LOD-LAM: News

Article Awarded Outstanding Paper by Emerald

Jul. 27, 2015

An article co-authored by SLIS alumnus Sean Petiya, M.L.I.S. '14, M.S. '14, was selected by the editors of Library Hi Tech journal as the Outstanding Paper of 2014. His co-authors include Thomas Baker, Department of Library and Information Science, Sungkyunkwan University, Seoul, Korea, and Karen Coyle, consultant, Berkeley, Calif. Baker was an advisor for the School’s Linked Open Data—Libraries, Archives and Museums (LOD-LAM) project, whose co-PIs are SLIS Professor Marcia Lei Zeng, Ph.D., and Associate Professor Karen F. Gracy, Ph.D. The Web repository of the research examples and methodology of this paper are hosted at the LOD-LAM website: http://lod-lam.slis.kent.edu/wemi-rdf/.

Petiya recently received the 2015 Thomas J. Froehlich Award from the School, awarded for academic excellence and promise for leadership in the field of information architecture and knowledge management.

Metadata Vocabulary Junction (MV-Junction) Project Now Complete

Aug. 17, 2014

The Linked Open Data—Libraries, Archives and Museums (LOD-LAM) research group at the School of Library and Information Science, Kent State University, has recently completed the Metadata Vocabulary Junction (MV-Junction) Project.

Led by Drs. Marcia Lei Zeng and Karen F. Gracy, this project aimed to address the question of how libraries can benefit from the data and metadata resources via the Linked Open Data universe by providing a bridge that helps connect libraries and users to these resources.

The research team studied metadata vocabularies from different namespaces to determine the semantic relationships among elements, and establish alignments between classes and properties from the various namespaces. Project resources generated by the research team included:

1) analyses and alignents of metadata terms used by communities and data providers in particular domains, such as philosophy, music, archives, visual resources, and museum objects, and 2) tools to help librarians discover matched metadata terms and analyze bibliographic information for the purposes of generating terms that can be connected to Linked Data resources.

LOD-LAM Challenge.

May 2, 2013

Two student-led projects have been submitted to LOD-LAM (Linked Open Data in Libraries, Archives and Museums) Challenge website on May 1. The voting will be ended on May 9.

1. Title: MARC to Linked Data Team: Dataconvertor Team Leader: Sammy Davidson Team Members: Laurence Skirvin, Jeff Mixter http://summit2013.lodlam.net/2013/05/01/marc-to-linked-data

2. Entry: DataModeler Title: Linked Data Data Modeling: Converting VRA Core 4 into Linked Data Team: Datamodeler Team Leader: Jeff Mixter http://summit2013.lodlam.net/2013/05/01/challenge-entry-datamodelers

Ontology and Stylesheet to convert VRA Core 4 into Linked Data

April 22, 2013

using schema.org and popular vocabularies; available at: http://jmixter.s3-website-us-east-1.amazonaws.com/thesis/

JASIS article in press

April 20, 2013

Gracy, Karen, Marcia Lei Zeng, and Laurence Skirvin. 2013. Exploring Methods To Improve Access to Music Resources by Aligning Library Data With Linked Data: A Report of Methodologies and Preliminary Findings. Journal of the American Society for Information Science and Technology. In press. DOI: 10.1002/asi.22914span>



This work was supported by a grant from IMLS. It is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. reserved.