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)
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)
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
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Knowledge ServicesSocial Software
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Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
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