Bibliomining is the use of a combination of data mining, data warehousing, and bibliometrics for the purpose of analyzing library services. The term was created in 2003 by Scott Nicholson, Assistant Professor, Syracuse University School of Information Studies, in order to distinguish data mining in a library setting from other types of data mining.
Bibliomining is the use of a combination of data mining, data warehousing, and bibliometrics for the purpose of analyzing library services. The term was created in 2003 by Scott Nicholson, Assistant Professor, Syracuse University School of Information Studies, in order to distinguish data mining in a library setting from other types of data mining.
==How bibliomining works== First a data warehouse must be created. This is done by compiling information on the resources, such as titles and authors, subject headings, and descriptions of the collections. Then the demographic surrogate information is organized. Finally the library information (such as the librarian, whether or not the information came from the reference desk or circulation desk, and the location of the library) is obtained.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).