Presentation | 2019-02-22 Active Inference of Variable Labels Using Annotation to Some Variable Labels in Data Jackets Hiroo Iwanaga, Teruaki Hayashi, Yukio Ohsawa, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Data Jacket (DJ) is a framework for sharing summaries of the data and encouraging collaboration and utilization of data in the market, with the data itself hidden. Variable labels (VLs) are described in DJs as the name or meaning of variables in the data. While VLs are the key information for planning data utilization or data collection, DJs have missing VLs because the registration rule of DJs does not force data holders to enter all the information about variables in the data. To infer likely VLs in DJs which are not explicitly in the outline of data, matrix-based method (MBM) are proposed. However, MBM is difficult for DJ users to reflect their prior knowledge or requirement about variables of the data (e.g. “some VLs should be included in the DJ”). In this paper, we propose a method for inferring VLs using ODs and annotation to some VLs, extending MBM to be applicable for active learning situations. Our method enables DJ users to update the inference results as needed by adding the annotation to VLs. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Data Jacket / Variable Label / active learning / partial annotation |
Paper # | AI2018-44 |
Date of Issue | 2019-02-15 (AI) |
Conference Information | |
Committee | AI |
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Conference Date | 2019/2/22(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Tsunenori Mine(Kyushu Univ.) |
Vice Chair | Daisuke Katagami(Tokyo Polytechnic Univ.) / Naoki Fukuta(Shizuoka Univ.) |
Secretary | Daisuke Katagami(Ritsumeikan Univ.) / Naoki Fukuta(Univ. of Electro-Comm.) |
Assistant | Yuko Sakurai(AIST) |
Paper Information | |
Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Active Inference of Variable Labels Using Annotation to Some Variable Labels in Data Jackets |
Sub Title (in English) | |
Keyword(1) | Data Jacket |
Keyword(2) | Variable Label |
Keyword(3) | active learning |
Keyword(4) | partial annotation |
1st Author's Name | Hiroo Iwanaga |
1st Author's Affiliation | The University of Tokyo/NTT DATA Mathematical Systems Inc.(UTokyo/NTT DATA MSI) |
2nd Author's Name | Teruaki Hayashi |
2nd Author's Affiliation | The University of Tokyo(UTokyo) |
3rd Author's Name | Yukio Ohsawa |
3rd Author's Affiliation | The University of Tokyo(UTokyo) |
Date | 2019-02-22 |
Paper # | AI2018-44 |
Volume (vol) | vol.118 |
Number (no) | AI-453 |
Page | pp.pp.39-44(AI), |
#Pages | 6 |
Date of Issue | 2019-02-15 (AI) |