Data integration for offshore decommissioning waste management

Offshore decommissioning represents significant business opportunities for oil and gas service companies. However, for owners of offshore assets and regulators, it is a liability because of the associated costs. One way of mitigating decommissioning costs is through the sales and reuse of decommissioned items. To achieve this effectively, reliability assessment of decommissioned items is required. Such an assessment relies on data collected on the various items over the lifecycle of an engineering asset. Considering that offshore platforms have a design life of about 25 years and data management techniques and tools are constantly evolving, data captured about items to be decommissioned will be in varying forms. In addition, considering the many stakeholders involved with a facility over its lifecycle, information representation of the items will have variations. These challenges make data integration difficult. As a result, this research developed a data integration framework that makes use of Semantic Web technologies and ISO 15926 - a standard for process plant data integration - for rapid assessment of decommissioned items. The proposed solution helps in determining the reuse potential of decommissioned items, which can save on cost and benefit the environment

Emotional face expression profiles supported by virtual human ontology

Ex~~ressivefncial piiinintiun syntliesis of lrirrnnn like clrnracfers Itds had nrairy approach~s ruitli good recults. MIJEG-4 standard hnsfiinctioned ras flie Iirasis ofrnany of fhose appronches. in this paper 7ue rvorrlrf like fo Iay orit t1w kno~ulerlge of sonie of those npproncl1es inside nn antoloffy in orrirr to siipport tlie inodeling of ewiotiol~al fncial anirnntioil in virfufl~l hirmnns (L'H). Incide this ontology 7ue rtiill pres~nt MPEG-4 facial animafioii conccpfs atd ifs relntionsliip uiit11 ernofioii througlr eqression profiles tlint ufiIize psychological models of cmotiorts. Thc ontology allo.ros staring, indexing annd rttrieviig prerccordpd synt!~etic fcicinl niiiinnfionc that cnii eq?wss P given emotion. Also this ontology cnn be irsed a refined kiroroledge brisp in regarclc to fhe emotional fncinl nriilsiation creritiorr. This oprfologtt is made risitlg Weli Ontalogy Langunge and the results arr prcserited as n?iswered querirs. Cop!yri$rf O 2006 Joltii Wilcy 15 Soirs, Ltd

Exploiting unified modelling language (UML) as a preliminary design tool for Common Logic-based ontologies in manufacturing

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Computer Integrated Manufacturing on 08/06/2012, available online: http://dx.doi.org/10.1080/0951192X.2012.688142.This paper proposes a particular method which utilises the unified modelling language (UML) as a design visualisation tool for modelling ontologies based on the Common Logic knowledge representation language. The use of this method will enable Common Logic ontological concepts to be more readily accessible to general engineers and provide a valuable ontology design aid. The method proposed is explored using the knowledge frame language (KFL) which provides constructs to facilitate ontology building and is built on Common Logic. The major constructs of KFL are briefly defined and a description of how each construct may be represented in UML is given. Examples are presented showing how the constructs may be modelled in UML and a Common Logic-based implementation founded on a UML design is illustrated and discussed. The manufacturing domain is utilised as an experimental basis for demonstrating the proposed method