Managing ubiquitous scientific knowledge on semantic web

Authors:
Hao Xu
Affiliations:
College of Computer Science and Technology, Jilin University, China and Department of Information Science and Engineering, University of Trento, Italy
Venue:
AST/UCMA/ISA/ACN'10 Proceedings of the 2010 international conference on Advances in computer science and information technology
Year:
2010

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Abstract

Managing ubiquitous scientific knowledge is a part of daily life for scholars, while it also becomes a hot topic in the Semantic Web research community. In this paper, we propose a SKO Types framework aiming to facilitate managing ubiquitous Scientific Knowledge Objects (SKO) driven by semantic authoring, modularization, annotation and search. SKO Types framework comprises SKO Metadata Schema, SKO Patterns and SKO Editor corresponding to metadata layer, ontology layer and interface layer respectively. SKO Metadata Schema specifies sets of attributes describing SKOs individually and relationally. SKO Patterns is a three-ontology based model in order to modularize scientific publications syntactically and semantically, while SKO Editor supplies a LaTex-like mark-up language and editing environment for authoring and annotating SKOs concurrently.