Gioele Barabucci, A. Iorio, Francesco Poggi, F. Vitali
{"title":"法律数据集的集成:从元模型到实现","authors":"Gioele Barabucci, A. Iorio, Francesco Poggi, F. Vitali","doi":"10.1145/2539150.2539180","DOIUrl":null,"url":null,"abstract":"This paper presents ALLOT, an ontology based on Akoma Ntoso to describe entities referenced in legal documents. The focus is on the use of ALLOT to bridge heterogeneous knowledge bases. We present some experiments in integrating heterogeneous legal datasets through ALLOT. We also discuss the lessons learned in the development of this ontology, lessons that can highlight some issues with the current landscape of legal formats and data.","PeriodicalId":424918,"journal":{"name":"International Conference on Information Integration and Web-based Applications & Services","volume":"214 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Integration of legal datasets: from meta-model to implementation\",\"authors\":\"Gioele Barabucci, A. Iorio, Francesco Poggi, F. Vitali\",\"doi\":\"10.1145/2539150.2539180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents ALLOT, an ontology based on Akoma Ntoso to describe entities referenced in legal documents. The focus is on the use of ALLOT to bridge heterogeneous knowledge bases. We present some experiments in integrating heterogeneous legal datasets through ALLOT. We also discuss the lessons learned in the development of this ontology, lessons that can highlight some issues with the current landscape of legal formats and data.\",\"PeriodicalId\":424918,\"journal\":{\"name\":\"International Conference on Information Integration and Web-based Applications & Services\",\"volume\":\"214 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Information Integration and Web-based Applications & Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2539150.2539180\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information Integration and Web-based Applications & Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2539150.2539180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integration of legal datasets: from meta-model to implementation
This paper presents ALLOT, an ontology based on Akoma Ntoso to describe entities referenced in legal documents. The focus is on the use of ALLOT to bridge heterogeneous knowledge bases. We present some experiments in integrating heterogeneous legal datasets through ALLOT. We also discuss the lessons learned in the development of this ontology, lessons that can highlight some issues with the current landscape of legal formats and data.