Information—Integration—Intelligence Solutions “Envisioning Semantic Web Technology Solutions for the Arts” Semantic Web and CIDOC CRM Workshop Ralph Hodgson, CTO, TopQuadrant National Museum of the American Indian Washington, DC 20013 October 25, 2009 “What can Semantic Web Technologies do for the Arts” Strategy Need Solution Outcome http://www.semuse.org/index.php?title=Semantic_Web_and_CIDOC_CRM_Workshop#Morning_Lightning_Talks
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Envisioning Semantic Web Technology Solutions for the Arts
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Information—Integration—Intelligence Solutions
“Envisioning Semantic Web Technology Solutions for the Arts”
Semantic Web and CIDOC CRM WorkshopRalph Hodgson, CTO, TopQuadrant
National Museum of the American IndianWashington, DC 20013
October 25, 2009
“What can Semantic Web Technologies do for the Arts”
co-founder and CTO of TopQuadrant, first US-based company specializing in semantic technologyPrior to starting TopQuadrant in 2001, held executive consulting positions at IBM Global Services as a founding member of Portal Practice and Object Technology Practice. Recent books: Adaptive Information, published by John Wiley in 2004, and Capability Cases: A Solution Envisioning Approach, published by Addison-Wesley in July 2005. In my spare time, a Pastel Artist and Sculptor
Information IntegrationMapable terms to build consistent & extensible vocabularies.Integrate models with both structured and unstructured data
Search and AnalysisSemantic relationships between data enable powerful queries that leverage knowledge organized by people to deliver specific answers in a highly scalable fashionNon-programmers can connect , search and analyze data
Application Longevity and Flexibility Future-proof applications (30, 50 100 years) by enabling knowledge workers to participate in model-based application development
XML is document-based not model-basedContainer Hierarchies - weak support for relationshipsWeak support for aggregation (combining documents)Schema Limitations
UML is Object-BasedRestricted Type SystemWeak on RelationshipsWeak notion of identityMetamodel (Schema) is in a different language
OWL is Set-BasedExpressive Type SystemStrong on RelationshipsStrong notion of identityGraphs not TreesMetamodel is in the same language
Capability Case: RecommenderSolutionStory: Personalized TV (PTV)
Filter information for people needing to monitor and assess large volumes of data for relevance, volatility or required response. The volume of targeted information is reduced based on its relevance according to a role or interest of the end user. Sensitive information is filtered according to the "need to know".
Personal TV Advisor uses a combination of model-based case based reasoning (CBR) and collaborative filtering technology to identify relevant information. Users set up their initial profiles and preferences based on the categories in a model of the entertainment domain. System continuously improves and refines its program recommendations learning from the feedback of the individual users (thumbs up/thumbs down function), as well as others who have similar tastes. Content can be delivered through a portal or via wireless interface.
A semantic portal for Finnish museums to publish their collections together on the Semantic WebA “Semantic Web” research project – web publishing
From 3/2002 to 3/2004Public pilot version from March 8, 2004:http://museosuomi.cs.helsinki.fi/
The Vision:Global View to Distributed Collections
One seamless national collection (virtually)”Museums in Finland” -> ”Museum of Finland”
Intelligent Services to End-UsersSearch: Concept-Based Information RetrievalBrowsing: Semantically Linked Contents
Easy Content Publication for Museums
Adapted from: Mirva Salminen, University of Helsinki, Helsinki Institute for Information Technology (HIIT) Semantic Computing Research Group, www.cs.helsinki.fi/group/seco/
CapabilityCase: Expert LocatorSolutionStory: Boeing Expert Locator
Provide users with convenient access to experts in a given area who can help with problems, answer questions, locate and interpret specific documents, and collaborate on specific tasks. Knowing who is an expert in what can be difficult in an organization with a large workforce of experts. Expert Locator could also identify experts across organizational barriers.
Boeing has a large workforce of experts making it hard to find the right person. This web-based system returns details on potentially appropriate experts. The Boeing technical thesaurus was harnessed to create expert profiles. Boeing Technical Libraries already had made a considerable investment to develop by hand a technical thesaurus in the form of a semantic network. It incorporates 37,000 concepts with an additional 19,000 synonym concept names, and 100,000 links including broaderTerm, narrowerTerm, and relatedTerm.
“Exploiting a Thesaurus-Based Semantic Net for Knowledge-Based Search”
Musing the possibilities of Semantic Web for the Art World
If we had ontologies ofGalleries, Museums, Cultural Collections, Private CollectionsExhibitions and EventsArtists and their Art WorksRSS and Tweet feeds
We could knowWhat is being shown where and whenWhere is this specific Art Work nowWho owns this Art WorkWhat influenced this Art WorkWhere was it painted – show me that on the WebDo I need to go to this exhibitionCan see the same some where nearer
Arts World Capability Cases (1 of 3)Artwork Recommender - semantics-driven
recommendations based on user profiles, feedback and collaborative filtering
EmergingArtistLocator – provides access to news, galleries and personal places/blogs of artists that are up and coming
MuseumTweetsAggregator– aggregates information from tweets making sense of what is happening, where it is happening, and what is of potential interest on a personal basis.
ArtTimeMachine– explores the life of an individual artist, connecting artworks to where they are now, who owns them and where they were created.
Virtual Docent- personalized virtual museum tours based on user profiles, feedback and collaborative filtering.
Artist-SpecificVirtual Docent- personalized virtual museum tours of a specific artist across multiple museums and galleries, based on user profiles, feedback and collaborative filtering.
LostArtWorkMinder – provides a place for potential recovery of art works by allowing news, events and other information to be interpreted and aggregated.
“Semantic Web” is happening in the Arts: The CHIP Project (1 of 2)
The goals of the CHIP project are to demonstrate how novel Semantic Web technologies can be deployed to enrich the Rijksmuseum vocabularies and providing semantic browsing, searching and semantic recommendations; andhow personalization and user modeling techniques can be explored to enhance users’ experiences both on the museum Web site and in the physical museum space.
“Semantic Web” is happening in the Arts: The CHIP Project (2 of 2)
The CHIP (Cultural Heritage Information Presentation) project is funded by Dutch Science Foundation NWO-CATCH (Continuous Access to Cultural Heritage) program. This work is a collaboration between the Technical University Eindhoven, the Rijksmuseum Amsterdam and the Telematica Institute.