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''Abstract'':
 
''Abstract'':
What is information for? (entertainment, decisions)
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What is information for?
  
How does information support decisions?
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In business, information is used to support decisions. If information required for a decision is missing or inaccurate, this increases the risk of a mistake. So, to support a decision, information needs to be fit for purpose. This means that information management is a quality management process where information is the product.
  
How do you discover your information requirements systematically?
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But how do you know what your information requirements are? It turns out that asking people for their requirements give unreliable results. A better approach is to document your processes to the level where key decisions are identifiable. It is then possible to document the information requirements for those decisions.
  
Critical properties of information
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Information has a lot of properties, but only some of them are critical for its use in supporting decisions. One of the hardest to achieve is consistency. If data is consistent then when it arrives from different sources, it can just be brought together and used immediately. This means that it uses the same data model and reference data (or if you prefer, they are knowledge graphs of the same ontology).
  
Information needs to be fit for purpose, so IM is a Quality Management process
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In the UK there is a project to develop a Digital Twin of national infrastructure. The aim is to establish a distributed Digital Twin of consistent data so that authorized users can construct queries across the Digital Twins so it is possible to answer questions like "Which Tower Blocks have the same type of cladding as Grenfell Tower?"
  
Applying QM to information
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The Information Management Landscape sets out the information needed to support the critical properties of data and the information quality management process. Part of this is an integration architecture so that the distributed National Digital Twin can be virtualized so users see it as a single database, with only access to the data they are authorized to see.
 
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The information management landscape
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Information management maturity (how to implement Information Quality Management)
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[https://go.aws/2HdGBYr Presentation Slides]
 
[https://go.aws/2HdGBYr Presentation Slides]

Revision as of 06:33, 12 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?     (2B14)

In business, information is used to support decisions. If information required for a decision is missing or inaccurate, this increases the risk of a mistake. So, to support a decision, information needs to be fit for purpose. This means that information management is a quality management process where information is the product.     (2B15)

But how do you know what your information requirements are? It turns out that asking people for their requirements give unreliable results. A better approach is to document your processes to the level where key decisions are identifiable. It is then possible to document the information requirements for those decisions.     (2B16)

Information has a lot of properties, but only some of them are critical for its use in supporting decisions. One of the hardest to achieve is consistency. If data is consistent then when it arrives from different sources, it can just be brought together and used immediately. This means that it uses the same data model and reference data (or if you prefer, they are knowledge graphs of the same ontology).     (2B17)

In the UK there is a project to develop a Digital Twin of national infrastructure. The aim is to establish a distributed Digital Twin of consistent data so that authorized users can construct queries across the Digital Twins so it is possible to answer questions like "Which Tower Blocks have the same type of cladding as Grenfell Tower?"     (2B18)

The Information Management Landscape sets out the information needed to support the critical properties of data and the information quality management process. Part of this is an integration architecture so that the distributed National Digital Twin can be virtualized so users see it as a single database, with only access to the data they are authorized to see.     (2B19)

  • 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.     (2B21)

Conference Call Information     (2C)

Attendees     (2D)

Proceedings     (2E)

Resources     (2F)

Previous Meetings     (2G)


Next Meetings     (2H)