/webapp/extensions. Page 5. Step 3 â Create Project o Double click on google-refine application ... o Before start bui
Space Research Institute and Geophysical Center, Russian Academy of Sciences, ...... by Microsoft Virtual Earth as background when displaying the data.
Nov 22, 2013 - large-scale data by taking advantages from both MapReduce (in ... practicality of HaCube for cube analysis over a large amount of data.
Hsin-Mei Cheng, Philip Gröger, Andreas Hartmann, and Michael Schlierf* ... ssDNA successfully with a drop in FRET efficiency in the presence of ADPâ¢BeF3 .... Joo, C., McKinney, S.A., Nakamura, M., Rasnik, I., Myong, S. and Ha, T. (2006).
The linearized form of the Langmuir adsorption isotherm: g m m ... The concentration of hexane in the gas phase: CA = adsorbed concentration of n-hexane. CA.
Aug 19, 2010 - SrTiO3, which occasionally appears in the form of cube-like nanocrystals of various sizes. .... crystallized area of the tubule, shown in figure 3(b), reveals that. SrTiO3 is nanocrystalline .... towards the base. During their descent
Data Cube: A Lattice of Cuboids time,item time,item,location time, item, location,
supplierc all time item location supplier time,location time,supplier item,location.
in a given data cube set is one that cannot be deduced from any other data ..... total maintenance cost of C. Therefore, the problem is to choose a maximal set P ...
Apr 12, 2017 - Data volume estimates are based on CEOS (2014). 277. A. Lewis et al. ... data' with approaches such as Google Earth Engine™, Hexagon's. M.appX™ .... Each Landsat scene includes approximately 36 × 106 pixels, each of which ..... This ar
In 2010 Tim Berners-Lee introduced a 5 star rating to his Linked Data design issues page to encourage ... about a 5 star rating for Linked (Open) Data [3].
We carefully selected 100 English words (see Appendix 1) from A selection of
GMAT vocabulary (Yu 1999), and then invited 20 Grade 2 English majors (not the
...
XML data cubes. As this framework is based on the high performing dwarf approach, we eliminate prefix and suffix redundancy to ensured condensed data ...
(6). > > (1). (8). > > (5). > (4). > (7). (2). (3). > > Rotations of the Cube. This
worksheet shows all the rotations of the cube. Ignore the man behind the curtain.
Queries with custom software to subset these files and identify events of interest ... The capability to analyze these data sources means that the viewer has utility.
applied space-time cube to data concerning movement of objects, i.e. changes .... of an event or the period of its existence can be indicated by a label placed on ...
Nov 30, 2017 - complements the conceptual view of the 'Datacube. Manifesto' [4] with a holistic system view, whose aim is to raise awareness for all necessary ...
Construction (2) contains 10 unit cubes and therefore its mass is 5.13 = 65 g. Note that the second solution of a) and the given one of b) uses the number of the ...
credit is permitted. To copy otherwise, to republish, to post on servers, to redistribute to lists, or to use any ... costs both in computation time and in storage space.
Abstract: In general, Geographical Information System (GIS) has four main components, namely data input, data model, data analysis and ... basis of geographical history data management; medical .... degree that are close to each other.
Aug 24, 2005 - redundant tuples coincide with those called Base Single. Fig. 2 Fact table R .... Flush(Accumulators[i]) exists), so this is the part where we have ...
Behind them lie conflicting interests, large value gaps, ... World, or GRIPS Global
Governance Program (G-cube) in short, which aims to .... Tetsushi Sonobe.
GRIPS Global Governance Program. G-cube. 2014—2015 p Gateway to ...
Tetsushi Sonobe. Program ... Behind them lie conflicting interests. large value
gaps.
We review existing ROLAP methods that implement the data cube and ... requested from Publications Dept., ACM, Inc., 2 Penn Plaza, Suite 701, New York, NY ...
zip file o Download RDF Refine Extension - a Google Refine extension for exporting RDF from: o http://refine.deri.ie/ o Extract the zip file to the folder /webapp/extensions
Step 3 – Create Project o Double
click on google-refine application o New tab will open in browser with google refine workspace o Click on Create Project o Click on Get Data From This Computer and choose excel file “resident_population_census2011.xls” o Click Next
CLEAN MESSY DATA
Step 4 – Unifying and Cleaning Data Click on the Worksheets you wish to Import: In this example is only one o To remove unwanted empty rows and cells o
o Uncheck Store blank rows o Uncheck Store blank cells as nulls
Type ignore first 1 line(s) at the beginning of file to remove unwanted rows o Parse next 1 line(s) as column headers to indicate the headers of our data columns o Click on Create Project o
Step 4 – Unifying and Cleaning Data
We can see that 20995 rows were imported to our project Click on Show 50 rows to view more data rows Still we need to remove some unwanted columns to get the raw data we need Remove columns: ◦ Επίπεδο Διοικητικής Διαίρεσης ◦ α/α ◦ Columns 6,7 and 8 By clicking on each column -> Edit column -> Remove this column
Step 4 – Unifying and Cleaning Data Also we wish to remove the first 4 rows which are totals from the data o We click on the of each row we wish to remove o Click All and then choose Facet – Facet by star to filter our dataset o On the left side you can now see two options: o
o True o False
Click on True -> All -> Edit Rows -> Remove all Matching rows o Click on False to see the remaining data. o Our Data are now Unified and Cleaned. o
BUILD RDF SKELETON
Step 5 – Reset RDF Skeleton o To
view and edit the RDF skeleton click on the RDF extension and then click on Edit RDF Skeleton… o You can see a basic skeleton generated automatically by the RDF extension. o However, is not a properly design structure so Click OK and then Click again on RDF extension but this time click on Reset RDF Skeleton… and OK
Step 6 – Add prefixes o Since
we wish to work with Data Cube Vocabulary we need to update the necessary prefixes
o Click on RDF -> Edit RDF Skeleton o Click on add prefix and type qb on the prefix field and click anywhere in the window o The URI field will be updated automatically o Click Save!!!
Step 7 – Base URI and URI patterns o Click edit and type http://linkedstatistics.gr o Before start building the skeleton it is important that you have already decided the URI patterns that you will give to your structure and data o The URIs we are going to use are the following: o Dataset http://linkedstatistics.gr/data/{table_name} o Schema – Structural components (DSD, Components Specifications)
http://linkedstatistics.gr/schema#{name} o Vocabulary (dimensions, measures, attributes)
http://linkedstatistics.gr/dic/{id} o Vocabulary Values
http://linkedstatistics.gr/dic/{id}#{value} o Observation Values
http://linkedstatistics.gr/data/{NameofDataset}#{Values of Dimensions sxeparated with comma}
Start Building Skeleton based on Data Cube Vocabulary
Step 8 – Define Components o Dimension(s)
ogeocode : Γεωγραφικός Κωδικός Καλλικράτη o Measure(s)
opopulation: Μόνιμος Πληθυσμός o Attribute(s)
oUnit of measure : Number of people
Step 8 – Define Components o
(8a) Define geocode o Click on add rdf:type and type qb:DimensionProperty o Click on (row index) URI o Choose The cell's content is used ... as a URI o Choose Constant Value and type the URI for this dimension (no need to repeat the base URI): dic/geocode
o Click on add:property -> property? -> rdfs:label o Click on Configure o Choose The cell's content is used ... as language-tagged text: el o Choose Constant Value and type: Γεωγραφικός Κωδικός Καλλικράτη
o Click Save !!! o Click on RDF Preview.
Step 8 – Define Components o
(8b) Define population o Click add another root node to create a new node for your graph structure o Click on add rdf:type and type qb:MeasureProperty o Click on (row index) URI o Choose The cell's content is used ... as a URI o Choose Constant Value and type: dic/population
o Click on add:property -> property? -> rdfs:label o Click on Configure o Choose The cell's content is used ... as language-tagged text: el o Choose Constant Value and type: Μόνιμος Πληθυσμός
o Click Save !!!
Step 8 – Define Components o (8c)
Define UnitOfMeasure
o Click add another root node to create a new node for your graph structure o Click on add rdf:type and type qb:AttributeProperty o Click on (row index) URI oChoose The cell's content is used ... as a URI oChoose Constant Value and type: dic/UnitOfMeasure
o Click on add:property -> property? -> rdfs:label o Click on Configure oChoose The cell's content is used ... as a text oChoose Constant Value and type: Unit of measure
o Click Save !!!
Step 9 – Define DataSet, DSD and Components Specifications o
(9a) Define DataSet
o Click add another root node to create a new node for your graph structure o Click on add rdf:type and type qb:DataSet o Click on (row index) URI o Choose The cell's content is used ... as a URI o Choose Constant Value and type the URI for this dimension (no need to repeat the base URI): data/PopulationPerGeocodeCensus2011
o Click on add:property -> property? -> rdfs:comment o Click on Configure o Choose The cell's content is used ... as language-tagged text: el o Choose Constant Value and type: Απογραφή Πληθυσμού Κατοικιών 2011. ΜΟΝΙΜΟΣ Πληθυσμός o Click Save !!!
Step 9 – Define DataSet, DSD and Components Specifications o (9b)
Define Data Structure Definition
o Click on add:property -> property? -> qb:structure o Click on Configure oChoose The cell's content is used ... as a blank node to create a new node for the DSD and click OK
o Click on add rdf:type and type qb:DataStructureDefinition o Click on blank (cell) oChoose The cell's content is used ... as a URI oChoose Constant Value and type: schema/PopulationPerGeocodeCensus2011 oClick Save !!!
Step 9 – Define DataSet, DSD and Components Specifications o
9c) Define Component Specifications with dimensions, measures and attributes o Click on add:property -> property? -> qb:component (Repeat 3 times) o Click on Configure on each three new components o Choose The cell's content is used ... as a blank node to create a new node for the Component Specification node and click OK o Click on add rdf:type and type: qb:ComponentSpecification o Click on blank (cell)
(
o Choose The cell's content is used ... as a URI o Choose Constant Value and type : 1. schema/geocode 2. schema/population 3. Schema/UnitOfMeasure
o For each component specification Click on: 1. 2. 3.
o For each component Click on Configure o Choose The cell's content is used ... as a URI o Choose Constant Value and type: 1. dic/geocode 2. dic/population 3. dic/UnitOfMeasure
Step 10 – Create URIs for the dimensions o Click add another root node to create a new node for your graph structure o Click on (row index) URI o Choose The cell's content is used ... as a URI o Choose ‘Γεωγραφικός κωδικός Καλλικράτη’
o Click on use custom expression ->preview/edit and type 'http://linkedstatistics.gr/dic/geocode#'+value.urlify() or 'dic/geocode#'+value.urlify() o Click on add:property -> property? -> rdfs:label o Click on Configure o Choose The cell's content is used ... as language-tagged text: el o Choose ‘Περιγραφή’
o Click Save !!!
Step 11 – Define observations o o
Click add another root node to create a new node for your graph structure Click on (row index) URI o o
o o
o
Choose The cell's content is used ... as a URI Choose ‘Μόνιμος Πληθυσμός’
Click on use custom expression ->preview/edit and type 'data/PopulationPerGeocodeCensus2011#'+cells["Γεωγραφικός κωδικός Καλλικράτη"].value.urlify() Click on 1. 2.
Click on Configure to give values on each component o
Choose The cell's content is used ...
o o o
as a URI for the geocode and the UnitOfMeasure as integer for the population Use content of from cell … 1. 2. 3.
o o
Γεωγραφικός κωδικός Καλλικράτη, use custom expression ->preview/edit and type 'dic/geocode#'+value.urlify() Μόνιμος πληθυσμός Constant Value and type the URI: http://dbpedia.org/reserouce/People
Click Save!! Click OK -> Export -> RDF as Turtle to view the RDF file
