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Archiving Flickr and Other Websites of Interest to Museums
Ryan Donahue, George Eastman House and Aaron Straup Cope, General layabout / SBHS
Abstract
Providing Accessible Online Collections
Rachael Rainbow, Alex Morrison, Cogapp, UK; Matt Morgan, The Metropolitan Museum of Art, USA
http://www.metmuseum.org/collections
A New Framework for Querying Semantic Networks
Katerina Tzompanaki, Martin Doerr Institute of Computer Science, F.O.R.T.H. Crete–Greece
Abstract
The upcoming large-scale metadata repositories, semantic networks of Resource Description Framework triples integrating large amounts of cultural–historical data, are not easily accessible to global query paradigms, such as “query by example” or keyword search. ISO21127 (CIDOC Conceptual Reference Model) is an adequate global schema for such systems, but querying individually hundreds of different kinds of properties leaves a huge recall gap compared to text retrieval, whereas a global restriction to “core metadata,” such as Dublin Core, deprives the systems of any more advanced integration and reasoning capability. We therefore propose and have implemented a new query paradigm: Intuitive “fundamental” categories and relationships, as we are used to from core metadata, are presented to the user as complex deductions from a rich underlying network of more specialized actual metadata, rather than being primary documentation elements. In addition to efficiency, we also provide simplicity, as the user does not need a deep understanding of a complex schema in order to obtain the desired result. Application of the framework can easily be adjusted to many domains and user preferences.
Providing accessible online collections
Feedback from user research for the recently re-launched Metropolitan Museum of Art website made it clear that users need multiple routes into the collections. Visitors want to search across data, on multiple dimensions, and find other artworks that may interest them.
A New Framework for Querying Semantic Networks
Repositories of textual content can successfully be accessed by text search engines using combinations of keywords. “Open World” semantic networks of RDF triples however, the core of the Semantic Web and the state-of-the-art of metadata repositories for museum and other cultural information, are not easily accessible by such a global query paradigm.
Radically Open Cultural Heritage Data on the Web
What happens when hundreds of thousands of archival photos are shared with open licenses, then mashed up with geolocation data and current photos? Or when app developers can freely utilize information and images from millions of books?
Building Linked Data For Cultural Information Resources In Japan
Tetsuro Kamura, The Graduate University for Advanced Studies; Hideaki Takeda, Ikki Ohmukai and Fumihiro Kato, The National Institute of Informatics; Toru Takahashi, ATR Media Information Science Laboratories; Hiroshi Ueda, ATR-Promotions.inc, JAPAN
Abstract
Museum information in Japan is maintained distributedly and nonuniformly. This leads to difficulty in crossover searching for museum information. The LODAC (Linked Open Data for ACademia) project is building a prototype system (LODAC-Museum) to aggregate information across multiple sources. We identify and associate artists and works from different museum collections to provide integrated views for them. The key technology is Linked Data. All the aggregated data is transformed to the standard metadata schema and linked to each other via generated ID resources.
Keywords: Linked Data, Linked Open Data (LOD), Semantic Web, Metadata, RDF, Museum information
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
Playing with Difficult Objects – Game Designs to Improve Museum Collections
Mia Ridge, Science Museum, United Kingdom
Abstract
Crowdsourcing the creation, correction or enhancement of data about objects through games is an attractive proposition for museums looking to maximize use of their collections online without committing intensive curatorial resources to enhancing catalogue records. This paper investigates the optimum game designs to encourage participation and the generation of useful data through a case study of the project Museum Metadata Games that successfully designed games that created improved metadata for 'difficult' objects from two science and history museum collections.
Keywords: collections, games, crowdsourcing, objects, metadata, tagging
Publishing Digital Museum Collections on the Web Using the Metadata Assignment and Search Tool
Building LOD for cultural information resources in Japan
Museum information in Japan is maintained distributedly and nonuniformly. This leads to difficulty in crossover searching for museum information. The LODAC (Linked Open Data for ACademia) project is building a prototype system (LODAC-Museum) to aggregate information across multiple sources.
Museum Metadata Exchange
The demonstration will show the newly developed Museum Metadata Exchange (MME) by the Powerhouse Museum for the Council Of Australasian Museum Directors and Museums Australia.
Linked Data
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Archives & Museum Informatics EIN: 77-0708617; GST / BN 887978914
Description
Data might want to be free, but we want it to be connected, contextualized, linked to other data, and usable. How do we shape it, enhance it, and conceptualize it, so that our data can be enriched by being linked?
TourML: An Emerging Standard for Museum Mobile Experiences
The recent explosion of options used by museums to produce mobile experiences is undeniable. In the last 18 months, dozens of new mobile platforms have entered the marketplace as museums are planning, producing, and launching new experiences for visitors on their mobile devices.