Bringing the Semantics into Digital Shapes: the AIM@SHAPE Approach

B. Falcidieno
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引用次数: 1

Abstract

This presentation describes the main objectives and achievements of the European Network of Excellence AIM@SHAPE. This NoE is aimed to advance research in the direction of semantic-based shape representations and tools able to acquire, build, transmit and process shapes with their associated knowledge. Acting on a multi-disciplinary research field, AIM@SHAPE deeply integrates geometry processing, computer graphics and vision with knowledge technologies. The core of the integration resides in the homogenisation of the approach to modelling shapes and their associated semantics using knowledge formalisation mechanisms: metadata and ontology. A main objective is also to develop an innovative e-science platform for modelling, processing and sharing digital shapes, called the Digital Shape Workbench (DSW). Through the definition of general and specific shape ontologies, the DSW is a framework able to store shapes, tools, and publications along with the knowledge related to them.
将语义带入数字形状:AIM@SHAPE方法
本报告介绍了欧洲卓越网络AIM@SHAPE的主要目标和成就。该NoE旨在推进基于语义的形状表示方向的研究,以及能够获取、构建、传输和处理形状及其相关知识的工具。AIM@SHAPE作为一个多学科的研究领域,将几何处理、计算机图形学和视觉与知识技术深度融合。集成的核心在于使用知识形式化机制(元数据和本体)建模形状及其相关语义的方法的同质化。一个主要目标是开发一个创新的电子科学平台,用于建模、处理和共享数字形状,称为数字形状工作台(DSW)。通过对一般和特定形状本体的定义,DSW是一个能够存储形状、工具和出版物以及与之相关的知识的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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