van Rees R
Clarity in the usage of the terms ontology, taxonomy and classification
Abstract: There is a lack of clarity when discussing the following three terms: classifications, taxonomies and ontologies. A general cause of confusion is caused by a trend, observed at a recent conference, to use the most fashionable of the three terms: "ontology", without further qualifications. This lack of clarity prompted the writing of this paper with the aim of clarifying the terminology used. A detailed extract from all relevant papers of the EBEW-conference 2001 on the use of the three terms was made to provide a quantification of the usage of the three terms. The recommendation by the author is to make a specific choice of label ("ontology", "taxonomy" or "classification") for your dataset and to provide further qualification on top of that label to remove ambiguity.
Full text: content.pdf (167,157 bytes) (available to registered users only)
Permission to reproduce these papers has been graciously provided by the University of Auckland. The assistance of the editor who provided the full texts and the structured metadata, Dr. Robert Amor, is gratefully appreciated.
X Liu, B Akinci, J H Garrett, M Bergés
Requirements and Development of A Computerized Approach for Analyzing Functional Information of HVAC Components Using Building Information Models
Abstract: Heating, ventilating and air conditioning (HVAC) systems account for about 40% of the energy consumed in buildings. They directly control the indoor air quality and determine occupant comfort. Therefore, correct operation of HVAC systems is critical for ensuring the normal functions of the buildings. Due to the continued increase in their complexity, manual operation and maintenance of the HVAC systems has become more and more difficult. Computerized approaches, such as Fault detection and diagnosis and automated commissioning approaches, have been proposed to automate this process. These approaches use data from the HVAC systems and building context and provide information about the performance of the systems to the operator. However, the existing information standards, such as Industry Foundation Classes (IFC) and AEX cfiXML, mainly represent the geometric information and categories of the HVAC components. One important type of information that is missing is the functional relationships of the HVAC components. Functional relationships represent how different HVAC components work together to serve the functions of the system. For example, a sensor that monitors the temperature of a space is functionally related to the Variable Air Volume (VAV) box that controls the temperature of the same space. Therefore, functional relationships are needed by the HVAC system operator to reason about and adjust their configuration. The objective of the presented work is to develop a computerized approach that can automatically analyse the functional relationships of HVAC components using the available information from the existing Building Information Models (BIM). This includes the exploration of needed functional relationships of HVAC components, the classifications of functionalities of HVAC equipment and components, the development of a functional taxonomy of HVAC components, and the implementation of a prototype system for analysing the functional relationships. The primary result of the presented work is the development of an extensible computerized approach that can automatically reason about the functional relationships of typical HVAC components using information from BIM.
Keywords: Information Models Analysis, Building Information Modeling, Functional Information, HVAC Systems Modeling.
Full text: content.pdf (446,527 bytes) (available to registered users only)