{"title":"Metalexicography as Knowledge Graph","authors":"David Lindemann, Christian Klaes, P. Zumstein","doi":"10.4230/OASIcs.LDK.2019.19","DOIUrl":null,"url":null,"abstract":"This short paper presents preliminary considerations regarding LexBib, a corpus, bibliography, and domain ontology of Lexicography and Dictionary Research, which is currently being developed at University of Hildesheim. The LexBib project is intended to provide a bibliographic metadata collection made available through an online reference platform. The corresponding full texts are processed with text mining methods for the generation of additional metadata, such as term candidates, topic models, and citations. All LexBib content is represented and also publicly accessible as RDF Linked Open Data. We discuss a data model that includes metadata for publication details and for the text mining results, and that considers relevant standards for an integration into the LOD cloud.","PeriodicalId":377119,"journal":{"name":"International Conference on Language, Data, and Knowledge","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Language, Data, and Knowledge","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4230/OASIcs.LDK.2019.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This short paper presents preliminary considerations regarding LexBib, a corpus, bibliography, and domain ontology of Lexicography and Dictionary Research, which is currently being developed at University of Hildesheim. The LexBib project is intended to provide a bibliographic metadata collection made available through an online reference platform. The corresponding full texts are processed with text mining methods for the generation of additional metadata, such as term candidates, topic models, and citations. All LexBib content is represented and also publicly accessible as RDF Linked Open Data. We discuss a data model that includes metadata for publication details and for the text mining results, and that considers relevant standards for an integration into the LOD cloud.
这篇短文提出了关于LexBib的初步考虑,LexBib是词典编纂和词典研究的一个语料库、参考书目和领域本体,目前正在希尔德斯海姆大学开发。LexBib项目旨在通过在线参考平台提供书目元数据集合。使用文本挖掘方法处理相应的全文,以生成额外的元数据,如术语候选、主题模型和引用。所有LexBib内容都以RDF Linked Open Data的形式表示并公开访问。我们讨论了一个数据模型,该模型包括用于发布细节和文本挖掘结果的元数据,并考虑了集成到LOD云中的相关标准。