Browsing by Subject "Linked Data"
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Item January 2019 Forum(Texas Digital Library, 2019-01-16) DeForest, Lea; Park, KristiItem Populating a Linked Data Entity Name System(2016-05) Kejriwal, Mayank; Miranker, Daniel P.; Ghosh, Joydeep; Price, Eric; Miikkulainen, Risto; Mooney, RaymondResource Description Framework (RDF) is a graph-based data model used to publish data as a Web of Linked Data. RDF is an emergent foundation for large-scale data integration, the problem of providing a unified view over multiple data sources. An Entity Name System (ENS) is a thesaurus for entities, and is a crucial component in a data integration architecture. Populating a Linked Data ENS is equivalent to solving an Artificial Intelligence problem called instance matching, which concerns identifying pairs of entities referring to the same underlying entity. This dissertation presents an instance matcher with four properties, namely automation, heterogeneity, scalability and domain independence. Automation is addressed by employing inexpensive but well-performing heuristics to automatically generate a training set, which is employed by other machine learning algorithms in the pipeline. Data-driven alignment algorithms are adapted to deal with structural heterogeneity in RDF graphs. Domain independence is established by actively avoiding prior assumptions about input domains, and through evaluations on ten RDF test cases. The full system is scaled by implementing it on cloud infrastructure using MapReduce algorithms.Item Session 3D | Evaluation and Adaptation: How Change Allowed Us to Thrive(Texas Digital Library, 2022-04-25) Speer, ElizabethAs a participant in the Program for Cooperative Cataloging (PCC) Wikidata Pilot, Texas A&M University (TAMU) created linked data in the Wikidata platform for a selected sample of mechanical engineering students, their doctoral dissertations and faculty advisors. This presentation will provide an overview of how an inter-departmental team of four cataloging/metadata librarians and one curator used tools such as OpenRefine and Mix’n’Match to populate Wikidata with metadata from OAKTrust, the TAMU institutional repository, as well Scholars.tamu.edu, its VIVO database of faculty member profiles. It will also describe efforts to manually enhance the items that were created and issues that were encountered, as well as experimentation with SPARQL queries to demonstrate the value of the transformed data. Finally, this presentation will cover potential implications that Wikidata may have for library workflows regarding the management and disambiguation of persons and other entities in the TAMU Libraries’ catalog and institutional repository.