Tomasz Kluza

Publications (7) View all

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  Available from: Tomasz Kluza

  Conference Proceeding: Agroontology.com – Internet-based Knowledge Center (IKC) as an implementation of the Semantic Web Knowledge Representation (KR) standards within the sample domain of grain drying process

  Kluza T, Weres J
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  ABSTRACT: In this paper we describe possible model of Knowledge Representation (KR), its implementation and use case scenarios, based on the Semantic Web foundation, for architecture design of Decision Support System (DSS) for grain drying process. During the creation of the KR model we have considered key knowledge bottle necks for various aspects of the grain drying process, especially when the architecture's design should incorporate the existing WWW resources from various domain experts.
  Smart AgriMatics 2012 International Conference, Paris, France; 06/2012
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  Available from: Tomasz Kluza

  Conference Proceeding: The complexity of ontologies in Semantic Web Based Expert System for grain drying

  Nowak P, Kluza T, Weres J
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  ABSTRACT: We describe problems in the design of Semantic Web based expert system for grain drying, resulting from the variety of data needed. While building the system, we have to combine already existing ontologies with ones that we create from scratch. During drying processes farmers encounter many problems. They have to choose between wide range of big, stationary and efficient dryers (also quite expensive) and cheaper, movable types of dryers, that can be taken to the field and work directly on site. Many types of dryers and kinds of parameters taken during drying processes enforce the need to create a set of combined ontologies.
  4th International SWAT4LS Workshop, London, UK; 12/2011
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  Available from: Tomasz Kluza

  Conference Proceeding: Information system for analyzing, designing and managing drying and storage of cereal grains

  Weres J, Kujawa S, Kluza T
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  ABSTRACT: An integrated information system was developed to support analysis, design and management of drying and storage of agricultural products, in particular – cereal grains. The system was composed of six modules dedicated respectively to: 1) 3D geometry data acquiring for investigated objects, based on a developed image analysis system, 2) simulating grain kernel drying, based on developed finite element inverse and direct models, 3) visualizing 3D models of investigated objects and presenting temperature and moisture content changes in time and space, 4) managing databases related to cereal grain drying, 5) computing drying air properties, simulating technological processes of drying and estimating performance of various drying systems and driers, and 6) selecting appropriate equipment and conditions for drying cereal grains, based on a developed decision support system. The problem domain was analyzed according to the UML 2.0 standards, the software was implemented in C++/CLI and C#, and the system was statically and dynamically tested on a basis of appropriately designed test cases.
  EFITA/WCCA 2007 Conference, Glasgow, Scotland; 07/2008
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  Available from: Tomasz Kluza

  Conference Proceeding: Advances in developing Web-based DSS architecture for designing and managing cereal grain drying and storage

  Tomasz Kluza, Przemysław Nowak, Jerzy Weres
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  ABSTRACT: In this paper we describe possible improvements within the key areas of Web-based DSS architectures for cereal grain drying and storage: Knowledge Representation (KR), its implementation within the reasoning layer and possible software consumers. The improvements are based on the Semantic Web foundation and the usage of Open Source projects.
  CIGR-Ageng2012 International Conference of Agricultural Engineering; 07/2012
• Conference Proceeding: The ontology based decision support model and scenarios for grain drying processes

  Tomasz Kluza, Nowak P, Weres J
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  ABSTRACT: In this paper, we describe the model and scenarios, based on the Semantic Web foundation, for decision support system (dss) for grain drying processes. During the creation of the dss model we have considered key knowledge bottle necks for various aspects of the grain drying process, especially when someone is trying to incorporate the WWW resources during the architecture design of such model.
  4th International SWAT4LS Workshop Semantic web applications and tools for life sciences; 12/2011