M. Fugini, Jacopo Finocchi, Filippo Leccardi, Paolo Locatelli, A. Lupi
{"title":"智能公司的文本分析架构","authors":"M. Fugini, Jacopo Finocchi, Filippo Leccardi, Paolo Locatelli, A. Lupi","doi":"10.1109/WETICE.2019.00064","DOIUrl":null,"url":null,"abstract":"This paper presents an architecture for Big Data Analytics regarding unstructured content. The architecture is proposed as an industrial solution in a real setting. In particular, the paper focuses on BD (Big Data) for Smart Companies and on Enterprise Content Management for extraction of information from textual BD. It presents the process architecture and discusses some experiments done as part of a larger BD Analytics project.","PeriodicalId":116875,"journal":{"name":"2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Text Analytics Architecture for Smart Companies\",\"authors\":\"M. Fugini, Jacopo Finocchi, Filippo Leccardi, Paolo Locatelli, A. Lupi\",\"doi\":\"10.1109/WETICE.2019.00064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an architecture for Big Data Analytics regarding unstructured content. The architecture is proposed as an industrial solution in a real setting. In particular, the paper focuses on BD (Big Data) for Smart Companies and on Enterprise Content Management for extraction of information from textual BD. It presents the process architecture and discusses some experiments done as part of a larger BD Analytics project.\",\"PeriodicalId\":116875,\"journal\":{\"name\":\"2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WETICE.2019.00064\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WETICE.2019.00064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents an architecture for Big Data Analytics regarding unstructured content. The architecture is proposed as an industrial solution in a real setting. In particular, the paper focuses on BD (Big Data) for Smart Companies and on Enterprise Content Management for extraction of information from textual BD. It presents the process architecture and discusses some experiments done as part of a larger BD Analytics project.