Using ontologies and STEP standards for the semantic simplification of CAD models in different engineering domains

نویسندگان

  • Jorge Posada
  • Carlos Toro
  • Stefan Wundrak
  • André Stork
چکیده

We present in this article an Ontology based compression system that uses STEP compliant standards for the compression and design review visualization of large CAD data sets. Our approach is orthogonal to the traditional techniques applied in the field as we complement previous works introducing semantic criteria along with algorithms for the categorization, simplification and user-oriented adaptation of the engineering components described by domain specific standards. As an example we have implemented two test cases in two specific domains -ISO-STEP 13013-AP227 in the case of industrial Plant Design and CIS/2 in the case of Steel Detailing Design (Structures Design).

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A procedure for Web Service Selection Using WS-Policy Semantic Matching

In general, Policy-based approaches play an important role in the management of web services, for instance, in the choice of semantic web service and quality of services (QoS) in particular. The present research work illustrates a procedure for the web service selection among functionality similar web services based on WS-Policy semantic matching. In this study, the procedure of WS-Policy publi...

متن کامل

Centralized Clustering Method To Increase Accuracy In Ontology Matching Systems

Ontology is the main infrastructure of the Semantic Web which provides facilities for integration, searching and sharing of information on the web. Development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. By emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...

متن کامل

A Joint Semantic Vector Representation Model for Text Clustering and Classification

Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...

متن کامل

A Method of Capturing Product Data Semantics By Building Engineering Ontology

The primary objective of this paper is to conceptualize and develop an approach to capture product data semantics for the integration of engineering applications in a design/analysis domain by building engineering ontologies and metadata. In this paper, we introduce our method of building ontologies, and using metadata to link product data to the concepts in ontologies. We present a method of c...

متن کامل

Ontological Semantics of Standards and PLM Repositories in the Product Development Phase

In order to optimally exploit the large amounts of engineering information stored in contemporary PLM systems, the concept of knowledge based engineering (KBE) can be considered from a PLM perspective. By eventually combining product structures and implicit semantics provided by PLM-systems on the one hand, and domain-specific standards on the other hand we believe to have identified a key enab...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Applied Ontology

دوره 1  شماره 

صفحات  -

تاریخ انتشار 2006