Process Materials Scientific Data for Intelligent Service Using a Dataspace Model
نویسندگان
چکیده
منابع مشابه
Process Materials Scientific Data for Intelligent Service Using a Dataspace Model
Nowadays, materials scientific data come from lab experiments, simulations, individual archives, enterprise and internet in all scales and formats. The data flood has outpaced our capability to process, manage, analyze, and provide intelligent services. Extracting valuable information from the huge data ocean is necessary for improving the quality of domain services. The most acute information ...
متن کاملConceiving a Multiscale Dataspace for Data Analysis
A consequence of the intensive growth of information shared online is the increase of opportunities to link and integrate distinct sources of knowledge. This linking and integration can be hampered by different levels of heterogeneity in the available sources. Existing approaches focusing on heavyweight integration – e.g., schema mapping or ontology alignment – require costly upfront efforts to...
متن کاملA DataSpace Infrastructure for Astronomical Data
This article describes an internet infrastructure for working with data called DataSpace. A distributed DataSpace application containing data from the 2MASS and DPOSS astronomical data sets is also described. DataSpace is designed so that client applications supporting the remote analysis and distributed mining of data are easy to build.
متن کاملSemantic Data Model and Service for Supporting Intelligent Legislation Establishment
This paper describes a system which is an intelligent legisltive system developed by Ministry of Justice in Republic of Korea (MOJ) and Korea Institute of Science and Technology Information (KISTI). The system(iLaw) with semantic technologies-based platfoms which is from gathering information to newly introducing 4 new services (international legislation information map service, dynamic paper i...
متن کاملA dynamic lattice model for heterogeneous materials
In this paper, the mechanical behavior of three-phase inhomogeneous materials is modeled using the meso-scale model with lattice beams for static and dynamic analyses. The Timoshenko beam theory is applied instead of the classical Euler-Bernoulli beam theory and the mechanical properties of lattice beam connection are derived based on the continuum medium using the non-local continuum theory. T...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Data Science Journal
سال: 2016
ISSN: 1683-1470
DOI: 10.5334/dsj-2016-007