{"title":"搜索项目:爱尔兰传统音乐,存档的田野调查和数字","authors":"Patrick Egan","doi":"10.1007/s10502-021-09382-z","DOIUrl":null,"url":null,"abstract":"<div><p>In the past ten years, a growing number of digital projects have emerged within archives, and they have placed a focus on using Linked Data to facilitate connections to be made between music related materials across the World Wide Web. Projects such as Linked Jazz exemplify the possibilities that can be achieved between researchers, digital experts and archivists. Recent developments for Irish traditional music at the Irish Traditional Music Archive (ITMA) in Dublin, Ireland mean that the genre can also now be described using an extensive ontology, LITMUS (Linked Irish Traditional Music). In 2019, we engaged this ontology within a digital project entitled Connections in Sound, exploring the challenges and possibilities for Linked Data based on audio collections of Irish traditional music from the American Folklife Center (AFC) at the Library of Congress in Washington DC. The project adapted an experimental approach to enriching metadata from audio materials of Irish traditional music, song and dance at the AFC by creating and working with proof-of-concept resources. Using the project entitled Connections in Sound as a case study, this paper will demonstrate the challenges, opportunities and particularities related to engaging a range of fieldwork and transcribed metadata as Linked Data. This paper suggests that the work of experimenting with certain types of non-commercial digital audio material for use in datasets and digital infrastructures informs ways to represent diversity of musical traditions in the archive and across the World Wide Web.\n</p></div>","PeriodicalId":46131,"journal":{"name":"ARCHIVAL SCIENCE","volume":"23 1","pages":"45 - 63"},"PeriodicalIF":1.4000,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10502-021-09382-z.pdf","citationCount":"1","resultStr":"{\"title\":\"In search of the item: Irish traditional music, archived fieldwork and the digital\",\"authors\":\"Patrick Egan\",\"doi\":\"10.1007/s10502-021-09382-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In the past ten years, a growing number of digital projects have emerged within archives, and they have placed a focus on using Linked Data to facilitate connections to be made between music related materials across the World Wide Web. Projects such as Linked Jazz exemplify the possibilities that can be achieved between researchers, digital experts and archivists. Recent developments for Irish traditional music at the Irish Traditional Music Archive (ITMA) in Dublin, Ireland mean that the genre can also now be described using an extensive ontology, LITMUS (Linked Irish Traditional Music). In 2019, we engaged this ontology within a digital project entitled Connections in Sound, exploring the challenges and possibilities for Linked Data based on audio collections of Irish traditional music from the American Folklife Center (AFC) at the Library of Congress in Washington DC. The project adapted an experimental approach to enriching metadata from audio materials of Irish traditional music, song and dance at the AFC by creating and working with proof-of-concept resources. Using the project entitled Connections in Sound as a case study, this paper will demonstrate the challenges, opportunities and particularities related to engaging a range of fieldwork and transcribed metadata as Linked Data. This paper suggests that the work of experimenting with certain types of non-commercial digital audio material for use in datasets and digital infrastructures informs ways to represent diversity of musical traditions in the archive and across the World Wide Web.\\n</p></div>\",\"PeriodicalId\":46131,\"journal\":{\"name\":\"ARCHIVAL SCIENCE\",\"volume\":\"23 1\",\"pages\":\"45 - 63\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2022-01-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s10502-021-09382-z.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ARCHIVAL SCIENCE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10502-021-09382-z\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ARCHIVAL SCIENCE","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s10502-021-09382-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
In search of the item: Irish traditional music, archived fieldwork and the digital
In the past ten years, a growing number of digital projects have emerged within archives, and they have placed a focus on using Linked Data to facilitate connections to be made between music related materials across the World Wide Web. Projects such as Linked Jazz exemplify the possibilities that can be achieved between researchers, digital experts and archivists. Recent developments for Irish traditional music at the Irish Traditional Music Archive (ITMA) in Dublin, Ireland mean that the genre can also now be described using an extensive ontology, LITMUS (Linked Irish Traditional Music). In 2019, we engaged this ontology within a digital project entitled Connections in Sound, exploring the challenges and possibilities for Linked Data based on audio collections of Irish traditional music from the American Folklife Center (AFC) at the Library of Congress in Washington DC. The project adapted an experimental approach to enriching metadata from audio materials of Irish traditional music, song and dance at the AFC by creating and working with proof-of-concept resources. Using the project entitled Connections in Sound as a case study, this paper will demonstrate the challenges, opportunities and particularities related to engaging a range of fieldwork and transcribed metadata as Linked Data. This paper suggests that the work of experimenting with certain types of non-commercial digital audio material for use in datasets and digital infrastructures informs ways to represent diversity of musical traditions in the archive and across the World Wide Web.
期刊介绍:
Archival Science promotes the development of archival science as an autonomous scientific discipline. The journal covers all aspects of archival science theory, methodology, and practice. Moreover, it investigates different cultural approaches to creation, management and provision of access to archives, records, and data. It also seeks to promote the exchange and comparison of concepts, views and attitudes related to recordkeeping issues around the world.Archival Science''s approach is integrated, interdisciplinary, and intercultural. Its scope encompasses the entire field of recorded process-related information, analyzed in terms of form, structure, and context. To meet its objectives, the journal draws from scientific disciplines that deal with the function of records and the way they are created, preserved, and retrieved; the context in which information is generated, managed, and used; and the social and cultural environment of records creation at different times and places.Covers all aspects of archival science theory, methodology, and practiceInvestigates different cultural approaches to creation, management and provision of access to archives, records, and dataPromotes the exchange and comparison of concepts, views, and attitudes related to recordkeeping issues around the worldAddresses the entire field of recorded process-related information, analyzed in terms of form, structure, and context