":"92","volume-title":"Proceedings of the 3rd International Workshop on Semantic Sensor Networks","author":"Janowicz K.","key":"B4-2014-827319"},{"first-page":"1","volume-title":"Proceedings of the ICT Mobile Summit","author":"Barnaghi P.","key":"B5-2014-827319"},{"key":"B6-2014-827319","doi-asserted-by":"publisher","DOI":"10.3390\/s110807568"},{"issue":"5","key":"B7-2014-827319","first-page":"1599","volume":"13","author":"Hwang M.","year":"2010","journal-title":"Information"},{"key":"B8-2014-827319","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.21"},{"first-page":"793","volume-title":"Proceedings of the ACM Symposium on Applied Computing","author":"Avancini H.","key":"B9-2014-827319"},{"first-page":"513","volume-title":"Proceedings of the International Conference on Computational Science","author":"Jung J. 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