Information entanglement

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Information entanglement: future developments of cognitive based knowledge acquisition systems based on Big Data. by Willard Van de Bogart – Bangkok University 12 th International Conference on Intellectual Capital, Knowledge Management & Organizational Learning – ICICKM 2015 Nov. 5-6 The Institute for Knowledge and Innovation Southeast Asia (IKI-SEA) of Bangkok University, Bangkok, Thailand

Transcript of Information entanglement

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Information entanglement: future developments of cognitive based knowledge acquisition systems based on Big Data.

byWillard Van de Bogart – Bangkok University

12th International Conference on Intellectual Capital, Knowledge Management & Organizational Learning – ICICKM 2015 Nov. 5-6

The Institute for Knowledge and Innovation Southeast Asia (IKI-SEA) of Bangkok University, Bangkok, Thailand

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Background

As part of its Technology Utilization Program—a program designed to transfer new aerospace knowledge and innovative technology to nonaerospace sectors of the economy—NASA operates a network of Industrial Applications Centers. These centers serve U.S. industrial clients on a fee paying basis by providing access to literally millions of scientific and technical documents published by NASA and by other research and development organizations. Using computers, the NASA Industrial Applications Centers conduct retrospective and current awareness searches of available literature in accordance with client interests, and assist in the interpretation and adaption of retrieved information to specified needs.

1970 - 2015

Studied Information Counseling with Dr. Anthony Debons, Information Scientist, Univ of Pittsburgh

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Getting from here to there. Where is there? A teacher-researcher’s perspective

A compressed presentation

Immersive vectors

Multi-disciplinary trajectories

= Teaching point

Pair word syntax

Reform, Re-structure, Re-organize, Re-evaluate learning, Revolution

Innovative language usageThe question

Operational Schema

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How to keep up?

Making choices

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Fig. 1. Frequency distribution of documents containing the term “big data” in ProQuest Research Library.Amir Gandomi, Murtaza Haider

Beyond the hype: Big data concepts, methods, and analytics

International Journal of Information Management, Volume 35, Issue 2, 2015, 137–144

http://dx.doi.org/10.1016/j.ijinfomgt.2014.10.007

Acceleration of data will require a new approach to retrieval

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Getting Prepared for Big Data InstructionData Analytics verses Subject Learning

“Big data is high volume, high velocity andhigh variety information assets, innovative formsof information processing for enhancedinsight and decision making.” (Gartner IT glossary”)

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Big Data for Kids – K-16 - Where do we begin?

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Preparing the cognitive landscape for big data analyticsApplying data acquisition strategies in the classroom

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Data distribution pedagogy – Learning vectorsProvide Multiple source locations for information input

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Preparing for big data analytics – Cognitive enhancers

The Use of Metapatterns for Research into Complex Systems of Teaching, Learning, and Schooling— Part II: Applications Jeffrey W. Bloom, Tyler Volk http://ejournals.library.ualberta.ca/index.php/complicity/article/view/8759

Visual-Analytics.EU http://www.visual-analytics.eu/faq/

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Iconic Teaching MethodologyBasic visualization techniques to develop concepts

The rationale for the Iconic Teaching Technique was to find an easier way to convey and idea to an ESL student.

https://www.academia.edu/4185603/Iconic_teaching_techniques_using_cognitive_enhancers

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Tools to evaluate Digital Conceptualization

• cognitive

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Critical thinking tools – what is a concept?It’s a concept map and not a mind map.

http://cmap.ihmc.us/

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NASA uses Cmap

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Eight elements of thought – the question is the most difficult beginning to knowledge

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Can Mollusks whistle? Yes, if you blow into themhttp://www.wired.com/2010/11/conch-trumpets-peru

The questions guide our thinking to:

1. Exploring sound 2. Exploring air3. Cultural integration

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QGT and Answer Retrieval Technology (ART).

• Question Generation Technology (QGT) in Deep Learning - Why defining new questions is more important than finding answers in Data Analytics. (Scot Forshaw)

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So, where is there? It’s here. Man-Machine Interface

The goal of autonomic computing is to create systems that run themselves, capable of high-level functioning while keeping the system's complexity invisible to the user.

AI Quantum Computing

Disruptive technology

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Cognitive architecture - Where do we go from here? Can the human make effective decisions?

http://www.vernon.eu/cognition/08_Duch_Oentaryo_Pasquier.pdf

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Data mining – Can you find it? Can the algorithm?

Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information.

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Data Analytics – Who sees the patterns?

Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information.

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Data patterns – Data analytics

Patterns are useful to data because they:Document simple mechanisms that work. Provide a common vocabulary and taxonomy Enable solutions to be described concisely as combinations of patterns. Enable in the designing and implementation of decisions.

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Visualization tools for data analyticsThe way we look at things is changing

MeshLab is an advanced 3D mesh processing software system which is well known in the more technical fields of 3D development and data handling. 

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In education

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Information Entanglement – Data Analytics – Quantum algorithmsToridion quantum algorithms – encoding data

Will the human add to the autonomous system or be supplanted by it?

http://www.visicomscientific.com/web/en/rss/wp/developers-make-first-unaided-encoding-transmission-and-extraction-of-a-toridion-quantum-compressed-file/

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Deep Learning

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Getting Prepared for Big Data InstructionData Analytics verses Subject Learning

Subject identification verses non linear processing using an unsupervised algorithm

Will the computer discover concepts on its own orwill the human be able to extrapolate more?

Neural Network

Deep Learning Issue

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Data Summary for Information Entanglement

• Distributed Learning• Cognitive Learning

• Iconic Learning• Machine Learning

• Deep Learning• Hybrid Learning

• Data Analytic Learning

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Promote Data LiteracyOceans of Data Institute

• Call for Action

• Data drives discovery, decision-making, and innovation. The quantity of data created globally is growing exponentially, and data is everywhere. Data touches all aspects of our lives, including our health, our environment and our role as citizens.

• We are all perpetually producing streams of data, which we need to shape and manage to ensure our privacy and personal security;

• Effective use of data empowers us to make objective, evidence-based inferences and fundamental decisions affecting our lives, both as individuals and among societies.

• In light of this, we are calling for a revolution in education, placing data literacy at its core, integrated throughout K-16 education nationwide and around the world. By enabling learners to use data more effectively, we prepare them to make better decisions and to lead more secure, better-informed and productive lives.

http://www.oceansofdata.org/projects