weka - home GGobi data visualization system. Rada Mihalcea: Downloads downloads [see also the research page for related information] Various software modules and data sets that are/were used in my research. For any questions regarding the content of this page, please contact Rada Mihalcea, rada at cs.unt.edu new Efficient Indexer for the Google Web 1T Ngram corpus new Wikipedia Interlingual Links Evaluation Dataset new Sentiment Lexicons in Spanish Measuring the Semantic Relatedness between Words and Images Text Mining for Automatic Image Tagging Learning to Identify Educational Materials (LIEM) Cross-Lingual Semantic Relatedness (CLSR) Data for Automatic Short Answer Grading Multilingual Subjectivity Analysis: Gold Standard and Training Data GWSD: Graph-based Unsupervised Word Sense Disambiguation Affective Text: data annotated for emotions and polarity SenseLearner: all words word sense disambiguation tool Benchmark for the evaluation of back-of-the-book indexing systems FrameNet - WordNet verb sense mapping Resources and Tools for Romanian NLP TWA sense tagged data set
Home - SCaVis Freedom to choose a programming language. Freedom to choose an operating system. Freedom to share your code. Supported programming languages SCaVis can be used with several scripting languages for the Java platform, such as BeanShell, Jython (the Python programming language), Groovy and JRuby (Ruby programming language). Supported platforms SCaVis runs on Windows, Linux, Mac and Android operating systems. SCaVis is a successor of the popular jHepWork package which has been under intensive development since 2005.
BabelNet BabelNet is a multilingual semantic network obtained as an integration of WordNet and Wikipedia. Statistics of BabelNet[edit] As of October 2013[update], BabelNet (version 2.0) covers 50 languages, including all European languages, most Asian languages, and even Latin. BabelNet 2.0 contains more than 9 million synsets and about 50 million word senses (regardless of their language). Each Babel synset contains 5.5 synonyms, i.e., word senses, on average, in any language. Applications[edit] BabelNet has been shown to enable multilingual Natural Language Processing applications. See also[edit] References[edit] Jump up ^ R. External links[edit]
The R Project for Statistical Computing Academic Video Search Robert H. Goddard was born in Worcester, Massachusetts to Nahum Danford Goddard, a businessman, and Fannie Hoyt Goddard. Early in life, young Robert suffered from pulmonary tuberculosis which kept him out of school for long periods of time. After graduating from school, Robert Goddard applied and was accepted at Worcester Polytechnic Institute. Unfortunately, in early 1913, Goddard became seriously ill with tuberculosis, and had to leave his position at Princeton. Goddard's thoughts on space flight started to emerge in 1915, when he theorized that a rocket would work in a vacuum, and didn't need to push against air in order to fly. Goddard turned his attention to the components of his rockets. Powder rockets were still problematic. Indeed, the flight of Goddard’s rocket on March 16, 1926, at Auburn, Mass., was as significant to history as that of the Wright brothers at Kitty Hawk. References and Further Reading: For more interesting articles join the Yovisto Blog:
dbpedia « Griff's Graphs First of all, thanks very much for the feedback you all gave me on my graph of ideas. I wasn’t quite aware of how many people are interested in this sort of stuff. I now have lots of great ideas for new projects which will keep me busy for a long while. I must say making the graphs is the easy part – it is obtaining the data which takes time. I’ve made a note of all of your suggestions and will try to create something out of them soon. If you haven’t already, you can submit an idea here. Housekeeping There were a great number of comments about my last graph and so I’ll try to answer the main questions here. “It is way too biased towards Western ideas.” – Yes, see point one of the original blog post. “Where are all of the musicians and artists?” “The title is very misleading.”– The original post had an asterisk on the word ‘every’ which was meant to highlight the fact the graph had caveats. Now that is out-of-the-way, I’d like to present my latest work. Network: Graph Of Ideas vs. Caveats
Silk - A Link Discovery Framework for the Web of Data The Silk framework is a tool for discovering relationships between data items within different Linked Data sources. Data publishers can use Silk to set RDF links from their data sources to other data sources on the Web. News 2014-02-21: Version 2.6 released including a new version of the Silk Workbench that offers a REST API and a Plugin System. Contents About Silk The Web of Data is built upon two simple ideas: First, to employ the RDF data model to publish structured data on the Web. The Silk Link Discovery Framework supports data publishers in accomplishing the second task. Silk can be used through the Silk Workbench graphical user interface or from the command line. Silk Workbench Silk Workbench is a web application which guides the user through the process of interlinking different data sources. Silk Workbench offers the following features: It enables the user to manage different sets of data sources and linking tasks. Silk Command Line Applications Silk Free Text Preprocessor Support
Semantic Web Case Studies and Use Cases Case studies include descriptions of systems that have been deployed within an organization, and are now being used within a production environment. Use cases include examples where an organization has built a prototype system, but it is not currently being used by business functions. The list is updated regularly, as new entries are submitted to W3C. There is also an RSS1.0 feed that you can use to keep track of new submissions. Please, consult the separate submission page if you are interested in submitting a new use case or case study to be added to this list. (), by , , Activity area:Application area of SW technologies:SW technologies used:SW technology benefits: A short overview of the use cases and case studies is available as a slide presentation in Open Document Format and in PDF formats.
C Linked Data Platform Working Group Charter The mission of the Linked Data Platform (LDP) Working Group is to produce a W3C Recommendation for HTTP-based (RESTful) application integration patterns using read/write Linked Data. This work will benefit both small-scale in-browser applications (WebApps) and large-scale Enterprise Application Integration (EAI) efforts. It will complement SPARQL and will be compatible with standards for publishing Linked Data, bringing the data integration features of RDF to RESTful, data-oriented software development. Introduction This group is based on the idea of combining two Web-related concepts to help solve some of the long-standing challenges involved in building and combining software: RDF, the Resource Description Framework, is a W3C Recommended general technique for conveying information. The Linked Data Platform is envisioned as an enterprise-ready collection of standard techniques and services based on using RESTful APIs and the W3C Semantic Web stack. Scope Technical Issues Deliverables