Jump to Navigation

Data Analysis

BIG Partner AGT International and Crowd Control Management

The Urban Shield Safe City solution of AGT International, a partner in the BIG project, has been featured  on Big Data Startups as part of a crowd control management solution in the city of Enschede.

The system has been deployed during the Dutch radio station 3FM event, an annual benefit project that collects money for charity. According to Big Data Startups, over 6 days around 500,000 visitors came to the centre of Enschede. The objective was to support the police and other first responders with safety and security solutions during the event and to showcase the city’s leading and innovative approach towards meeting these requirements.

The image above shows the Urban Shield system that “provides a real-time situational awareness overview of a complete area within a city. This system is based on a Geographical Information System and uses GPS to show the real-time location of all first responders in an area. All police officers, fire department, city security and private security guards who are part of the system are shown on a map. Based upon a situation that is noticed via the cameras on the street or via Twitcident the closest first responder can be alerted and he or she can take immediate action” AGT Press Release.

Further information are available at: AGT International and Big Data Startups




Big Data Analysis Interview with Steve Harris Chief Technology Officer at Garlik, an Experian Company


Check new Big Data Analysis Interview with Steve Harris, Chief Technology Officer at Garlik, an Experian Company available in the following formats:

The company that Steve is associated with has as its main focus the prediction and detection of financial fraud through the use of their customised RDF store and SPARQL. They harvest several terabytes of raw data from chat-rooms and forums associated with hackers and generate around 1B RDF triples based on this. In terms of areas that need work Steve's suggestion was the optimisation of the the performance of these stores. We also discussed the need to make sure that the infrastructure was economically viable and that training of staff to use RDF/SPARQL was not a big issue.

Steve Harris is a lead design and development of a multi million user product in the financial services industry at Garlik, Experian Company. In the Semantic Web community, he is widely regarded as the architect of Garlik's open source, scalable RDF platform, 5store, and has served on the World Wide Web Consortium (W3C) working groups that defined the SPARQL query [1].

Big Data Analysis Interview with Ricardo Baeza-Yates VP of Research for Europe and Latin America at Yahoo!

Ricardo Baeza-Yates

Check out new Big Data analysis interview with Ricardo Baeza-Yates, VP of Research for Europe and Latin America at Yahoo!



The main suggested themes to invest in by Ricardo are:

a) what he called Hadoop++ the ability to handle graphs with trillions of edges as MapReduce doesn't scale well for graphs; and b) stream data mining - the ability to handle streams of large volumes of data. Handling lots of data in a 'reasonable' amount of time is key for Ricardo - for example, being able to carry out offline computations within a week rather than a year.

Additional point of interest of Ricardo was personalisation and its relation to privacy. Rather than personalising based on user data we should personalise around user tasks. More details in the interview!

Ricardo Baeza-Yates is VP of Research for Europe and Latin America, leading the Yahoo! Research labs at Barcelona, Spain and Santiago, Chile, and also supervising the lab in Haifa, Israel. Until 2005 he was the director of the Center for Web Research at the Department of Computer Science of the Engineering School  of the University of Chile; and ICREA Professor and founder of the Web Research Group at the Dept. of Information and Communication Technologies of Universitat Pompeu Fabra in Barcelona, Spain [1].

Big Data Analysis Interview with Bill Thompson

Big Data Analysis Interview with Bill Thompson, head of the Partnership Development Archive BBC is now available!


According to Bill Thompson, the term Big Data as a general label is to be viewed sceptically, as to his mind there is nothing fundamentally new in computer science terms.However, he does agree that there are certain technologies that should be invested in. Especially the EU should invest from a public service point of view to counteract large companies that will focus purely on areas for profit. 
He also provided two UK-related analogies that should be avoided:  Firstly, UK schools having to suffer in computer science education because MS Office was adopted and secondly big pharma not investing in cures for Malaria.
Furthermore, he thinks that it is very important that the EU invests from a public service point of view to counteract the big companies that will focus purely on areas for profit. He gave 2 analogies that we might want to avoid: UK schools having to suffer in computer science education because MS Office was adopted; and big pharma not investing in cures for Malaria. 
Bill Thompson, Head of the Partnership Development within the BBC Archives Development group, is an English technology journalist, commentator and writer, best known for his weekly column in the Technology section of BBC News Online and his appearances on Click, a radio show on the BBC World Service


Big Data Analysis Interview with Peter Mika, Senior Scientist at Yahoo! Research Labs in Barcelona

New Big Data analysis interview with Peter Mika is out:

Within the standard interface

As an MP3 audio file

As a small video-only window

As a large video window with ability to jump to a specific segment

The main theme for Peter was on using a machine learning, information extraction and semantic web technologies to reduce Big Data into more manageable chunks and how combined with new programming paradigms such as Hadoop we could now accomplish more. Background knowledge (in a simple form) enables Yahoo1 to understand that "Brad Pitt Fight Club" is a search for a movie with Brad Pitt playing the role of disambiguation.

Peter Mika is a researcher working on the topic of semantic search at Yahoo Research in Barcelona, Spain. Peter also serves as a Data Architect for Yahoo Search, advising the team on issues related to knowledge representation. Peter is a frequent speaker at events, a regular contributor to the Semantic Web Gang podcast series and a blogger at tripletalk.wordpress.com [1].

Big Data Analysis Interview with Jeni Tennison, Technical Director of the Open Data Institute

Jeni Tennison

Big data analysis interview with Jeni Tennison, Technical Director of the Open Data Institute, interviewed by John Domingue is out:



Within the standard interface

As an MP3 audio file

As a small video-only window

As a large video window

Jeni discussed how open data can be found and combined to serve decision making. A key technology of interest, pointed out by Jeni, was discovery of datasets that are distributed in the internet and tools that allow achieving this in  an automated way.

Within the wider UK public sector, Jeni Tennison worked on the early linked data work on data.gov.uk, helping to engineer new standards for the publication of statistics as linked data; building APIs for geographic, transport and education data; and supporting the publication of public sector organograms as open data. She continues her work within the UK's public sector as a member of both the UK Government Linked Data Group and the Open Data User Group [1].

Big Data Analysis Interview with Prasanna Lal Das, Lead Program Officer Controllers World Bank

Big Data Analysis Interview with Prasanna Lal Das, Lead Program Officer (Knowledge & Innovation) at The World Bank is now available online:

The interview covered how he sees Big Data can help tackle poverty and proactively address corruption by support decision making based on real-time data. On behalf of  Prasanna we would like to stress out that the opinion provided in the interview and Prasanna himself should not be regarded as an expert in poverty or anti-corruption measures.

Prasanna Lal Das  is senior program officer, Office of the Controller, World Bank. He is a content strategist and KM practitioner with experience in journalism, computer games design, and management consulting. 

Big Data Analysis Interview with Usman Haque, Pachube Founder and Director Urban Projects Division COSM

Usman Haque

Check out our big data analysis interview with Usman Haque, Pachube Founder and Director Urban Projects Division COSM:

Within the standard interface

As an MP3 audio file

As a small video-only window

As a large video window

Usman mostly covered a community oriented view to Big Data Acquisition which he says is very important if citizens and communities are to fully engage with important issues in the world. Key here is the fact that the community can overcome any deficiencies (errors or heterogeneities) by creating their own specific tools.

Usman Haque has worked a lot with interactive environments over the years, founded a web platform for building internet-connected devices, buildings and environments for storing, sharing and discovering of real time sensor, energy and environmental data, known as Pachube, acquired by LogMeln in 2011. Later on, Usman took part in launching COSM.com platform where he was heading up urban projects that dealt with data, sensors and internet of things.

Big Data Analysis Interview with Alon Halevy Research Scientist at Google

Alon Halevy

Big Data Analysis Interview with Alon Halevy Research Scientist at Google is now online:

As an MP3 audio file

As a small video-only window

As a large video with ability to jump to a specific segment

Standard interface

In the interview Alon drew upon his work on Google Fusion Tables which allows users to upload and store their datasets. A collection of technologies which are not necessarily new but are now beginning to work at scale are having an impact. These include: reconciling entities (saying X and Y are the same thing), resolving schema and ontology differences, extracting high quality data from the web, large ontology based datasets (typically built from wikipedia), crowd sourcing computation. 

Alon Halevy leads the Structured Data research team at Google Research. Prior to that, Alon was a professor of Computer Science at the University of Washington, where he started  UW CSE Database Group in 1998, and worked in the field of data integration and web data.

Big Data Analysis Interview with Hjalmar Gislason

Hjalmar Gislason is the founder and CEO of DataMarket.com. In this Interview Hjalmar Gislason covers the area of Data Visualization and Data Modelling via semantics. He believes the simplicity of use to be crucial to success and that lot of technologies like the Semantic Web Stack are over engineered. According to him there is a high demand for "democratization of semantic technologies" - making everything accessible through a web browser and dealing with legacy versions of IE.

The Flashmeeting is now online at: http://fm.ea-tel.eu/fm/fmm.php?pwd=467502-32874 and the MP3 Audio file is available at: http://fm.ea-tel.eu/flashmedia/flashmeeting/fm32874_467502-32874/mp3/aud...

DataMarket helps business users find and understand data, and data providers to efficiently publish their data and reach new audiences. DataMarket.com provides access to thousands of data sets holding hundreds of millions of facts and figures from a wide range of public and private data providers including the United Nations, the World Bank, Eurostat and the Economist Intelligence Unit. The data portal allows this data to be searched, visualized, compared and downloaded in a single place in a standard, unified manner. 


Cialis sales are available on many trusted Internet sites. In humans, cialis has no effect on bleeding time when taken alone or with aspirin.

Subscribe to Data Analysis

Main menu 2

by Dr. Radut