From OntologPSMW

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Information management maturity (how to implement Information Quality Management)
 
Information management maturity (how to implement Information Quality Management)
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[https://go.aws/2HdGBYr Presentation Slides]
  
 
* General Discussion.  All attendees are invited to participate in the discussion.  To ask a question or make a contribution, please "raise your hand" on the [http://bit.ly/2LkAbKj Chat Room].  The meeting will be recorded and the recording will be posted on this meeting page.
 
* General Discussion.  All attendees are invited to participate in the discussion.  To ask a question or make a contribution, please "raise your hand" on the [http://bit.ly/2LkAbKj Chat Room].  The meeting will be recorded and the recording will be posted on this meeting page.

Revision as of 13:15, 11 February 2020

[ ]
    (1)
Session Matthew West
Duration 1 hour
Date/Time 19 February 2020 17:00 GMT
9:00am PST/12:00pm EST
5:00pm GMT/6:00pm CET
Convener KenBaclawski
Track Why

Contents

Knowledge graphs, closely related to ontologies and semantic networks, have emerged in the last few years to be an important semantic technology and research area. As structured representations of semantic knowledge that are stored in a graph, KGs are lightweight versions of semantic networks that scale to massive datasets such as the entire World Wide Web. Industry has devoted a great deal of effort to the development of knowledge graphs, and they are now critical to the functions of intelligent virtual assistants such as Siri and Alexa. Some of the research communities where KGs are relevant are Ontologies, Big Data, Linked Data, Open Knowledge Network, Artificial Intelligence, Deep Learning, and many others.     (2A)

Agenda     (2B)

Presenter     (2B2)

Matthew joined Information Junction, as a director in 2008, where he delivers consultancy in information management. He gained a BSC and PhD in Chemical Engineering and joined Shell in 1978, initially as a Refinery Technologist, but from 1987 on the computing/business interface with a particular interest in Information Management and Data Modelling. He has been a key technical contributor to ISO 15926 "Lifecycle integration of process plant data including oil and gas production facilities" and IIDEAS (ISO 18876) - Integration of Industrial Data for Exchange, Access and Sharing. He also developed a data model of Shell's Global Downstream business.     (2B3)

Matthew was the Shell Visiting Professor in the Keyworth Institute at the University of Leeds. He is a Member of the Institution of Chemical Engineers, the British Computer Society, and he is a Chartered Engineer and a Chartered IT Professional. He is a member of the Ontolog Board of Trustees.     (2B4)

He is the author of "Developing High Quality Data Models".     (2B5)

See also Dr. West's Ontolog Invited presentations:     (2B9)


Abstract: What is information for? (entertainment, decisions)     (2B14)

How does information support decisions?     (2B15)

How do you discover your information requirements systematically?     (2B16)

Critical properties of information     (2B17)

Information needs to be fit for purpose, so IM is a Quality Management process     (2B18)

Applying QM to information     (2B19)

The information management landscape     (2B20)

Information management maturity (how to implement Information Quality Management)     (2B21)

  • General Discussion. All attendees are invited to participate in the discussion. To ask a question or make a contribution, please "raise your hand" on the Chat Room. The meeting will be recorded and the recording will be posted on this meeting page.     (2B23)

Conference Call Information     (2C)

Attendees     (2D)

Proceedings     (2E)

Resources     (2F)

Previous Meetings     (2G)


Next Meetings     (2H)