Research on an Agricultural Knowledge Fusion Method for Big Data
The object of our research is to develop an ontology-based agricultural knowledge fusion method that can be used as a comprehensive basis on which to solve agricultural information inconsistencies, analyze data, and discover new knowledge. A recent survey has provided a detailed comparison of variou...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Ubiquity Press
2015-05-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | http://datascience.codata.org/articles/559 |
| _version_ | 1818062706222039040 |
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| author | Nengfu Xie Wensheng Wang Bingxian Ma Xuefu Zhang Wei Sun Fenglei Guo |
| author_facet | Nengfu Xie Wensheng Wang Bingxian Ma Xuefu Zhang Wei Sun Fenglei Guo |
| author_sort | Nengfu Xie |
| collection | DOAJ |
| description | The object of our research is to develop an ontology-based agricultural knowledge fusion method that can be used as a comprehensive basis on which to solve agricultural information inconsistencies, analyze data, and discover new knowledge. A recent survey has provided a detailed comparison of various fusion methods used with Deep Web data (Li, 2013). In this paper, we propose an effective agricultural ontology-based knowledge fusion method by leveraging recent advances in data fusion, such as the semantic web and big data technologies, that will enhance the identification and fusion of new and existing data sets to make big data analytics more possible. We provide a detailed fusion method that includes agricultural ontology building, fusion rule construction, an evaluation module, etc. Empirical results show that this knowledge fusion method is useful for knowledge discovery. |
| first_indexed | 2024-12-10T14:08:28Z |
| format | Article |
| id | doaj.art-3de40427881f436dbd58c1004b14f6fa |
| institution | Directory Open Access Journal |
| issn | 1683-1470 |
| language | English |
| last_indexed | 2024-12-10T14:08:28Z |
| publishDate | 2015-05-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Data Science Journal |
| spelling | doaj.art-3de40427881f436dbd58c1004b14f6fa2022-12-22T01:45:34ZengUbiquity PressData Science Journal1683-14702015-05-011410.5334/dsj-2015-007573Research on an Agricultural Knowledge Fusion Method for Big DataNengfu Xie0Wensheng Wang1Bingxian Ma2Xuefu Zhang3Wei Sun4Fenglei Guo5Key Laboratory of Digital Agricultural Early-Warning Technology, Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081Key Laboratory of Digital Agricultural Early-Warning Technology, Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081School of Information Science and Engineering, University of Jinan, Jinan 250022Key Laboratory of Digital Agricultural Early-Warning Technology, Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081Key Laboratory of Digital Agricultural Early-Warning Technology, Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081Key Laboratory of Digital Agricultural Early-Warning Technology, Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081The object of our research is to develop an ontology-based agricultural knowledge fusion method that can be used as a comprehensive basis on which to solve agricultural information inconsistencies, analyze data, and discover new knowledge. A recent survey has provided a detailed comparison of various fusion methods used with Deep Web data (Li, 2013). In this paper, we propose an effective agricultural ontology-based knowledge fusion method by leveraging recent advances in data fusion, such as the semantic web and big data technologies, that will enhance the identification and fusion of new and existing data sets to make big data analytics more possible. We provide a detailed fusion method that includes agricultural ontology building, fusion rule construction, an evaluation module, etc. Empirical results show that this knowledge fusion method is useful for knowledge discovery.http://datascience.codata.org/articles/559OntologyBig dataAgricultureKnowledge fusionInformation integrationInconsistency |
| spellingShingle | Nengfu Xie Wensheng Wang Bingxian Ma Xuefu Zhang Wei Sun Fenglei Guo Research on an Agricultural Knowledge Fusion Method for Big Data Data Science Journal Ontology Big data Agriculture Knowledge fusion Information integration Inconsistency |
| title | Research on an Agricultural Knowledge Fusion Method for Big Data |
| title_full | Research on an Agricultural Knowledge Fusion Method for Big Data |
| title_fullStr | Research on an Agricultural Knowledge Fusion Method for Big Data |
| title_full_unstemmed | Research on an Agricultural Knowledge Fusion Method for Big Data |
| title_short | Research on an Agricultural Knowledge Fusion Method for Big Data |
| title_sort | research on an agricultural knowledge fusion method for big data |
| topic | Ontology Big data Agriculture Knowledge fusion Information integration Inconsistency |
| url | http://datascience.codata.org/articles/559 |
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