KMi Seminars
The Concern Manipulation Environment
This event took place on Thursday 17 November 2005 at 11:00

Harold Ossher IBM Thomas J. Watson Research Centre, Hawthorne, New York, USA

The Concern Manipulation Environment (CME) is an Eclipse open-source project aimed at supporting aspect-oriented software development across the software lifecycle. It supports working with concerns, including crosscutting concerns, as first-class entities that occur within and across artifacts of different kinds. Current CME tools support querying software, defining concerns based on queries, modeling concerns, navigating and visualizing software from multiple points of view based on concerns, and composing aspects and other concerns. Java and Ant artifacts are currently supported, and the architecture is designed to facilitate addition of new kinds of artifacts.

A key goal of the CME is to serve as an integrating platform for multiple contributors and AOSD approaches. This will allow developers to leverage the respective benefits of various approaches, and aid researchers in developing and experimenting with new approaches. The CME includes, as one of these approaches, the next stage of research and development on multi-dimensional separation of concerns and Hyper/J.

In this talk I will discuss the use of concerns across the software lifecycle, demonstrate some of the CME tools, and give a brief overview of the architecture of the CME. I will then focus on the support for composition, including recently-added support for high-level, Hyper/J-like composition.

Related Links:
Concern Manipulation Environment (CME)
Aspect-Oriented Software Development (AOSD)

 
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Multimedia and Information Systems is...


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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