VOGCLUSTERS: an example of DAME web application by Marco Castellani, Massimo Brescia, Ettore Mancini, Luca Pellecchia, and Giuseppe Longo.
Abstract:
We present the alpha release of the VOGCLUSTERS web application, specialized for data and text mining on globular clusters. It is one of the web2.0 technology based services of Data Mining & Exploration (DAME) Program, devoted to mine and explore heterogeneous information related to globular clusters data.
VOGCLUSTERS (The alpha website.)
From the webpage:
This page is the entry point to the VOGCLUSTERS Web Application (alpha release) specialized for data and text mining on globular clusters. It is a toolset of DAME Program to manage and explore GC data in various formats.
In this page the users can obtain news, documentation and technical support about the web application.
The goal of the project VOGCLUSTERS is the design and development of a web application specialized in the data and text mining activities for astronomical archives related to globular clusters. Main services are employed for the simple and quick navigation in the archives (uniformed under VO standards and constraints) and their manipulation to correlate and integrate internal scientific information. The project has not to be intended as a straightforward website for the globular clusters, but as a web application. A website usually refers to the front-end interface through which the public interact with your information online. Websites are typically informational in nature with a limited amount of advanced functionality. Simple websites consist primarily of static content where the data displayed is the same for every visitor and content changes are infrequent. More advanced websites may have management and interactive content. A web application, or equivalently Rich Internet Application (RIA) usually includes a website component but features additional advanced functionality to replace or enhance existing processes. The interface design objective behind a web application is to simulate the intuitive, immediate interaction a user experiences with a desktop application.
Note the use of DAME as a foundation to “…manage and explore GC data in various formats.”
Just in case you are unaware, astronomy/radio astronomy, along with High Energy Physics (HEP) were the original big data.
If you have an interest in astronomy, this would be a good project to follow and perhaps to suggest topic map techniques.
Effective marketing of topic maps requires more than writing papers and hoping that someone reads them. Invest your time and effort into a project, then suggest (appropriately) the use of topic maps. You and your proposal will have more credibility that way.