Open Government Data Data.gov Data.gov Open data An introductory overview of Linked Open Data in the context of cultural institutions. Clear labeling of the licensing terms is a key component of Open data, and icons like the one pictured here are being used for that purpose. Overview[edit] The concept of open data is not new; but a formalized definition is relatively new—the primary such formalization being that in the Open Definition which can be summarized in the statement that "A piece of data is open if anyone is free to use, reuse, and redistribute it — subject only, at most, to the requirement to attribute and/or share-alike Open data is often focused on non-textual material[citation needed] such as maps, genomes, connectomes, chemical compounds, mathematical and scientific formulae, medical data and practice, bioscience and biodiversity. A typical depiction of the need for open data: Creators of data often do not consider the need to state the conditions of ownership, licensing and re-use. I want my data back. Closed data[edit]
COMET Welcome to the CoMET website CoMET is a programme of international railway benchmarking. It is made up of a consortium of large metro systems from around the world - Beijing, Berlin, Guangzhou, Hong Kong, London, Mexico City, Madrid, Moscow, New York, Paris, Santiago, Shanghai, Sao Paulo and Taipei. The four main objectives of CoMET are: 1. 2. 3. 4. All the group’s activities are determined by the member organisations. All CoMET Benchmarking Group activities are carried out within a framework of confidentiality. 5 of the Best Free and Open Source Data Mining Software The process of extracting patterns from data is called data mining. It is recognized as an essential tool by modern business since it is able to convert data into business intelligence thus giving an informational edge. At present, it is widely used in profiling practices, like surveillance, marketing, scientific discovery, and fraud detection. There are four kinds of tasks that are normally involve in Data mining: * Classification - the task of generalizing familiar structure to employ to new data* Clustering - the task of finding groups and structures in the data that are in some way or another the same, without using noted structures in the data.* Association rule learning - Looks for relationships between variables.* Regression - Aims to find a function that models the data with the slightest error. For those of you who are looking for some data mining tools, here are five of the best open-source data mining software that you could get for free: Orange RapidMiner Weka JHepWork
United Nations Economic and Social Commission for Asia and the Pacific YAGO - D5: Databases and Information Systems (Max-Planck-Institut für Informatik) Overview YAGO is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames. Currently, YAGO has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities. YAGO is special in several ways: The accuracy of YAGO has been manually evaluated, proving a confirmed accuracy of 95%. YAGO is developed jointly with the DBWeb group at Télécom ParisTech University.
ited Nations Statistics Division New York, 1 June 2016 - The chair of the Statistical Commission, Ms. Wasmalia Bivar of Brazil, addressed the Economic and Social Council (ECOSOC) on 1 June during its Coordination and Management Meeting. Ms. Bivar, who provided her briefing by videolink, informed the Council that the Statistical Commission at its last session in March had agreed “as a practical starting point” on a global indicator framework, which had been developed by the Inter-agency and Expert Group on Sustainable Development Goal Indicators (IAEG-SDGs). She also informed the Council of the recent work of the High-level Group for Partnership, Coordination and Capacity-Building for statistics for the 2030 Agenda for Sustainable Development and the plans for a first UN World Data Forum to be held in Capetown, South Africa, in January 2017. The presentation (English, Spanish) was followed by a short Q&A session.
YAGO-NAGA - D5: Databases and Information Systems (Max-Planck-Institut für Informatik) AIDA is a method, implemented in an online tool, for disambiguating mentions of named entities that occur in natural-language text or Web tables. AMIE (Association Rule Mining under Incomplete Evidence in Ontological Knowledge Bases) is a joint project with the Ontologies group. ANGIE is an active knowledge system for interactive exploration. DEANNA is a framework for natural language question answering over structured knowledge bases. HYENA is a multi-label classifier for entity types based on hierarchical taxonomies derived from YAGO2. Javatools The Javatools are a suite of Java classes for a variety of small tasks, such as parsing, database interaction or file handling. Knowledge Kaleidoscope Gathering and ranking photos of named entities with high precision, high recall, and diversity. LEILA was the predecessor of SOFIE. NAGA is a new semantic search engine supporting keyword search for the casual user as well as graph queries with regular expressions for the expert user.
UNdata