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Exploring Affective Computing for Enhancing the Museum Experience with Online Collections
Introduction
Reprogramming The Museum
Luke Dearnley, Powerhouse Museum, Australia
Abstract
This paper looks at how the Powerhouse Museum's collection data API launched in 2010 quantitatively and qualitatively improves upon the access provided by the download dataset previously offered, as well as how the tracking methods were built into the API to ensure that the project is best able to adapt to the user needs of API developers. It provides details on the lessons learned and suggests best practices for API development in the cultural sector.
Keywords: Web 2.0, API, collection access, Flickr, semantic web, Creative Commons
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
Automatic Heritage Metadata Enrichment with Historic Events
Marieke van Erp, Department of Computer Science, VU University; Johan Oomen, Netherlands Institute for Sound and Vision; Roxane Segers, Department of Computer Science, VU University; Chiel van den Akker, Department of History, VU University; Lora Aroyo, Department of Computer Science, VU University; Geertje Jacobs, Rijksmuseum Amsterdam; Susan Legêne, Department of History, VU University; Lourens van der Meij, Jacco van Ossenbruggen; and Guus Schreiber, Department of Computer Science, VU University, Amsterdam, The Netherlands
Abstract
Metadata enrichment of cultural heritage collections by means of structured vocabularies has been shown to improve the work of professionals and to increase accessibility of the collections for end-users. Still, collection metadata lack rich context information, such as references to events, which can be valuable for a more effective navigation in cultural heritage collections. In this paper, we present an approach that extends existing metadata enrichment processes with a method to discover historical events. The events are structured in a historical event thesaurus to enrich object metadata. As such, the event thesaurus is used as a bridge between objects in different collections. The results of this work allow for topic-based and event-centered browsing, searching and navigating in integrated collections.
Keywords: collection metadata enrichment, collection access, historical events, thesauri, linking collections, liniking objects, search and browse
Automatic Metadata Enrichment and Linking for Event-driven Access to Distributed Collections
Most digitised and online available objects from GLAMs (Galleries, Libraries, Archives, Museums) can be browsed through a predefined set of formal metadata, such as its creator, year of creation, and type of material. Standards for metadata management and exchange have matured and are being adopted widely.
Computational Linguistics in Museums: Applications for Cultural Datasets
As museums continue to develop more sophisticated techniques for managing and analyzing cultural data, many are beginning to encounter challenges when trying to deal with the nuances of language and automated processing tools. How might user-generated comments be harvested and processed to determine the nature of the comment? Is it possible to use existing collection documentation t