Browsing by Subject "Linked data"
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Item Diamond : a Rete-match linked data SPARQL environment(2010-12) Depena, Rodolfo Kaplan; Miranker, Daniel P.; Batory, Don S.Diamond is a SPARQL query engine for linked data. Linked data is a sub-topic of the Semantic Web where data is represented as a labeled directed graph using the Resource Description Framework (RDF), a conceptual data model for web resources, to affect a web-wide interconnected, distributed labeled graph. SPARQL graph patterns entail portions of this distributed graph. Diamond compiles SPARQL queries into a physical query plan based on a set of newly defined operators that implement a new variant of the Rete match, a well known artificial intelligence (AI) algorithm used for complex pattern-matching problems.Item Session 2C | Wrangling Serial Titles and Place Names in the UNT Libraries’ Digital Collections(2022-05-24) Phillips, MarkThe UNT Libraries’ Digital Collections has grown to include over 3 million unique digital resources including maps, newspapers, photographs, audio, and video records. These digital collections use the UNTL metadata format, that is based on Dublin Core and includes qualifiers that allow for more specificity about a field to be represented. While the UNTL metadata format works well in describing a wide range of digital resources held in our collections, one thing that has not been modeled well historically is the concept of a “Title” such as a serial title for a newspaper, like the Austin American-Statesman or a “Place” such as Denton, Texas. This past year we have taken the first steps to manage titles and place names in a more robust way in the UNT Libraries’ Digital Collections. This involved the creation of a system to model the concept of a Title and the concept of a Place that could be populated with information that provides descriptive and specificity to adequately represent these concepts. Trying not to reinvent the wheel, this approach leveraged data from the Library of Congress databases to link title records with existing LCCN and OCLC numbers. Likewise places are linked with Geonames and Wikidata to provide equivalences between systems. Finally appropriate user interface elements were integrated into the system to expose this information to the end user so that they are able to make use of this effort in identification and disambiguation of these concepts. This presentation will present the problem we were facing, explain the approach, and provide examples of next steps in this space.