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Tech Report kmi-01-10 Abstract


Towards a Logical Framework for Sequential Design
Techreport ID: kmi-01-10
Date: 2001
Author(s): Martin Dzbor and Zdenek Zdrahal
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Engineering design is usually seen as a knowledge-intensive process that driven by certain objectives eventually delivers an artefact having the desired properties or functions. Design is inherently iterative and the design goals evolve together with the solutions. Many current design theories present more or less efficient ways for finding a suitable solution to the given goals. However, they often leave open the question of the 'solution talkback'. Under 'solution talkback' we understand the reasoning process that is able to infer what formal amendments to the initial design specification need to be made in order to produce a feasible solution. Modified explicit design specification would in turn enable designers to refine the solutions to their design problems. This paper suggests an early-stage theory that incorporates some typical features of design problems, and defines a reasoning framework for the reflection on the actions in design. First, the key terms are defined that are elaborated later with the focus on generation of new design goals through the reflection on the partial design solutions.

Publication(s):

13th Conference on Design Theory and Methodology (part of ASME Design Engineering Technical Conferences), September 2001, Pittsburgh, USA
 
KMi Publications Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

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Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

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