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.
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.
Wiki: A wiki is a website that uses wiki software, allowing the easy creation and editing of any number of interlinked (often databased) Web pages, using a simplified markup language. Wikis are often used to create collaborative...
This began on March 25, 1995. A little later (May 1, 1995), an InvitationToThePatternsList caused an increase in participation. Growth has continued since then, to the point where the average number of new pages ranges between 5 and 12 per day.
A wiki is a collection of Web pages designed to enable anyone with access to contribute or modify content, using a simplified markup language.[1][2] Wikis are often used to create collaborative websites and to power community websites. The collaborative encyclopedia Wikipedia is one of the best-known wikis.[2] Wikis are used in business to provide intranet and knowledge management systems. Ward Cunningham, the developer of the first wiki software, WikiWikiWeb, originally described it as "the simplest online database that could possibly work."[3]
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.
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.
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.
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".
* 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.
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."
Powerful Search Engine designed for Document Management, Competitive Intelligence, Press Analysis and Text Mining, Web Mining, Knowledge Discovery, Strategic Watch...Has Report Writer, Web Spider, Publisher, more...
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