Search results

The purpose of this paper is to present a new framework for representing music for information retrieval that emphasizes socio-cultural aspects of music.

Philosophical and theoretical concepts related to the nature of music, aboutness, musical works are explored as they inform how music is represented. Multidisciplinary perspectives on music information representation, classification, and retrieval provide insight into how information science can better accommodate music information within its disciplinary boundaries.

A new term, music information object (MIO), is presented and defined. Downie’s (2003) theoretical statements are reconceptualized into a theory of representational incompleteness and three meta-classes for music information object representation.

This new framework incorporates more dimensions of music representation than existing frameworks allow and can facilitate comparisons between classifications of MIO representations by music practitioners, scholars, and system developers.

The meta-classes form a much-needed theoretical framework for classifying and defining MIOs from any musical tradition for retrieval. This fills a gap in music information retrieval research, which lacks a theoretical framework that can accommodate musics from all traditions without attempting to organize them according to a western-centered understanding.

This paper aims to overview the development of a user and usage database, including multiple datasets that were combined to achieve multi‐faceted analysis of users and their usage of the Florida Electronic Library (a statewide, licensed database).

Because of the differences in the purposes and activities among the project's five phases, the research team employed a multi‐method approach to data collection, including content analysis of datasets, usability and functionality assessments of the beta database, and cross‐tab and descriptive statistical analyses of datasets in the final database.

Researchers found first that, although numerous potential datasets existed, not all could be collated into one interactive database due to variations in measurement levels, currency, and other factors. Ultimately, the database included usage and Census data, allowing the researchers to assess usage per capita and in the context of counties' demographic profiles. The research finds that creation of a multi‐dataset database can be complicated but is useful for developing data‐driving marketing recommendations.

Compiling various datasets describing users and usage of a consortial licensed database into one interactive database facilitates cross‐tabulation and comparison. This project will enhance digital library research, evaluation, and marketing by serving as an example of how to identify appropriate datasets for cross‐tabulation, develop a database that allows interactive searching, use the database to develop targeted marketing campaigns, and better describe impacts and value of these datasets.