Ebiquity Blog
ebiquity.umbc.edu · Group blog · on HN since 2008
The blog of the University of Maryland, Baltimore County's eBiquity research group, covering semantic web, security, machine learning, and programming topics.
What HN saysHN links it for items like the Dr. Seuss halting problem proof and a 2007 post on how YouTube scales MySQL.
15HN people shared it
3linked it in comments
20stories submitted
570story points
2 years agolast shared
2008people per year2026
Most-shared posts
- 1How Dr. Seuss would prove the halting problem undecidable4 people · 352 points · first shared 2010 · 52 comments on HN
- 2Naive Bayes classifier in 50 lines1 people · 64 points · first shared 2011 · 10 comments on HN
- 3Octo.py: quick and easy MapReduce for Python1 people · 56 points · first shared 2009 · discussion on HN
- 4Conservatism and cognitive ability are negatively correlated1 people · 23 points · first shared 2009 · 30 comments on HN
- 5How the Srizbi botnet escaped destruction to spam again1 people · 16 points · first shared 2008 · 10 comments on HN
- 6Modeling Trust and Influence in the Blogosphere Using Link Polarity1 people · 11 points · first shared 2009 · discussion on HN
- 7Tutorial: Hadoop on Windows with Eclipse1 people · 11 points · first shared 2009 · discussion on HN
- 8Temporal Understanding of Cybersecurity Threats [pdf]1 people · 10 points · first shared 2020 · discussion on HN
- 9WWGD: Understanding Google’s Technology Stack1 people · 8 points · first shared 2008 · discussion on HN
- 10The Information ecology of social media and online communities1 people · 5 points · first shared 2009 · discussion on HN
- 11How to Make a Computer Appear Intelligent (1962) [pdf]1 people · 3 points · first shared 2024 · discussion on HN
- 12UMBC WebBase corpus of 3B English words1 people · 3 points · first shared 2013 · discussion on HN
- 13TAC 2009: Extracting Wikipedia infobox data from text1 people · 2 points · first shared 2009 · discussion on HN
- 14Wikirage tracks what's hot on Wikipedia1 people · 2 points · first shared 2008 · discussion on HN
- 15Computing word and phrase similarity1 people · 1 points · first shared 2013 · discussion on HN
What HN people wrote when they linked it
greenyoda · 2020-11-02
The author of this poem is actually the inventor of the Spanning Tree Protocol (which the poem describes): https://en.wikipedia.org/wiki/Radia_Perlman
P.S. For those who like nerdy poems, here's a poem which is a proof of the undecidability of the Halting Problem: http://ebiquity.umbc.edu/blogger/2008/01/19/how-dr-suess-would-prove-t…
jrbran · 2011-07-07
Definitely Google via Youtube uses mysql, at least.
From 2007: http://ebiquity.umbc.edu/blogger/2007/12/28/how-youtube-scales-mysql-f…
Undated job opening: http://www.google.com/intl/ln/jobs/uslocations/mountain-view/engops/op…
mindcrime · 2013-11-13
I have to admit, I haven't read TFA, and I'm not sure I want to. The Semantic Web has hardly failed - tons of people use the Semantic Web everyday and just don't know it. The thing is, the SW isn't necessarily meant to be something that the average end user knows about and uses explicitly. It's just about making it easier for machines to understand semantics around data on the web, so those machines can do a better job of helping the humans do whatever it is they are trying to do. So Google could be using the Semantic Web behind the scenes all day long, and the end user would never know it.
And yes, Google do use the Semantic Web.[1][3] So does Yahoo.[2][3] Etc.[3]
It doesn't matter that some people use RDFa, others use microdata, others use microformats, others use RDF/XML, others use JSON-LD or whatever. That's irrelevant syntactical details. The point is having explicitly defined semantics associated with things.
Anyway, the Semantic Web is becoming more and more important with every passing day. As tools[4] for automating the process of extracting rich semantics from unstructured data mature and become better and more widely available, the number of applications for explicit semantics is just going to mushroom.
Just to illustrate (and forgive me a bit of what might be seen as self-promotion here) - our Enterprise Social Network product, Quoddy, has Stanbol integration such that we can process all the various bits of "stuff" that flow through the system, do…