Connection Author Date From Idea From Type From Idea Author Link Type To Idea To Type To Idea Author
John Domingue 01 Jul 2013 Steve Harris Person/Organization John Domingue specifies Steve Harris outlining how information extraction, machine learning and analytics are important for fraud detection at Experian Evidence (Interview) John Domingue
John Domingue 01 Jul 2013 Steve Harris outlining how information extraction, machine learning and analytics are important for fraud detection at Experian Supporting Evidence John Domingue supports Information Extraction, machine learning and analytics are important technologies for fraud detection Research Claim John Domingue
John Domingue 01 Jul 2013 Steve Harris Person/Organization John Domingue specifies Steve Harris saying that the technology is not so hard to understand compared to MapReduce Evidence (Interview) John Domingue
John Domingue 01 Jul 2013 Steve Harris Person/Organization John Domingue specifies Steve Harris stating that more more needs to be carried out on the optimisation of graph databases especially for RDF and SPARQL Evidence (Interview) John Domingue
John Domingue 01 Jul 2013 Steve Harris Person/Organization John Domingue specifies Steve Harris describing how Experian's Big Data services are embedded into end-user banking applications Evidence (Interview) John Domingue
John Domingue 01 Jul 2013 Steve Harris describing how Experian's Big Data services are embedded into end-user banking applications Supporting Evidence John Domingue supports Experian embedd their Big Data technologies into end-user banking services Research Claim John Domingue
John Domingue 01 Jul 2013 Experian embedd their Big Data technologies into end-user banking services Research Claim John Domingue responds to Embedding of Big Data technologies into mainstream products Requirement / Issue John Domingue
John Domingue 01 Jul 2013 Embedding of Big Data technologies into mainstream products Requirement / Issue John Domingue is related to What new or existing business models will Big Data support? Key Challenge John Domingue
John Domingue 01 Jul 2013 Steve Harris stating that more more needs to be carried out on the optimisation of graph databases especially for RDF and SPARQL Supporting Evidence John Domingue supports More work needs to be carried on the optimisation of graph databases Research Claim John Domingue
John Domingue 01 Jul 2013 Steve Harris saying that the technology is not so hard to understand compared to MapReduce Counter Evidence John Domingue challenges Linked Data technologies e.g. RDF SPARQL are overly complex and have too steep a learning curve Research Claim John Domingue
John Domingue 01 May 2013 Garlik an Experian Company Person/Organization John Domingue partnered with Steve Harris Person/Organization John Domingue
John Domingue 22 Apr 2013 Jim Hendler talking about how meta data and linked vocabularies aids in understanding data on the Web Supporting Evidence John Domingue supports Linked Data and linked vocabularies are need to support search over and integration of Web data. Research Claim John Domingue
John Domingue 21 Apr 2013 Jim Hendler Person/Organization John Domingue specifies Jim Hendler talking about the impact of open government data supported by language technologies and lightweight semantics Evidence (Interview) John Domingue
John Domingue 21 Apr 2013 Jim Hendler talking about the impact of open government data supported by language technologies and lightweight semantics Supporting Evidence John Domingue supports Open government data based on language and semantic technologies will be a platform for new businesses and economic growth Research Claim John Domingue
John Domingue 21 Apr 2013 Jim Hendler Person/Organization John Domingue specifies Jim Hendler saying how in the UK crowd sourcing helped dramatically increase the accuracy of bus stop locatons Evidence (Interview) John Domingue
John Domingue 21 Apr 2013 Jim Hendler saying how in the UK crowd sourcing helped dramatically increase the accuracy of bus stop locatons Supporting Evidence John Domingue supports Communities will be involved in Big Data Collection and Analysis Research Claim John Domingue
John Domingue 21 Apr 2013 By 2015 there will be 10 million datasets available on the Web Research Claim John Domingue responds to Broad data is the term used to describe heterogeneous data than can be integrated such as that found on the Web Requirement / Issue John Domingue
John Domingue 21 Apr 2013 Jim Hendler Person/Organization John Domingue specifies Jim Hendler talking about broad linked vocabularies and data integration and analysis Evidence (Interview) John Domingue
John Domingue 21 Apr 2013 Jim Hendler talking about broad linked vocabularies and data integration and analysis Supporting Evidence John Domingue supports By 2015 there will be 10 million datasets available on the Web Research Claim John Domingue
John Domingue 21 Apr 2013 Jim Hendler Person/Organization John Domingue specifies Jim Hendler talking about how meta data and linked vocabularies aids in understanding data on the Web Evidence (Interview) John Domingue
John Domingue 21 Apr 2013 Jim Hendler talking about how meta data and linked vocabularies aids in understanding data on the Web Supporting Evidence John Domingue supports Background knowledge aids in understanding unstructured data Research Claim John Domingue
John Domingue 19 Apr 2013 Frank van Harmelen Person/Organization John Domingue specifies Frank van Harmelen talking about approximate reasoning would be a good thing to investigate Evidence (Interview) John Domingue
John Domingue 19 Apr 2013 Frank van Harmelen talking about approximate reasoning would be a good thing to investigate Supporting Evidence John Domingue supports Approximate reasoning (choosing most important or most valuable) is worth investigating Research Claim John Domingue
John Domingue 19 Apr 2013 Frank van Harmelen talking about design principles underling inferencing systems - the tradeoff between expressivity and performance, the parallelisation of inference and online vs online inference Supporting Evidence John Domingue supports Investigating the tradeoff between online (backward) reasoning and offline (forward) reasoning needs more work Research Claim John Domingue
John Domingue 19 Apr 2013 Frank van Harmelen Person/Organization John Domingue specifies Frank van Harmelen talking about design principles underling inferencing systems - the tradeoff between expressivity and performance, the parallelisation of inference and online vs online inference Evidence (Interview) John Domingue
John Domingue 19 Apr 2013 Frank van Harmelen talking about design principles underling inferencing systems - the tradeoff between expressivity and performance, the parallelisation of inference and online vs online inference Supporting Evidence John Domingue supports Parallelisation of inference is a key current challenge Research Claim John Domingue
John Domingue 19 Apr 2013 Frank van Harmelen Person/Organization John Domingue specifies Frank van Harmelen talking about the limits of inferencing today - robustness, dynamicity and expressiveness Evidence (Interview) John Domingue
John Domingue 19 Apr 2013 Frank van Harmelen talking about the limits of inferencing today - robustness, dynamicity and expressiveness Supporting Evidence John Domingue supports Inferencing today is limited by robustness (wrt incompleteness and inconsistency), dynamicity (rapidly changing data) and expressiveness Research Claim John Domingue
John Domingue 19 Apr 2013 Frank van Harmelen Person/Organization John Domingue specifies Frank van Harmelen talking about what's new in inferencing systems today Evidence (Interview) John Domingue
John Domingue 19 Apr 2013 Frank van Harmelen talking about what's new in inferencing systems today Supporting Evidence John Domingue supports Inferencing systems today can work at the scale of thousands of millions of elements and deal with noise Technological Capability John Domingue
John Domingue 08 Apr 2013 Ricardo Baeza-Yates talking about the impact of Big Data: ensuring the survival of the Web and Internet as the numbers of users grow and on society through technologies such as Smart Cities and Grid Computing Supporting Evidence John Domingue supports Big Data will have an impact on society through its support for technologies around Smart Cities and Grid Computing Research Claim John Domingue
John Domingue 08 Apr 2013 Ricardo Baeza-Yates talking about the impact of Big Data: ensuring the survival of the Web and Internet as the numbers of users grow and on society through technologies such as Smart Cities and Grid Computing Supporting Evidence John Domingue supports Big Data will ensure the survival of the Web and Internet as the number of users and amount of associated data grows. Research Claim John Domingue
John Domingue 08 Apr 2013 Ricardo Baeza-Yates Person/Organization John Domingue specifies Ricardo Baeza-Yates talking about the impact of Big Data: ensuring the survival of the Web and Internet as the numbers of users grow and on society through technologies such as Smart Cities and Grid Computing Evidence (Interview) John Domingue
John Domingue 06 Apr 2013 Ricardo Baeza-Yates saying how he advocates personalising around the task rather than the user to overcome privacy problems Supporting Evidence John Domingue supports Personalisation around tasks rather than users would overcome some privacy problems Research Claim John Domingue
John Domingue 06 Apr 2013 Ricardo Baeza-Yates saying how Hadoop++ and stream data mining are two important technologies are important and need more research Supporting Evidence John Domingue supports Stream data mining handling data from lots of users concurrently would be very useful Technological Capability John Domingue
John Domingue 06 Apr 2013 Ricardo Baeza-Yates saying how Hadoop++ and stream data mining are two important technologies are important and need more research Supporting Evidence John Domingue supports Hadoop++ which is able to handle graph data with trillions of edges would be very useful Technological Capability John Domingue
John Domingue 06 Apr 2013 Ricardo Baeza-Yates Person/Organization John Domingue specifies Ricardo Baeza-Yates saying how Hadoop++ and stream data mining are two important technologies are important and need more research Evidence (Interview) John Domingue
John Domingue 06 Apr 2013 Ricardo Baeza-Yates Person/Organization John Domingue specifies Ricardo Baeza-Yates saying how he advocates personalising around the task rather than the user to overcome privacy problems Evidence (Interview) John Domingue
John Domingue 05 Apr 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/bill_thompson_large.html Resource (Video) John Domingue is related to Bill Thompson Person/Organization John Domingue
John Domingue 05 Apr 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/ricardo_baeza_yates_large.html Resource (Video) John Domingue is related to Ricardo Baeza-Yates Person/Organization John Domingue
John Domingue 05 Apr 2013 Yahoo! Person/Organization John Domingue partnered with Ricardo Baeza-Yates Person/Organization John Domingue
John Domingue 02 Apr 2013 Francois Bancilhon talking about areas which are used in Data Publica and need important semantic analysis to recognise named entities, machine learning for topic identification and document classification, crawl information sources e.g. press, blogs, Supporting Evidence John Domingue supports Machine Learning is important for topic detection and document classification Research Claim John Domingue
John Domingue 02 Apr 2013 Francois Bancilhon talking about areas which are used in Data Publica and need important semantic analysis to recognise named entities, machine learning for topic identification and document classification, crawl information sources e.g. press, blogs, Supporting Evidence John Domingue supports Semantic analysis is important for extracting entities Research Claim John Domingue
John Domingue 02 Apr 2013 Francois Bancilhon Person/Organization John Domingue specifies Francois Bancilhon talking about areas which are used in Data Publica and need important semantic analysis to recognise named entities, machine learning for topic identification and document classification, crawl information sources e.g. press, blogs, Evidence (Interview) John Domingue
John Domingue 02 Apr 2013 Francois Bancilhon Person/Organization John Domingue specifies Francois Bancilhon saying how cheap access to up-to-date and easy-to-manage (entire) web infrastructure and datat would be very useful Evidence (Interview) John Domingue
John Domingue 02 Apr 2013 Francois Bancilhon saying how cheap access to up-to-date and easy-to-manage (entire) web infrastructure and datat would be very useful Supporting Evidence John Domingue supports Better access to the Web infrastructure and data would be very useful Research Claim John Domingue
John Domingue 02 Apr 2013 Bill Thompson Person/Organization John Domingue specifies Bill Thompson saying that there is not really a tension between Open Data and Privacy Evidence (Interview) John Domingue
John Domingue 02 Apr 2013 Bill Thompson saying that there is not really a tension between Open Data and Privacy Counter Evidence John Domingue challenges There is a tension between Open Data and Privacy - you can't have both Research Claim John Domingue
John Domingue 02 Apr 2013 Andraz Tori talking about the impact of Big Data on Academia and government and mentioning the tension between being open and fully supporting privacy. Supporting Evidence John Domingue supports There is a tension between Open Data and Privacy - you can't have both Research Claim John Domingue
John Domingue 02 Apr 2013 BBC Person/Organization John Domingue partnered with Bill Thompson Person/Organization John Domingue
John Domingue 02 Apr 2013 Andraz Tori Person/Organization John Domingue specifies Andraz Tori talking about the impact of Big Data on Academia and government and mentioning the tension between being open and fully supporting privacy. Evidence (Interview) John Domingue
John Domingue 02 Apr 2013 Andraz Tori talking about the impact of Big Data on Academia and government and mentioning the tension between being open and fully supporting privacy. Supporting Evidence John Domingue supports Big Data will have an impact on Academia on other technologies and in government, EU will fall behind US because of privacy laws. Research Claim John Domingue
John Domingue 02 Apr 2013 Andraz Tori Person/Organization John Domingue specifies Andraz Tori describing the Zemanta architecture including Hadoop, Cassandra and Amazon services Evidence (Interview) John Domingue
John Domingue 02 Apr 2013 Andraz Tori describing the Zemanta architecture including Hadoop, Cassandra and Amazon services Supporting Evidence John Domingue supports Zemanta architecture which includes hadoop and Amazon services Technological Capability John Domingue
John Domingue 02 Apr 2013 Andraz Tori Person/Organization John Domingue specifies Andraz Tori saying how the simplest e.g. hadoop wins over the best, these emerge in consumer spaces and how enterprise systems tend to be overly complex Evidence (Interview) John Domingue
John Domingue 02 Apr 2013 Andraz Tori saying how the simplest e.g. hadoop wins over the best, these emerge in consumer spaces and how enterprise systems tend to be overly complex Supporting Evidence John Domingue supports Hadoop (and Hive) didn't succeed because it was it is the best but because it is the easiest to use Technological Capability John Domingue
John Domingue 31 Mar 2013 Existing technologies working together on data at scale will bring something new Research Claim John Domingue responds to Combinations of technologies working together can have a big effect Requirement / Issue John Domingue
John Domingue 31 Mar 2013 Combinations of incrementally improved to technologies can provide a dramatically new capability Research Claim John Domingue responds to Combinations of technologies working together can have a big effect Requirement / Issue John Domingue
John Domingue 31 Mar 2013 Ecosystems built around collections of tools have a significant impact Research Claim John Domingue responds to Combinations of technologies working together can have a big effect Requirement / Issue John Domingue
John Domingue 31 Mar 2013 Combinations of technologies working together can have a big effect Requirement / Issue John Domingue is related to What are the new and emerging Big Data technologies? Key Challenge John Domingue
John Domingue 31 Mar 2013 Andraz Tori Person/Organization John Domingue specifies Andraz Tori saying how the ecosystem around Hadoop, Hive and Cassandra have been important for Zemanta Evidence (Interview) John Domingue
John Domingue 31 Mar 2013 Andraz Tori saying how the ecosystem around Hadoop, Hive and Cassandra have been important for Zemanta Supporting Evidence John Domingue supports Ecosystems built around collections of tools have a significant impact Research Claim John Domingue
John Domingue 31 Mar 2013 Online video on wealth in the US a popular example of data visualisation Supporting Evidence John Domingue supports Bringing the right data to the right people at the right time will have a significant impact Research Claim John Domingue
John Domingue 31 Mar 2013 http://www.youtube.com/watch?v=oOwjN9qV2ls Resource (Video) John Domingue is related to Online video on wealth in the US a popular example of data visualisation Evidence (Other) John Domingue
John Domingue 31 Mar 2013 Hjalmar Gislason Person/Organization John Domingue specifies Hjalmar Gislason saying how bringing data to the right people will improve decision making across the board Evidence (Interview) John Domingue
John Domingue 31 Mar 2013 Hjalmar Gislason saying how bringing data to the right people will improve decision making across the board Supporting Evidence John Domingue supports Bringing the right data to the right people at the right time will have a significant impact Research Claim John Domingue
John Domingue 31 Mar 2013 Hjalmar Gislason Person/Organization John Domingue specifies Hjalmar Gislason saying how data standardisation would benefit his company's work Evidence (Interview) John Domingue
John Domingue 31 Mar 2013 Hjalmar Gislason saying how data standardisation would benefit his company's work Supporting Evidence John Domingue supports Standardisation of data and especially numerical data would be of great benefit for integration, search etc Research Claim John Domingue
John Domingue 31 Mar 2013 Hjalmar Gislason Person/Organization John Domingue specifies Hjalmar Gislason saying how his company delivers everything through browsers including legacy browsers (especially important for business users) Evidence (Interview) John Domingue
John Domingue 31 Mar 2013 Hjalmar Gislason saying how his company delivers everything through browsers including legacy browsers (especially important for business users) Supporting Evidence John Domingue supports Browser paradigm coupled with software as a service has many benefits for delivering software Research Claim John Domingue
John Domingue 31 Mar 2013 Hjalmar Gislason Person/Organization John Domingue specifies Hjalmar Gislason saying how most people see semantic technologies through simple practical interfaces such as Facebook. Need to democratize semantic technologies. Evidence (Interview) John Domingue
John Domingue 31 Mar 2013 Hjalmar Gislason saying how most people see semantic technologies through simple practical interfaces such as Facebook. Need to democratize semantic technologies. Supporting Evidence John Domingue supports Linked Data technologies e.g. RDF SPARQL are overly complex and have too steep a learning curve Research Claim John Domingue
John Domingue 31 Mar 2013 Hjalmar Gislason Person/Organization John Domingue specifies Hjalmar Gislason saying how data modelling based on semantics and visualisation are 2 key technologies which require innovation at the moment Evidence (Interview) John Domingue
John Domingue 31 Mar 2013 Hjalmar Gislason saying how data modelling based on semantics and visualisation are 2 key technologies which require innovation at the moment Supporting Evidence John Domingue supports Data modelling based on semantic technologies requires more innovation Research Claim John Domingue
John Domingue 31 Mar 2013 Jeni Tennison Person/Organization John Domingue specifies Jeni Tennison saying how new companies will emerge focussing on Big Data discovery Evidence (Interview) John Domingue
John Domingue 31 Mar 2013 Jeni Tennison saying how new companies will emerge focussing on Big Data discovery Supporting Evidence John Domingue supports Big Data discovery will see the emergence of new successful companies Research Claim John Domingue
John Domingue 31 Mar 2013 Big Data discovery will see the emergence of new successful companies Research Claim John Domingue responds to Big Data discovery will be a new important market Requirement / Issue John Domingue
John Domingue 31 Mar 2013 Big Data discovery will be a new important market Requirement / Issue John Domingue is related to What new or existing business models will Big Data support? Key Challenge John Domingue
John Domingue 31 Mar 2013 Jeni Tennison Person/Organization John Domingue specifies Jeni Tennison saying how we can improve data discovery from how the Web evolved Evidence (Interview) John Domingue
John Domingue 31 Mar 2013 Jeni Tennison saying how we can improve data discovery from how the Web evolved Supporting Evidence John Domingue supports We can learn from how document discovery evolved on the Web on how to do Big Data organisation and discovery Research Claim John Domingue
John Domingue 31 Mar 2013 Jeni Tennison Person/Organization John Domingue specifies Jeni Tennison saying how we need something beyond simple lists of datasets for data discovery Evidence (Interview) John Domingue
John Domingue 31 Mar 2013 Jeni Tennison saying how we need something beyond simple lists of datasets for data discovery Supporting Evidence John Domingue supports Good data discovery is needed now Research Claim John Domingue
John Domingue 31 Mar 2013 Jeni Tennison Person/Organization John Domingue specifies Jeni Tennison saying how discovery, aggregation, meta data, RDF, generating (textual) stories and bit torrent-like technologies are useful Evidence (Interview) John Domingue
John Domingue 31 Mar 2013 Alon Halevy Person/Organization John Domingue specifies Alon Halevy giving an example of this for applications for gun permits in the US and delivering clean water Evidence (Interview) John Domingue
John Domingue 31 Mar 2013 Alon Halevy giving an example of this for applications for gun permits in the US and delivering clean water Supporting Evidence John Domingue supports Bringing the right data to the right people at the right time will have a significant impact Research Claim John Domingue
John Domingue 31 Mar 2013 Alon Halevy Person/Organization John Domingue claims Dealing with users tasks rather than simply structured queries is the best way to frame the general problem Research Claim John Domingue
John Domingue 31 Mar 2013 Alon Halevy saying think about user tasks rather than simply transforming everything to a structured query Supporting Evidence John Domingue supports Dealing with users tasks rather than simply structured queries is the best way to frame the general problem Research Claim John Domingue
John Domingue 31 Mar 2013 Dealing with users tasks rather than simply structured queries is the best way to frame the general problem Research Claim John Domingue responds to Supporting with user tasks is important Requirement / Issue John Domingue
John Domingue 31 Mar 2013 Alon Halevy Person/Organization John Domingue specifies Alon Halevy saying that if it isn't very fast users won't use it - autocomplete helps too Evidence (Interview) John Domingue
John Domingue 31 Mar 2013 Alon Halevy saying that if it isn't very fast users won't use it - autocomplete helps too Supporting Evidence John Domingue supports Users perceive speed to be linked to quality (faster results seem to be 'better') Research Claim John Domingue
John Domingue 30 Mar 2013 Peter Mika Person/Organization John Domingue specifies Peter Mika saying how intelligent agents will have an impact in situations where users can't use their hands Evidence (Interview) John Domingue
John Domingue 30 Mar 2013 Peter Mika saying how intelligent agents will have an impact in situations where users can't use their hands Supporting Evidence John Domingue supports Intelligent agents will have an impact in scenarios where users can't use their hands e.g. when driving Research Claim John Domingue
John Domingue 30 Mar 2013 Richard Benjamins Person/Organization John Domingue specifies Richard Benjamins talking about the reuse of Telco Big Data for Retail Evidence (Interview) John Domingue
John Domingue 30 Mar 2013 Usman Haque Person/Organization John Domingue specifies Usman Haque talking about how communities acquire and analyse Big Data Evidence (Interview) John Domingue
John Domingue 30 Mar 2013 Usman Haque Person/Organization John Domingue specifies Usman Haque giving an example (from the Fukushima disaster and air quality) on how communities can acquire and analyse Big Data Evidence (Interview) John Domingue
John Domingue 30 Mar 2013 Alon Halevy Person/Organization John Domingue specifies Alon Halevy talking about his set of technologies that can bring something new in Big Data analysis Evidence (Interview) John Domingue
John Domingue 30 Mar 2013 Alon Halevy Person/Organization John Domingue specifies Alon Halevy talking about Google Fusion tables emphasising that we need to worry about who cares about the data Evidence (Interview) John Domingue
John Domingue 30 Mar 2013 Alon Halevy Person/Organization John Domingue specifies Alon Halevy outlining how he'd like to see research in combining breadth and depth of data analysis Evidence (Interview) John Domingue
John Domingue 30 Mar 2013 Alon Halevy Person/Organization John Domingue specifies Alon Halevy outlining how unstructured data can be useful - need to focus on the information needs Evidence (Interview) John Domingue
John Domingue 30 Mar 2013 Peter Mika Person/Organization John Domingue specifies Peter Mika background knowledge helps and semantic representation doesn't have to be so complex Evidence (Interview) John Domingue
John Domingue 30 Mar 2013 Peter Mika Person/Organization John Domingue specifies Peter Mika saying how studies show users attribute speed to quality Evidence (Interview) John Domingue
John Domingue 30 Mar 2013 Alon Halevy Person/Organization John Domingue specifies Alon Halevy talking about how a combination of technologies can lead to a qualitative change Evidence (Interview) John Domingue
John Domingue 30 Mar 2013 Peter Mika Person/Organization John Domingue claims Social Sciences including psychology and economics should be used to increase the effectiveness of analysis tools Research Claim John Domingue
John Domingue 29 Mar 2013 Peter Mika saying how studies show users attribute speed to quality Supporting Evidence John Domingue supports Users perceive speed to be linked to quality (faster results seem to be 'better') Research Claim John Domingue
John Domingue 29 Mar 2013 Alon Halevy talking about how a combination of technologies can lead to a qualitative change Supporting Evidence John Domingue supports Combinations of incrementally improved to technologies can provide a dramatically new capability Research Claim John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/alek_kolcz_large.html Resource (Video) John Domingue is related to Twitter Inc. Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/alek_kolcz_large.html Resource (Video) John Domingue is related to Alek Kolcz Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/alon_halevy_large.html Resource (Video) John Domingue is related to Google Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/alon_halevy_large.html Resource (Video) John Domingue is related to Alon Halevy Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/andraz_tori_large.html Resource (Video) John Domingue is related to Zemanta Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/andraz_tori_large.html Resource (Video) John Domingue is related to Andraz Tori Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/francois_bancilhon_large.html Resource (Video) John Domingue is related to Data Publica Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/francois_bancilhon_large.html Resource (Video) John Domingue is related to Francois Bancilhon Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/frank_van_harmelen_large.html Resource (Video) John Domingue is related to Free University of Amsterdam Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/frank_van_harmelen_large.html Resource (Video) John Domingue is related to Frank van Harmelen Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/hjalmar_gislason_large.html Resource (Video) John Domingue is related to DataMarket, Inc. Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/hjalmar_gislason_large.html Resource (Video) John Domingue is related to Hjalmar Gislason Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/jeni_tennison_large.html Resource (Video) John Domingue is related to Open Data Institute Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/jeni_tennison_large.html Resource (Video) John Domingue is related to Jeni Tennison Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/jim_hendler_large.html Resource (Video) John Domingue is related to Rensselaer Polytechnic Institute Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/jim_hendler_large.html Resource (Video) John Domingue is related to Jim Hendler Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/jim_webber_large.html Resource (Video) John Domingue is related to Neo Technology Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/jim_webber_large.html Resource (Video) John Domingue is related to Jim Webber Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/peter_mika_large.html Resource (Video) John Domingue is related to Yahoo! Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/peter_mika_large.html Resource (Video) John Domingue is related to Peter Mika Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/prasanna_lal_das_large.html Resource (Video) John Domingue is related to World Bank Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/prasanna_lal_das_large.html Resource (Video) John Domingue is related to Prasanna Lal Das Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/richard_benjamins_large.html Resource (Video) John Domingue is related to Telefonica SA Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/richard_benjamins_large.html Resource (Video) John Domingue is related to Richard Benjamins Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/soren_auer_large.html Resource (Video) John Domingue is related to University of Leipzig Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/soren_auer_large.html Resource (Video) John Domingue is related to Sören Auer Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/usman_haque_large.html Resource (Video) John Domingue is related to COSM Person/Organization John Domingue
John Domingue 29 Mar 2013 http://people.kmi.open.ac.uk/domingue/big_data_analysis/usman_haque_large.html Resource (Video) John Domingue is related to Usman Haque Person/Organization John Domingue
John Domingue 29 Mar 2013 Peter Mika background knowledge helps and semantic representation doesn't have to be so complex Supporting Evidence John Domingue supports Efficient indexing is important to support keyword search Research Claim John Domingue
John Domingue 29 Mar 2013 Peter Mika background knowledge helps and semantic representation doesn't have to be so complex Supporting Evidence John Domingue supports Background knowledge aids in understanding unstructured data Research Claim John Domingue
John Domingue 29 Mar 2013 COSM Person/Organization John Domingue partnered with Usman Haque Person/Organization John Domingue
John Domingue 29 Mar 2013 World Bank Person/Organization John Domingue partnered with Prasanna Lal Das Person/Organization John Domingue
John Domingue 29 Mar 2013 DataMarket, Inc. Person/Organization John Domingue partnered with Hjalmar Gislason Person/Organization John Domingue
John Domingue 29 Mar 2013 Zemanta Person/Organization John Domingue partnered with Andraz Tori Person/Organization John Domingue
John Domingue 29 Mar 2013 Neo Technology Person/Organization John Domingue partnered with Jim Webber Person/Organization John Domingue
John Domingue 29 Mar 2013 Telefonica SA Person/Organization John Domingue partnered with Richard Benjamins Person/Organization John Domingue
John Domingue 29 Mar 2013 Free University of Amsterdam Person/Organization John Domingue partnered with Frank van Harmelen Person/Organization John Domingue
John Domingue 29 Mar 2013 Twitter Inc. Person/Organization John Domingue partnered with Alek Kolcz Person/Organization John Domingue
John Domingue 29 Mar 2013 University of Leipzig Person/Organization John Domingue partnered with Sören Auer Person/Organization John Domingue
John Domingue 29 Mar 2013 Rensselaer Polytechnic Institute Person/Organization John Domingue partnered with Jim Hendler Person/Organization John Domingue
John Domingue 29 Mar 2013 Yahoo! Person/Organization John Domingue partnered with Peter Mika Person/Organization John Domingue
John Domingue 29 Mar 2013 Google Person/Organization John Domingue partnered with Alon Halevy Person/Organization John Domingue
John Domingue 29 Mar 2013 Open Data Institute Person/Organization John Domingue partnered with Jeni Tennison Person/Organization John Domingue
John Domingue 29 Mar 2013 Data Publica Person/Organization John Domingue partnered with Francois Bancilhon Person/Organization John Domingue
John Domingue 22 Mar 2013 Alon Halevy outlining how unstructured data can be useful - need to focus on the information needs Supporting Evidence John Domingue supports Unstructured data does not have to be transformed into structured data to be useful Research Claim John Domingue
John Domingue 22 Mar 2013 Alon Halevy outlining how he'd like to see research in combining breadth and depth of data analysis Supporting Evidence John Domingue supports Dealing with very broad and very specific data is a good topic for more research Research Claim John Domingue
John Domingue 22 Mar 2013 Dealing with very broad and very specific data is a good topic for more research Research Claim John Domingue responds to Dealing with breadth (information from the Web) and depth (a specific domain) is a challenge Requirement / Issue John Domingue
John Domingue 22 Mar 2013 Dealing with breadth (information from the Web) and depth (a specific domain) is a challenge Requirement / Issue John Domingue is related to How will Big Data be created and used? Key Challenge John Domingue
John Domingue 22 Mar 2013 Alon Halevy talking about Google Fusion tables emphasising that we need to worry about who cares about the data Supporting Evidence John Domingue supports Communities will be involved in Big Data Collection and Analysis Research Claim John Domingue
John Domingue 22 Mar 2013 Alon Halevy talking about his set of technologies that can bring something new in Big Data analysis Supporting Evidence John Domingue supports Existing technologies working together on data at scale will bring something new Research Claim John Domingue
John Domingue 22 Mar 2013 Existing technologies working together on data at scale will bring something new Research Claim John Domingue responds to Existing technologies will have a role dealing with Big Data challenges Requirement / Issue John Domingue
John Domingue 22 Mar 2013 Existing technologies will have a role dealing with Big Data challenges Requirement / Issue John Domingue is related to What are the new and emerging Big Data technologies? Key Challenge John Domingue
John Domingue 22 Mar 2013 Usman Haque giving an example (from the Fukushima disaster and air quality) on how communities can acquire and analyse Big Data Supporting Evidence John Domingue supports Communities will be involved in Big Data Collection and Analysis Research Claim John Domingue
John Domingue 22 Mar 2013 Usman Haque talking about how communities acquire and analyse Big Data Supporting Evidence John Domingue supports Communities will be involved in Big Data Collection and Analysis Research Claim John Domingue
John Domingue 22 Mar 2013 Communities will be involved in Big Data Collection and Analysis Research Claim John Domingue responds to Communities and Big Data will have new interesting relationships Requirement / Issue John Domingue
John Domingue 22 Mar 2013 Communities and Big Data will have new interesting relationships Requirement / Issue John Domingue is related to How will Big Data be created and used? Key Challenge John Domingue
John Domingue 08 Mar 2013 Richard Benjamins talking about the reuse of Telco Big Data for Retail Supporting Evidence John Domingue supports Telco Big Data can be used to support Retail Research Claim John Domingue
John Domingue 08 Mar 2013 Telco Big Data can be used to support Retail Research Claim John Domingue responds to Cross sectorial use of Big Data can support new business models Requirement / Issue John Domingue
John Domingue 08 Mar 2013 Cross sectorial use of Big Data can support new business models Requirement / Issue John Domingue is related to What new or existing business models will Big Data support? Key Challenge John Domingue