38 research outputs found
Effective Ontology Matching in High-Performance Computing Environments
No full textExtending complex information structures by means of ontology matching is of high interest for a number of tasks solved in the semantic web. The main motivation behind this work is that the procedure of ontology matching requires a robust and scalable solution that ensures the maximal efficiency of matching operations. That is especially important when thinking of matching large scale data among several ontologies, where the performance and scalability of performing the matching algorithms is settled to the point. In this paper, we propose an approach for distributed ontology matching, improving the matching’s efficiency and scalability due to the distribution and parallelization of implemented algorithms. This enables applications performing ontology matching to get benefit of running in high-performance computing environments and ensures that the full potential of computing resources is enabled for the matching process
Parallelization and Distribution Techniques for Ontology Matching in Urban Computing Environments
No full textRemote instrumentation infrastructure for e-Science. Approach of the DORII project
No full textWhereas the available resources and storage capabilities constitute the most important limitation for researchers in experiments to be performed, increasing availability of high-performance computing resources, provided by the Grid, has allowed many e-Science communities to proceed with new challenging experiments, especially involving expense and complex specialized measurement instrumentation and pervasive large-scale data acquisition platforms. Remote instrumentation, which means providing control of distributed scientific instruments by users from remote locations, is an important part of functionality that applications, developed in a number of e-Science domains (among others, environmental science, earthquake engineering, experimental science), are supposed to provide. The EC-funded Deployment of Remote Instrumentation Infrastructure (DORII) project aims to establish a new e-Infrastructure which allows the applications to provide remote instrumentation services in high-performance Grid computing environments. The paper presents basic aspects of the Remote Instrumentation Infrastructure deployment and further use with respect to requirements of specific application fields of e-Science. ©2009 IEEE
tauOWL: A Framework for Managing Temporal Semantic Web Documents
No full textThe World Wide Web Consortium (W3C) OWL 2 Web Ontology Language (OWL 2) recommendation is an ontology language for the Semantic Web. It allows defining both schema (i.e., entities, axioms, and expressions) and instances (i.e., individuals) of ontologies. OWL 2 ontologies are stored as Semantic Web documents. However, OWL 2 lacks explicit support for time-varying schema or for time-varying instances. Hence, knowledge engineers or maintainers of semantics-based Web resources have to use ad hoc techniques in order to specify OWL 2 schema for time-varying instances. In this paper, for a disciplined and systematic approach to the temporal management of Semantic Web documents, we propose the adoption of a framework called Temporal OWL 2 (τOWL), which is inspired by the τXSchema framework defined for XML data. In a way similar to what happens in τXSchema, τOWL allows creating a temporal OWL 2 ontology from a conventional (i.e., non-temporal) OWL 2 ontology and a set of logical and physical annotations. Logical annotations identify which elements of a Semantic Web document can vary over time; physical annotations specify how the time-varying aspects are represented in the document. By using annotations to integrate temporal aspects in the traditional Semantic Web, our framework (i) guarantees logical and physical data independence for temporal schemas and (ii) provides a low-impact solution since it requires neither modifications of existing Semantic Web documents, nor extensions to the OWL 2 recommendation and Semantic Web standards
Dynamic Approach to Scheduling Reconfigurable Scientific Workflows in Heterogeneous HPC Environments
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An Approach for Distributed Parallelization of Large-Scale Semantic Web Reasoners Based on MPI
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