Y. Miyadera, Chiaki Murakami, Koichi Anada, Shoichi Nakamura, T. Yaku
{"title":"属性图语法方法的研究信息收集与共享","authors":"Y. Miyadera, Chiaki Murakami, Koichi Anada, Shoichi Nakamura, T. Yaku","doi":"10.1109/ICDIM.2016.7829773","DOIUrl":null,"url":null,"abstract":"In sharing information for the research support at university laboratories, not only the research documents including references, seminar documents, research data, and articles but also the context information including the process of the research activities that have been conducted and the relations between the research documents are important. In this study, both research documents and context information are called “research information”. This research information can be effectively managed and shared in a visual manner on the system. In collecting research information, the members' workload must be reduced as much as possible. In addition, to better share research information, it should be able to be visualized quickly without stress. Therefore, this paper describes a research information collection and sharing method developed by introducing attribute graph grammar. Specifically, this paper presents a research information collection method that can deal with various research activities and reduce members' workload for collecting information by introducing a research information relations graph (RIRG) and generating RIRG based on the production of the attribute graph grammar. In addition, this paper describes a method for effectively drawing RIRG by using a semantic rule of the attribute graph grammar. Finally, this paper introduces a research information collection and sharing support system (ResearchView) using this method.","PeriodicalId":146662,"journal":{"name":"2016 Eleventh International Conference on Digital Information Management (ICDIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Attribute graph grammar method for research information collection and sharing\",\"authors\":\"Y. Miyadera, Chiaki Murakami, Koichi Anada, Shoichi Nakamura, T. Yaku\",\"doi\":\"10.1109/ICDIM.2016.7829773\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In sharing information for the research support at university laboratories, not only the research documents including references, seminar documents, research data, and articles but also the context information including the process of the research activities that have been conducted and the relations between the research documents are important. In this study, both research documents and context information are called “research information”. This research information can be effectively managed and shared in a visual manner on the system. In collecting research information, the members' workload must be reduced as much as possible. In addition, to better share research information, it should be able to be visualized quickly without stress. Therefore, this paper describes a research information collection and sharing method developed by introducing attribute graph grammar. Specifically, this paper presents a research information collection method that can deal with various research activities and reduce members' workload for collecting information by introducing a research information relations graph (RIRG) and generating RIRG based on the production of the attribute graph grammar. In addition, this paper describes a method for effectively drawing RIRG by using a semantic rule of the attribute graph grammar. Finally, this paper introduces a research information collection and sharing support system (ResearchView) using this method.\",\"PeriodicalId\":146662,\"journal\":{\"name\":\"2016 Eleventh International Conference on Digital Information Management (ICDIM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Eleventh International Conference on Digital Information Management (ICDIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDIM.2016.7829773\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Eleventh International Conference on Digital Information Management (ICDIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIM.2016.7829773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Attribute graph grammar method for research information collection and sharing
In sharing information for the research support at university laboratories, not only the research documents including references, seminar documents, research data, and articles but also the context information including the process of the research activities that have been conducted and the relations between the research documents are important. In this study, both research documents and context information are called “research information”. This research information can be effectively managed and shared in a visual manner on the system. In collecting research information, the members' workload must be reduced as much as possible. In addition, to better share research information, it should be able to be visualized quickly without stress. Therefore, this paper describes a research information collection and sharing method developed by introducing attribute graph grammar. Specifically, this paper presents a research information collection method that can deal with various research activities and reduce members' workload for collecting information by introducing a research information relations graph (RIRG) and generating RIRG based on the production of the attribute graph grammar. In addition, this paper describes a method for effectively drawing RIRG by using a semantic rule of the attribute graph grammar. Finally, this paper introduces a research information collection and sharing support system (ResearchView) using this method.