“Six Thinking Hats” – By Edward De Bono His instruction in thinking has been sought by many multinational organizations: Google, IBM, Prudential, GM, BT (UK), NTT (Japan), Nokia (Finland), Mondadori (Italy), Total (France), Siemens (Germany), Bosch (Germany), Ericsson (Sweden), shell,Apple,BHP and many others. His methods are now mandatory in the school curriculum in many countries and widely used in others. Edward De Bono (1933) is a physician, writer, inventor and consultant. He is the originator of the term lateral thinking and has developed the famous decision making method: the Six Thinking Hats. 2014 L     ...

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FOR OLD TIME’S SAKE” – by Des Kelly Think I’ve worked his name out to be Ivor de Novello (hopefully) aa the Author of this fascinating throwback that we frequently refer to, as the good old days. As usual, thank you also, Keith Bennett, for sending this story in for e’Lanka members in general. Certainly, they will enjoy reading about the past, when Sri Lanka was still Ceylon, and,as a matter of fact, many other Countries were also known by different names to the ones they are now. Enough said, so here it is folks. Please read & reminisce. Desmond Kelly. (Editor-in-Chief) e’Lanka. That is so true and we sure have seen a lot in our life time… recycled but some great memories  Always nice to reflect    THIS is FASCINATING! – The 1% Age Group This special group was born between 1930 & 1947. In 2022, the age range ...

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Knowledge Graphs: A graph for linking entities? By Aditya Abeysinghe   The use of graphs for retrieving relationships between data entities has caused a massive growth of a new method for search of similar data. Graph databases are used from simple search engine results of searched text to complex social media and big data analytics. A graph with its connections enables faster, efficient data processing while ensuring less need to be context-based data links. While knowledge graphs are not to be thought as same as knowledge stores, their usage has certainly changed how data is handled in current querying methods. What is a knowledge graph? A knowledge graph, referred to as a graph hereafter, is a graph which connects real-world entities. These entities can be of different types: people, places, weather, etc. These entities are stored in a graph database and a graph represents connections between these entities. In a ...

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Semantic Search: How semantics control search engine searches By Aditya Abeysinghe Search engines are now a part of every internet user’s flow of activities. Users search data using queries and the output is categorized into several categories like websites, videos, news etc. Most search queries typically do not provide information on which data to be shown back. Therefore, a search of related data is often required to show relevant data to the user. Search of relevant data for a query is done by matching semantics to words on a user query. History of search Searching on keywords of a query entered by a user was the first method that was used by search engines. In this method, whenever a user submits a query, the entire query was used as the search engine’s input to search for content. Caveats of this technique were the low-quality content displayed as the content with ...

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“GOOGLE” by Desmond Kelly, the “Star of eLanka” Just a few years ago, I had not even heard the word!! To “go” with the above silly -sounding “google” was the even sillier-sounding word “geek”. We were already well aware of the mammoth “computers” then practically running the lives of most people in first-world Countries like Australia. These computers often filled an entire room of office-space and had a team of computer-operators working on these huge machines day and night in order to keep the world turning. Then, just as suddenly, the computer-phase was on it’s way “out” as the “Internet” made it’s way “in”. Suddenly, the major telephone Companies were busy laying millions of metres of special underground cables to bring this thing called “Internet” into most homes all around Australia, concentrating, as they do, on the larger Cities first. Everything then, began to get “smaller”. Mobile telephones were roughly the size ...

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