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The Semantic Measures Library (SML) is an open source Java library dedicated to semantic measures computation and analysis. Tools based on the SML are also provided through the SML-Toolkit, a command line software giving access to some of the functionalities of the library.

The primary goal of the project is to construct an ontology that will model Idea Management Systems. However, we also devote to study in detail the appliance of the data schema onto existing systems and exploiting it to achieve real, measurable benefits.

This viewer shows how information about thousands of object and action categories is represented across human neocortex. The data come from brain activity measurements made using fMRI while a participant watched hours of movie trailers.

"HOBBIT aims at abolishing the barriers in the adoption and deployment of Big Linked Data by European companies, by means of open benchmarking reports that allow them to assess the fitness of existing solutions for their purposes. These benchmarks are based on data that reflects reality and measures industry-relevant Key Performance Indicators (KPIs) with comparable results using standardized hardware."

The implementation is based on the TERRIER information retrieval framework and supports the following features: build an inverted index of a Wikipedia Database provided in the original MediaWiki database schema compute ESA vectors for any text compute Cosine Similarity of ESA vectors (which can be used as semantic similarity measure)

WikipediaMiner is a toolkit for tapping the rich semantics encoded within Wikipedia. It makes it easy to integrate Wikipedia's knowledge into your own applications, by: providing simplified, object-oriented access to Wikipedia's structure and content. measuring how terms and concepts in Wikipedia are connected to each other. detecting and disambiguating Wikipedia topics when they are mentioned in documents.

We track 200+ high volume securities from all News and Social Media sources. We measure mood/psychology for each security... First in the world! We display mood swings (blue curves) and show how mood is changing ahead of price data.

This project, the Semantically-Enabled Science Data Integration (SESDI), will demonstrate how ontologies implemented within existing distributed technology frameworks will provide essential, re-useable, and robust, support for an evolution to science measurement processing systems (or frameworks) as well as for data and information systems (or framework) support for NASA Science Focus Areas and Applications.

Freebase contains at this time of writing more than 10 million topics, more than 3000 types, and more than 30,000 properties. This is not a small database by any measure. If you were to think of it in terms of relational databases, it is probably the database with the most number of relational tables (3000+ types), and the most number of table columns (30,000+ properties).

The British National Bibliography (BNB) records the publishing activity of the United Kingdon and the Republic of Ireland and is such a measure of their intellectual output. This has traditionally included printed publications and more recently has been extended to electronic publications following the extension of legal deposit to this class of material in 2003.

"HOBBIT aims at abolishing the barriers in the adoption and deployment of Big Linked Data by European companies, by means of open benchmarking reports that allow them to assess the fitness of existing solutions for their purposes. These benchmarks are based on data that reflects reality and measures industry-relevant Key Performance Indicators (KPIs) with comparable results using standardized hardware."

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