Cite your sources, and please, please don't call yourself an expert
Cite your sources, and please, please don't call yourself an expert
I was checking my daily Paper.li collection on semantic search copywriting and almost shared an article.
I went to the source and discovered an article on the Four V's of semantic search: volume, velocity, variety, veracity, . OK, someone else's view. I'm good with that.
Then I started reading. The author presented this concept as his own idea. No links to something like Google Semantic Search http://goo.gl/fmB3Or. No mention of David Amerland or anyone else for that matter.
So I'm looking at a double content fail.
Who is this guy? I looked more closely at the author. Yep, he's a self-proclaimed expert. Says so right under his name.
Article not shared.
Want to know more about the four Vs? Google finds them for you https://goo.gl/8VmZnH right inside the book.
#semanticwriting
Maybe it is David that should be 'quoting' the sources of the 4 V's
ReplyDeletePublished in:
Data Engineering (ICDE), 2014 IEEE 30th International Conference on
Date of Conference:
March 31 2014-April 4 2014
Page(s):
2
Conference Location :
Chicago, IL, USA
DOI:
10.1109/ICDE.2014.6816634
Publisher:
IEEE
Transforming Big Data into Smart Data: Deriving value via harnessing Volume, Variety, and Velocity using semantic techniques and technologies
Big Data has captured a lot of interest in industry, with anticipation of better decisions, efficient organizations, and many new jobs. Much of the emphasis is on the challenges of the four V's of Big Data: Volume, Variety, Velocity, and Veracity, and technologies that handle volume, including storage and computational techniques to support analysis (Hadoop, NoSQL, MapReduce, etc). However, the most important feature of Big Data, the raison d'etre, is none of these 4 V's — but value. In this talk, I will forward the concept of Smart Data that is realized by extracting value from a variety of data, and how Smart Data for growing variety (e.g., social, sensor/IoT, health care) of Big Data enable a much larger class of applications that can benefit not just large companies but each individual. This requires organized ways to harness and overcome the four V-challenges. In particular, we will need to utilize metadata, employ semantics and intelligent processing, and go beyond traditional reliance on ML and NLP.
3 Citations
IEEE Publications (3)
Cited by IEEE Publications(3)
De Vettor, P.; Mrissa, M.; Benslimane, D. "Models and Adaptive Architecture for Smart Data Management", Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2015 IEEE 24th International Conference on, On page(s): 164 - 169
Abstract | Full Text: PDF (389KB)
Chan, E.S.; Gawlick, D.; Ghoneimy, A.; Zhen Hua Liu "Situation aware computing for big data", Big Data (Big Data), 2014 IEEE International Conference on, On page(s): 1 - 6
Abstract | Full Text: PDF (1285KB)
Hassan, T.; Peixoto, R.; Cruz, C.; Bertaux, A.; Silva, N. "Semantic HMC for big data analysis", Big Data (Big Data), 2014 IEEE International Conference on, On page(s): 26 - 28
Abstract | Full Text: PDF (1165KB)
Patrick Ryall Maybe it's my lack of knowledge. :)
ReplyDeleteI believe in Academic circles it dates back to the early 2000's Zara Altair One also has to be mindful that the semantic sector is heavily represented in academia. Oxford University leads the way in many semantic research areas, even the whole trust narrative is not new grounds.
ReplyDeleteA survey of trust in computer science and the Semantic Web
Microsoft Trust Management for the Semantic Web
One of the earlier people on understanding semantics
What is Semantics?
Richmond H. Thomason
Version 1 prepared: December 1, 1996
Terhi Nurmikko-Fuller
Incredibly interesting research Ontologies and Semantics, from her doctoral research: ‘I assessed the suitability of existing (OWL) ontologies to represent the narrative structures of ancient Sumerian literary compositions’
University : Oxford
Papers : 5
https://oxford.academia.edu/TerhiNurmikkoFuller
Zara Altair I see my content unattributed frequently. I take a very relaxed view on this personally and wrote a piece about it some time ago: http://goo.gl/KxindH. In a connected world those with an original enough vision will eventually find their audience and their voice. Those who just copy and pretend, won't and they will eventually go away. :)
ReplyDeleteThat is an amusing comment, seeing that it is citable. When one admits to 'researching heavily' one can only assume the case is actually not first context. So the aforementioned blog post is fitting, although does smack of irony.
ReplyDeletePatrick Ryall I'll bet you dollars to donuts the author of the article was not reading scholarly articles. The article itself was informational not scholarly and directed toward a "lay" audience. And, that's not the point of my crazed post.
ReplyDeleteThe reference notes for Chapter 11 in Google Semantic Search are cited on pp. 217-218.
I am not technically inclined and have stated so more than once here on G+. I do like to keep abreast of semantic search because often potential clients request misplaced emphasis when asking for writing.
David Amerland Ever the gentleman. Agree, it all sorts...eventually.
ReplyDeleteI can fully understand that Zara Altair even though the chicken came first and if direct references were quoted from David's book with no citation, which is not right where does inspiration come from? I have in my scollary reference library papers going back to 2000. Covering trust, the 4 V's plus the 4 cornerstones of trust dynamics. Being a study of sociology, trust dynamics feature heavily within the discipline. So all I was pointing out is no idea is really unique just reworded for new audiences. Although, when it comes to literary works, citation should be included; otherwise you are claiming by definition, first hypothesis.
ReplyDeleteI would expand further but an afternoon snack has rendered me down to, one handed typing.
Patrick Ryall Thanks so much for your commentary. Enjoy your snack. :)
ReplyDelete