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David Gifford
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Ryoung Shin, Unit Leader and Erie Adams are researchers at Japan's RIKEN Institute Center for Sustainable Resource Science, and published this report March 5.

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New LOD Cloud Pictorial

+Chris Bizer dropped an announcement on the Linked Open Data mailing in regards to the new Linked Open Data Cloud pictorial, and more importantly, a new research paper covering how the data was crawled. 

A new research paper, to be presented at the upcoming ISWC (International Semantic Web Conference) was also part of the announcement. 

Naturally, you'll get more out of this with embedded Nanotations using RDF-Turtle notation.

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[1] -- Adoption of Linked Data Best Practices in Different Topical Domains

[2] -- Linked Open Data Cloud Pictorial (2014 Edition)

#LinkedData #SemanticWeb #Nanotation #ISWC2014 #ISWC   #RDF #BigData #SPARQL   #NewSQL   #Web30   #LOD  

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Scientists at the RIKEN Center for Sustainable Resource Science are drawing on lessons from natural and artificial systems to maximize agricultural productivity, remove harmful pollutants from the environment and create new ‘green’ materials and manufacturing processes.

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25 years ago... before broadband, banner ads & Buzzfeed... Tim Berners-Lee created the World Wide Web.

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Richard Cygniak suggestions for Taking Linked Data Architecture to the Next Level:
- Use convenient formats like CSV
- Early majority will publish data if direct benefit
- Concentrate on data integrators not just publishers
- Generic mashup engines solve architectural problems
Talk at Japan Semantic Web Conference 2014 at Keio University in Tokyo. March 7, 2014 
‬  #‎lod2013‬   

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Technologically assisted speed reading.  Your eyes don't move; the words do. Various forms of this trick, known as Rapid Serial Visual Presentation  have been around for decades. This new tweak uses a constant red letter placement for greater ease of reading. I can do 600 wpm easily. I'd like to try a whole book this way. Has anyone done that?

RSVP  see
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Epigenetic-related enzymes and molecules that are potential targets for drug discovery 
Researchers can control diseases using epigenetics by targeting the modifying enzymes that add or ‘write’ acetyl (Ac) or methyl groups (Me) onto histones, and the molecules that read or the enzymes that reverse these chemical modifications. (Figure 2)
28 February 2014
Minoru Yoshida, Group Director 
Chemical Genomics Research Group 
RIKEN Center for Sustainable Resource Science
Many diseases occur due to abnormalities in patterns of gene expression caused by epigenetic changes as a result of aging, stress or other factors. To address these changes and advance the field of medicine, Minoru Yoshida is leading research into the control of epigenetics using chemical compounds. Together with colleagues at the Chemical Genetics Laboratory, he is also investigating the activation of ‘dormant genes’ in plants and microorganisms to produce useful substances and to enable the cultivation of crops on arid and high-salinity soils.

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Arabidopsis thaliana is one of the most popular experimental plants. However, only 40% of its genes have at least one experimental Gene Ontology (GO) annotation assigned.
Systematic observation of mutant phenotypes is an important technique for elucidating gene functions. Indeed, several large-scale phenotypic analyses have been performed and have generated phenotypic data sets from many Arabidopsis mutant lines and overexpressing lines, which are freely available online.
Since each Arabidopsis mutant line database uses individual phenotype expression, the differences in the structured term sets used by each database make it difficult to compare data sets and make it impossible to search across databases.
Therefore, we obtained publicly available information for a total of 66,209 Arabidopsis mutant lines, including loss-of-function (RATM and TARAPPER) and gain-of-function (AtFOX and OsFOX) lines, and integrated the phenotype data by mapping the descriptions onto Plant Ontology (PO) and Phenotypic Quality Ontology (PATO) terms. This approach made it possible to manage the four different phenotype databases as one large data set.
Here, we report a publicly accessible web-based database, the RIKEN Arabidopsis Genome Encyclopedia II (RARGE II;, in which all of the data described in this study are included.
Using the database, we demonstrated consistency (in terms of protein function) with a previous study and identified the presumed function of an unknown gene. We provide examples of AT1G21600, which is a subunit in the plastid-encoded RNA polymerase complex, and AT5G56980, which is related to the jasmonic acid signaling pathway.
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