A Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and their Usage

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dc.creatorRodriguez, Marko A.
dc.creatorBollen, Johah
dc.creatorVan de Sompel, Herbert
dc.date2007-08-08
dc.date.accessioned2026-07-07T08:22:47Z
dc.date.available2026-07-07T08:22:47Z
dc.descriptionThe large-scale analysis of scholarly artifact usage is constrained primarily by current practices in usage data archiving, privacy issues concerned with the dissemination of usage data, and the lack of a practical ontology for modeling the usage domain. As a remedy to the third constraint, this article presents a scholarly ontology that was engineered to represent those classes for which large-scale bibliographic and usage data exists, supports usage research, and whose instantiation is scalable to the order of 50 million articles along with their associated artifacts (e.g. authors and journals) and an accompanying 1 billion usage events. The real world instantiation of the presented abstract ontology is a semantic network model of the scholarly community which lends the scholarly process to statistical analysis and computational support. We present the ontology, discuss its instantiation, and provide some example inference rules for calculating various scholarly artifact metrics.
dc.identifierhttps://arxiv.org/abs/0708.1150
dc.identifierhttp://arxiv.org/abs/0708.1150
dc.identifierProceedings of the IEEE/ACM Joint Conference on Digital Libraries (JCDL'07), pp. 278-287, 2007
dc.identifierdoi:10.1145/1255175.1255229
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/135773
dc.subjectDigital Libraries
dc.subjectArtificial Intelligence
dc.subjectH.3.7; I.2.4
dc.titleA Practical Ontology for the Large-Scale Modeling of Scholarly Artifacts and their Usage
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