You are heresocial tagging
social tagging
Exploring Affective Computing for Enhancing the Museum Experience with Online Collections
Gunho Chae, KAIST, Republic of Korea / S. Joon Park, Drexel University, USA / Robert Stein, Indianapolis Museum of Art, USA / Jungwha Kim, KAIST, Republic of Korea / Susan Wiedenbeck, Drexel University, USA
Abstract
Exploring Affective Computing for Enhancing the Museum Experience with Online Collections
Introduction
Can Social Tagging Be a Tool to Reduce the Semantic Gap between Curators and Audiences? Making a Semantic Structure of Tags by Implementing the Facetted Tagging System for Online Art Museums
Gunho Chae and Jungwha Kim, KAIST, Republic of Korea
Abstract
Social tagging for art museums has been receiving widespread attention as a tool for reducing the semantic gap between curators and visitors by the publicís active participation and knowledge. However, as the number of tags is increasing, social tagging systems have shown limitations in providing meaningful information and supporting semantic relationships between tags and museum collections. Thus, to improve existing social tagging systems, this study proposes a facetted tagging system which gives a guideline or schema for the users when tagging the individual artworks. In order to demonstrate the effectiveness of a facetted tagging system in art museums we first presented six facets Background, Identification, Theme, Association, Emotion and Figureî – based on explanation and interpretation of art works so that the tags can be organized in semantic structure. Then we implemented the facetted tagging system with Gyeonggi Museum of Modern Art (GMoMA) and discussed the feasibility of facetted tagging systems and their results with GMoMA curators through workshops.
Keywords: Art Museum, Social tagging, Facetted Tagging, GMoMA
Computational Linguistics in Museums: Applications for Cultural Datasets
Judith Klavans, University of Maryland; Robert Stein, Indianapolis Museum of Art; Susan Chun, Independent Consultant and Researcher; Raul David Guerra, University of Maryland, USA
Abstract
This paper presents work of the T3: Text, Tags, Trust project, an interdisciplinary collaboration of computational linguists, computer scientists, indexing and information retrieval experts, and museum professionals from the University of Maryland and Steve: The Museum Social Tagging Project. The authors define some key problems for managing large-scale datasets, share tools and resources developed for the project, and describe ways that these resources can be deployed by museums without expertise in language processing. In addition, the paper examines some of the ways in which analysis of data collected by the Steve project builds on our understanding of the ways in which users see and describe our collections. The specific challenges of applying batch-processing tools and methods to large, unstructured datasets are addressed, best practices for dealing with a number of sticky issues are shared, and promising applications for future research and promising application areas are considered.
Keywords: computational linguistics, social tagging, steve.museum, collection access, text processing, metadata
Tour of the Philadelphia Museum of Art
Members of the museum's web team and collections information project
will discuss the online collection database and special exhibition
components of the museums' web site. The museum has used its own cell
phone audio system and uses audio and video podcasts extensively to
enhance the visitor experience online and in the galleries. The current
Tagging
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Archives & Museum Informatics EIN: 77-0708617; GST / BN 887978914
Description
Words, words, words. Whose words, why words, how words? Tags are just language but who assigns them, how and where, in in what relations to existing description is all critical to understanding, and ultimately to using, tags. In this session tagging discussion advances from art to science.
Can Social Tagging Be a Tool to Reduce the Semantic Gap between Curators and Audiences? Making a Semantic Structure of Tags by Implementing Facetted Tagging System for Online Art Museums
After the emergence of Web 2.0, online art museums have been evolving into participatory museums, in an attempt to increase the public’s participation through the utilization of social media.