Orlando Fonseca Guilarte, Simone Diniz Junqueira Barbosa, S. Pesco
{"title":"论文中推荐参考文献的协同支持","authors":"Orlando Fonseca Guilarte, Simone Diniz Junqueira Barbosa, S. Pesco","doi":"10.5753/sibgrapi.est.2019.8300","DOIUrl":null,"url":null,"abstract":"Understanding citations to scientific publications is a task of vital importance in the academic world. This task can be supported by appropriate data structures and visualization mechanisms. One challenge is the amount of existing relationships and the difficulty of determining which of the references of a document are considered the most potentially relevant to it. In this paper, we propose a visual approach based on graphs to recommend important references. Also, we propose a procedure to build and update the citation graph in a collaborative way.","PeriodicalId":119031,"journal":{"name":"Anais Estendidos da Conference on Graphics, Patterns and Images (SIBGRAPI)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Collaborative Support for Recommending References in Papers\",\"authors\":\"Orlando Fonseca Guilarte, Simone Diniz Junqueira Barbosa, S. Pesco\",\"doi\":\"10.5753/sibgrapi.est.2019.8300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding citations to scientific publications is a task of vital importance in the academic world. This task can be supported by appropriate data structures and visualization mechanisms. One challenge is the amount of existing relationships and the difficulty of determining which of the references of a document are considered the most potentially relevant to it. In this paper, we propose a visual approach based on graphs to recommend important references. Also, we propose a procedure to build and update the citation graph in a collaborative way.\",\"PeriodicalId\":119031,\"journal\":{\"name\":\"Anais Estendidos da Conference on Graphics, Patterns and Images (SIBGRAPI)\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anais Estendidos da Conference on Graphics, Patterns and Images (SIBGRAPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5753/sibgrapi.est.2019.8300\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais Estendidos da Conference on Graphics, Patterns and Images (SIBGRAPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/sibgrapi.est.2019.8300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Collaborative Support for Recommending References in Papers
Understanding citations to scientific publications is a task of vital importance in the academic world. This task can be supported by appropriate data structures and visualization mechanisms. One challenge is the amount of existing relationships and the difficulty of determining which of the references of a document are considered the most potentially relevant to it. In this paper, we propose a visual approach based on graphs to recommend important references. Also, we propose a procedure to build and update the citation graph in a collaborative way.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
