Sentence examples for knowledge model for from inspiring English sources

A development method together with a knowledge model for automating fixture design is proposed.

An ontology knowledge model for KPIs and Lean rules is proposed to support the CSA.

The three main contributions of this work are: first, the creation of a conceptual knowledge model for describing anti-fraud rules and their relationships; second, the development of semantic rules as conflict-resolution methods for anti-fraud expert systems; third, experimental facts are gathered to evaluate and validate the proposed model.

These data are mapped to a smart-city ontology, called KM4City (Knowledge Model for City), and stored into an RDF-Store where they are available for applications via SPARQL queries to provide new services to the users via specific applications of public administration and enterprises.

The three objectives of the study are creating a conceptual knowledge model for describing supply partners and their relationships, developing semantic rules as problem-solving methods for partner tracing in response to research questions and gathering experimental facts for evaluating knowledge-intensive designs.

We adopted the common knowledge acquisition and design system (CommonKADS) methodology to develop a comprehensive process and knowledge model for breast cancer MDMs.

Semantic Web based knowledge modeling for innovative design is proposed as prelude to the meaningful agent communication and knowledge reuse for collaborative work among multidisciplinary organizations.

In this work, an ontological framework is built as a mechanism for exchanging information and knowledge models for multiple applications and effective integration between the different hierarchical levels.

This paper describes the use of interviewing techniques to understand problem solving and the development of knowledge models for automated constructability assessment.

To our knowledge, models for predicting the risk of diarrhea and rash in breast cancer patients receiving small molecule targeted therapies such as lapatinib have not been previously described.

Additionally, as the RCA methodology is based on the causal knowledge modeled for each gene expression change that is linked to underlying literature knowledge of each transcript/protein, therefore expression changes where such information is sparse are less likely to contribute significantly to the causal model.