CiteSpace is a freely available Java application for analyzing and visualizing scientific literature. CiteSpace is expanding its scope to include additional data sources such as summaries of NSF awards. Click here for a direct WebStart, or downloading the package.
The Open Knowledge Definition (OKD) sets out principles to define the 'open' in open knowledge. The term knowledge is used broadly and it includes all forms of data, content such as music, films or books as well any other type of information.
In the simplest form the definition can be summed up in the statement that "A piece of knowledge is open if you are free to use, reuse, and redistribute it".
Gerd Stumme is Full Professor of Computer Science. He is leading the Hertie Chair on Knowledge and Data Engineering at the University of Kassel, and full member of the Research Center L3S. Gerd Stumme earned his PhD in 1997 at Darmstadt University of Technology, and his Habilitation at the Institute AIFB of the University of Karlsruhe in 2002. In 1999/2000 he was Visiting Professor at the University of Clermont-Ferrand, France, and Substitute Professor for Machine Learning and Knowledge Discovery at the University of Magdeburg in 2003. Gerd Stumme published over 80 articles at national and international conferences and in journals, and chaired several workshops and conferences. He is member in the Editorial Boards of the Intl. Journal on Data Warehousing and Mining and of the International Conference on Conceptual Structures, and was also member of several conference and workshop Program Committees. Gerd Stumme is leading and led several national and European projects. The research group is running the social bookmark and publication sharing system BibSonomy.
As part of the Heritage Connector project we've built a knowledge graph from the Science Museum Group and V&A collections using machine learning techniques.
This is an experimental interface designed to let you explore the connections in this knowledge graph, in a way that feels familiar.
* How can a computer accumulate a massive body of knowledge?
* What will Web search engines look like in ten years?
To address these questions, the KnowItAll project has been developing a variety of domain-independent systems that extract information from the Web in an autonomous, scalable manner.
The KnowItAll project has been sponsored in part by federal research grants from the National Science Foundation and the Office of Naval Research.
The Open Definition makes precise the meaning of “open” with respect to knowledge, promoting a robust commons in which anyone may participate, and interoperability is maximized.
I'm a researcher at Forschungszentrum L3S where I work for the NEPOMUK EU project.
My research focus is on integration of algorithms for community detection, ranking and recommendations into folksonomy systems. Our system BibSonomy will be used as basis for the results. The overall goal is to enhance the Social Semantic Desktop, which we aim to build in the NEPOMUK project, with these algorithms. 'm a researcher at Forschungszentrum L3S where I work for the NEPOMUK EU project.
My research focus is on integration of algorithms for community detection, ranking and recommendations into folksonomy systems. Our system BibSonomy will be used as basis for the results. The overall goal is to enhance the Social Semantic Desktop, which we aim to build in the NEPOMUK project, with these algorithms.
This diagram depicts a spectrum of information sharing capabilities. Moving from lower right to upper left of the diagram, we see that more expressive forms of metadata and semantic modeling encompass the simpler forms, and extend their capabilities. From
This diagram depicts a spectrum of information sharing capabilities. Moving from lower right to upper left of the diagram, we see that more expressive forms of metadata and semantic modeling encompass the simpler forms, and extend their capabilities. From
Infoenthusiasts may exult in the sheer volume of raw data, & just as industrial revolution society learned how to process a glut of "atoms," we must now learn how to process this glut of "information."
M. Atzmueller, S. Beer, und F. Puppe. Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted, Seite 372-377. AAAI Press, (2009)
M. Atzmueller, S. Beer, und F. Puppe. Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted, Seite 372-377. AAAI Press, (2009)
