Internet Future Quest

Select a topic from below ( everyone must choose a separate topic ) use the web to research your response ) Your response should also explain any new concepts or  keywords/phrases used.  Prepare to present next class. Minimum time 3 maximum time 5 mins.  This is a great reference for most of what we cover in web science click here ( I might have infringed copyright! ) . A link to resources now available in  the footer section.


Why has it taken so long for the internet to encompass linked data. Explore how linking data has helped make advances in one of these sectors (Drug Discovery,Clinical Healthcare or Biological Research)


With the internet of everything discuss the implications for personal privacy and secuity using Wi-Fi and contrast this with Li-Fi


Explain the raise of Open Street Maps and the benefits that it has and will enable in the future, also make reference to the role of crowd sourcing, online communities, monopolies oligarchies.


What is the difference between the internet of things and the internet of everything include in your answer a real world analogy of the difference and include one example of how you would envision using it on a daily basis.


What is the relationship between Wikipedia and DBpedia. Why did search engines evolve , what role if any will the have in searching linked data. Discuss the need for browsers and search engines that support linked data.


Explain with examples why the web may be creating unregulated monopolies and or oligarchies. make reference to Microsoft and IE


The UK and USA governments have made data public, is this good how can this be used to benefit mankind back up your argument with any real world examples. How can privacy prevail in this world of linked data?


Facebook uses a business model that relies on capturing information and keeping it in a silo (away from the rest of the web). Pick an industry or a government that has a policy of sharing data and contrast these two approaches.


Create your own question/topic to research within web science 

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