Proposal of a recommendation method of Open Data Predicates using statistical processing
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- HISANAGA Tadanori
- Graduate School of Science and Engineering, Kagoshima University
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- FUCHIDA Takayasu
- Graduate School of Science and Engineering, Kagoshima University
Bibliographic Information
- Other Title
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- 「統計処理を用いたオープンデータの述語の推薦手法の提案」
- トウケイ ショリ オ モチイタ オープンデータ ノ ジュツゴ ノ スイセン シュホウ ノ テイアン
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Abstract
<p> In recent years, many administrative organizations and local governments are engaged in opening and utilizing open data but until the data utilization has not reached where the government promotes "data can be secondarily used without much manpower being machine-readable". If these open data can be easily converted to RDF format by using common predicates, utilization of open data by linking data is promoted. In this research, we applied an application of automatic generation of predicates using Word2Vec algorithm to convert data disclosed as open data into RDF format. We propose a predicate recommendation method to convert predicates corresponding to item names by using statistical processing called “predicate vector method” which is vectorizing each data item of open data and converting it to RDF format.</p>
Journal
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- Joho Chishiki Gakkaishi
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Joho Chishiki Gakkaishi 28 (2), 127-133, 2018-05-26
Japan Society of Information and Knowledge
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Keywords
Details
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- CRID
- 1390282763014200832
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- NII Article ID
- 130007394672
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- NII Book ID
- AN10459774
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- ISSN
- 18817661
- 09171436
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- NDL BIB ID
- 029092075
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed