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International competition and the rapidly global economy, unified by improved communication and transportation, offer to the consumers an enormous choice of goods and services. The result is that companies now require quality, value, time to market and innovation to be successful in order to win the increasing competition. In the engineering sector...
Citations
... The label of car parts suggested inFigure 3, of course, are just suggestions and not a proposed standard. Nevertheless, a KM system can be employed to perform term resolution to ensure interoperability between proprietary systems or peer knowledge could be shared as in [19]. For example, it is expected that the model parts created by a CAD will have suggestive names, and with the help of a KM system, simple linguistic preprocessing and some term enrichment from a tool like WordNet [23], a good level of correspondence can be automatically established between the layer and part names of models designed by different authors. ...
Modeling with 3D shapes plays a significant role in Industrial Design. Therefore semantic processing and inter- pretation of shapes and surfaces in CAD environments is an important problem. In this paper, we outline our architecture which integrates Knowledge Management and shape geometry for the purposes of cataloging, archiving and querying shapes. Unlike previous work, in our framework the textual annotation and geometry are closely integrated. We use domain knowledge encoded in a knowledge base to infer the geometric context of individual design elements and use this information to better analyze the corresponding shape. Our proposed architecture could be adapted in CAD applications where there is a well understood conceptual layering of the product assembly and the individual components are of similar geometry.
Semantic Information Management (SIM) shows increasing promise for helping enable interoperability between organisations. SIM is being approached on a number of levels, including the underlying ontology management tools, new development methodologies and application-level initiatives. This paper presents SIM from an e-business perspective and maps out a series of ontology-based initiatives to create industry-specific data languages. Using an e-business scenario as an example, this paper discusses the shortcomings of the industry-specific approaches and shows how a broader SIM architectural approach brings us closer to the goal of seamless interoperability.
