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TEXT2LOD ~ テキスト情報のLOD化に向けたWeb APIの開発 ~
https://uec.repo.nii.ac.jp/records/9100
https://uec.repo.nii.ac.jp/records/9100b84d3251-2834-4086-994c-7af09140891b
名前 / ファイル | ライセンス | アクション |
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2019-04-09 | |||||
タイトル | ||||||
言語 | ja | |||||
タイトル | TEXT2LOD ~ テキスト情報のLOD化に向けたWeb APIの開発 ~ | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | TEXT2LOD -- Development of Web API for Triplification of Text Information -- | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | information extraction | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | triplification | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | linked open data | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | LOD | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
川村, 隆浩
× 川村, 隆浩× 大須賀, 昭彦× Kawamura, Takahiro× Ohsuga, Akihiko |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Linked Open Data (LOD) is recently attracting attention as a vast amount of distributed knowledge base on the Web.Thus, semi-structured data such as tables and hierarchical data in several domains have been triplified to the LOD.In the research area, however, triplification of unstructured data such as text and sensor data is actively studied as the next target.Therefore, we developed a Web API for mainly extracting triples from text data, which is useful for the triplification of text data.We defined two steps for the text triplication.The first step is the extraction of phrases, which correspond to triple <subject, verb, object>, location and time from a natural language sentence, and the second one is a conversion of the extracted phrases to the existing (or new) resources and properties in the LOD. In this paper, we first describe the service specification corresponding to the first step, technical background, and evaluation of the current extraction accuracy, then finally introduce some use cases of the service. Although this service adopts a novel combination of a restrictive method using ontology-based rules and an example-based machine learning method using conditional random field, based on probability distribution, the main cotribution of the service is in practical aspect, that is, mash-up of several natural language processing techniques as a text triplification service, and deployment as a Web API freely available for public use so that non-expert easily use it. | |||||
書誌情報 |
ja : 人工知能学会論文誌 en : Transactions of the Japanese Society for Artificial Intelligence 巻 31, 号 1, p. 1-8., 発行日 2016-01 |
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出版者 | ||||||
出版者 | 人工知能学会 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1346-0714 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1527/tjsai.LOD-21 | |||||
権利 | ||||||
権利情報 | Copyright © 人工知能学会 2016 | |||||
関連サイト | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1527/tjsai.LOD-21 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |