Title | Pattern-Based Linked Data Publication: The Linked Chess Dataset Case |
Publication Type | Conference Papers |
Year of Publication | 2015 |
Authors | RodrÃguez-Doncel, V, Krisnadhi, A, Hitzler, P, Cheatham, M, Karima, N, Amini, R |
Editor | Hartig, O, Sequeda, J, Hogan, A |
Conference Name | Proceedings of the 6th International Workshop on Consuming Linked Data co-located with 14th International Semantic Web Conference (ISWC 2015), Bethlehem, Pennsylvania, US, October 12th, 2015 |
Volume | 1426 |
Date Published | 10/2015 |
Publisher | CEUR-WS.org |
Abstract | This paper discusses the relationship between ontology design patterns (ODPs), data models and linked data, proposing a method that simplifies the task of publishing linked data while adhering to good modeling practices that reuse well-studied ODPs. The proposed process simplifies the tasks of the domain experts but preserves the integrity of the design patterns, favoring a well-designed and well documented data model which fosters data reuse. The work is illustrated with a linked dataset of two million chess games, with the key information mapped to other linked datasets and supported by formalized design patterns. This is the first time a chess dataset is presented as linked data, and an insight on its usefulness is given. |
URL | http://dase.cs.wright.edu/publications/pattern-based-linked-data-publication-linked-chess-dataset-case |