Syndicate content

Semantic Web

Frequently Asked (not so smart) Questions

Abir Qasem's picture

This blog is the second of the series of a year-long skills transfer discussion/blog series on technology aided gut (TAG) checks. We use an interactive and just in time learning strategy to help you learn to do TAG checks on your data. 

People using computers in an internet cafe in Kampala, UgandaMany of us fondly remember from our school (and college) days the best and the most inspiring teachers always told us that "there are no bad questions".  No matter how silly our questions were, the best teachers always had the talent to transform an uninformed question into a learning experience. Even in the age of AI (Artificial Intelligence) that quality is still uniquely human (Google or even IBM’s Watson are not there yet)!  So, for an adult learner, who is using online resources to learn technical skills, ­asking the right question is important.  If you don’t ask the right question, the Internet will not give you an answer. Even worse than not getting an answer, you may get the wrong answer. This blog is all about asking the right question. More specifically, this blog is about coming up with precise and specific search queries when you are searching online resources to further your knowledge or solve a specific problem.

The Internet is the world's largest knowledge repository, but it is still far from becoming a one-stop knowledge shop. We still need a vast education industry (in the US, it is close to a trillion dollars) consisting of teachers, mentors, training, schools/colleges etc. Unlike machines, and, by extension, unlike the Internet, we humans have an unequalled capability to deal with ambiguity. We do not need to always work under a precise set of rules. We also have a propensity to be ambiguous in framing our questions. Therefore, we need expensive human intervention to remove the ambiguity factor from the human-to-machine knowledge loop.

In the physical world, there is a high level of interactivity between the asker of a question and the human provider. This interactivity- coupled with the human ability to deal with ambiguity- helps refine the question by making it precise enough to answer. On the Web, such interactivity is much harder to attain.

Innovation for the Development Sector (Hint: The iPad Probably Isn’t It)

Susan Moeller's picture

This past weekend’s launch of the iPad has had me thinking more and more about the future of information because I’m not entirely convinced that we should go in the direction that Steve Jobs is taking us. 

Or what I really mean (since I have every intention of getting an iPad) is that I’m not convinced that that’s the ONLY direction we should go.

Let me step back for a moment and briefly explain what the media gurus believe is in our future. 

We live now in the age of Web 2.0 and the next BIG thing on the horizon is being called Web 3.0 or the “Semantic” Web.  In other words, we are heading, we are told, for a web that has “meaning.”i

The next Generation Web: Greater Choice and Voice for Citizens?

Aleem Walji's picture



Last Monday, Gordon Brown delivered a speech in which he laid out a fascinating and bold vision for how Britain could lead the world in knowledge industries and create a quarter of a million skilled jobs within 10 years. What I found most interesting in his remarks was how he linked leadership in the digital economy to leadership in public service delivery and increasing “voice and choice for citizens”.

Underlying his message was his palpable excitement in the next generation of the web: the semantic web or the web of linked data. The semantic web is a relatively new term popularized by the British scientist and early founder of the World Wide Web, Tim Berners-Lee. Tim suggest that the web of linked data has the potential to transform the way we manage knowledge, make decisions, and understand relationships between previously unconnected phenomena. Nearly a year ago, speaking at a TED conference in California, Tim issued a call to action to public agencies and data aggregators – Free Data Now. He argued that only by freeing data into easily searchable and downloadable formats could we expose relationships between issues like housing and crime, access to water and race, or government spending and the quality of public services. From the perspective of international development institutions, imagine if we could see relationships between aid flows and poverty or even poverty at a sub-national level (say through maps) and where development projects are located in a particular country?