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Using an RDF Data Pipeline to Implement Cross-Collection Search
David Henry and Eric Brown, Missouri History Museum, USA
Abstract
This paper presents an approach to transforming data from many diverse sources in support of a semantic cross-collection search application. It describes the vision and goals for a semantic cross-collection search and examines the challenges of supporting search of that kind using very diverse data sources. The paper makes the case for supporting semantic cross-collection search using semantic web technologies and standards including Resource Descriptive Framework (RDF), SPARQL Protocol and RDF Query Language (SPARQL ), and an XML mapping language. The Missouri History Museum has developed a prototype method for transforming diverse data sources into a data repository and search index that can support a semantic cross-collection search. The method presented in this paper is a data pipeline that transforms diverse data into localized RDF; then transforms the localized RDF into more generalized RDF graphs using common vocabularies; and ultimately transforms generalized RDF graphs into a Solr search index to support a semantic cross-collection search. Limitations and challenges of this approach are detailed in the paper.
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
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
Digital Environment for Cultural Interfaces: Promoting Heritage, Education and Research
Andrea de Polo, Alinari 24 ORE SpA, Italy
http://www.decipher-research.eu/
Abstract
DECIPHER proposes new solutions to the whole range of narrative construction, knowledge visualisation and display problems, with a high degree of future proofing. It will produce a step change in the process by combining much richer, event-based metadata with causal reasoning models. This will result in a reasoning engine, virtual environment and interfaces that can present digital heritage objects as part of a coherent narrative, directly related to individual searches and user contexts. This will allow users to interactively assemble, visualise and explore, not just collections of objects, but the knowledge structures that connect and give them meaning.
Keywords: digital heritage, semantic Web, 3D, immersive navigation, virtual environment, cultural knowledge
The CollectionWeb Digital Ecosystems: A Semantic Web and Web 2.0 Framework for generating Museum Web sites
Reprogamming the Museum
Many museums have been busy building APIs since the Brookyln Museum set the example, and in 2009 the Powerhouse made the decision to offer a much of its collection data downloadable as a data dump. The decision was primarily a pragmatic one, as the Museum wanted to test the waters and examine how the data might be best used before dedicating resources to developing a full API.