You can blog from Windows Live writer! August 29, 2010
Posted by Anand Mallaya in computers, internet.Tags: blog, blogging, editor, Live Writer, tool, Windows
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This is actually a test as well as info. You can now blog from Windows Live Writer, a blogging platform for Windows. You can save locally, can post to most of the popular blogging platform with xmlrpc support post draft to blog etc. One draw back I figured out is that it can not download wordpress free account theme. So you can’t see how your post actually looks in the blog while offline.
Some good editing features are : inserting table, map etc.
Videos on Semantic Web and Linked data July 25, 2010
Posted by Anand Mallaya in internet, technology, web.Tags: linked data, linkeddata, LOD, semantic, semantic web, TED, videos
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TED talks – Tim Berners Lee On the Next Web
TED -Talks – Tim Berners-Lee: The year open data went worldwide
TED Talks – Hans Rosling on HIV: New facts and stunning data visuals – A use-case of Linkeddata
Tim Berners lee talking about at Gov 2.0 Expo 2010
The Semantic Web of Data Tim Berners-Lee
practical semantic web – creating a catalog of Linked data April 4, 2010
Posted by Anand Mallaya in computers, internet, technology, tutorial, web.Tags: dataset, linked data, linked data catalog, linked open data catalog, LOD catalog, RDF, semantic web, VoID vocabulary
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Today I am going to work on creating a semantic web document. I am going to make a catalog of linked data datasets listed under linkeddata.org. Here is the list I am going to publish in RDF.
- choose the correct vocabulary – there are different generic vocabularies like Dublin Core, FOAF etc and specialized vocabulary like Dcat, Void etc. for creating catalogs. Dcat is designed for government data catalogs, so I choose VoID vocabulary, which is designed for single dataset provider. It uses generic vocabularies lke FOAF and DC as well.
- Select suitable tools - Tools to edit the RDF document. There are plenty of them ,in this case and RDF editor, like the Rhodonite tool for RDF editing and browsing. But I couldn’t understand it well because of poor documentation and help. So I chose an online VoID editor from DERI Galway. Though the result is in Turtle format, there are tools to convert turtle document to RDF/XML format. Like this one online : RDF Validator/converter rdfabout.com
- Creating the semantic grpah – first I am going to choose a dataset and add it to my catalog. To start with, I chose CrunchBase entry listed in linkeddata.org. Go to VoID editor and add the following details in it
- Convert in to RDF/XML file(serialize) – copy the dataset details in turtle notation and go to RDF/XML converter tool. And paste the turtle notated content there and select input format as N-Triples/Turtle, and click validate. The result is given below.
- Now repeat the above process and create entries for all the datasets listed in the Linkeddata.org.
- Combine the RDF entries in to a single file, no need to copy all the tags but starting from <void:Dataset .. >only
something like
<?xml version=”1.0″?>
<rdf:RDF xmlns:foaf=”http://xmlns.com/foaf/0.1/” xmlns:void=”http://rdfs.org/ns/void#”
xmlns:rdf=”http://www.w3.org/1999/02/22-rdf-syntax-ns#”
xmlns:dcterms=”http://purl.org/dc/terms/”>
<void:Dataset rdf:about=”http://cb.semsol.org/”>
…
…
</void:Dataset>
<void:Dataset rdf:about=”http://dbpedia.org/”>
….
….
<void:Dataset>
<void:Dataset rdf:about=”http://www.geonames.org/”>
…
…
<void:Dataset>
</rdf:RDF> - And the catalog is ready in RDF/XML with all the datasets added. Save it as a file with extension .rdf like Linked_data_catalog.rdf. Now the machine can understand (if programmed wisely) to some extend what data are available there to convert in to meaningful information and then to knowledge.
You can find the catalog here: Linkeddata datasets catalog(note: not yet ready, comeback later )
Dataset URI: http://cb.semsol.org/
Dataset Homepage URI: http://cb.semsol.org/
Dataset Name: Crunchbase
Dataset Description: RDFized Crunchbase entries
Example Resource: http://cb.semsol.org/company/yahoo
Dataset Topic : business, database
Vocabulary URI: http://www.w3.org/1999/02/22-rdf-syntax-ns# , http://www.w3.org/2003/01/geo/wgs84_pos#, http://cb.semsol.org/ns#
Publisher : http://semsol.com
SPARQL endpoint : http://cb.semsol.org/sparql
Now the dataset entry for cruchbase dataset is ready in VoID vocabulary, in the right side textarea. It is in Turtle notation.
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .@prefix foaf: <http://xmlns.com/foaf/0.1/> .@prefix dcterms: <http://purl.org/dc/terms/> .@prefix void: <http://rdfs.org/ns/void#> .@prefix : <#> .
## your dataset<http://cb.semsol.org/> rdf:type void:Dataset ; foaf:homepage <http://cb.semsol.org/> ; dcterms:title “Crunchbase” ; dcterms:description “RDFized Crunchbase entries” ; dcterms:publisher <http://semsol.com> ; void:sparqlEndpoint <http://cb.semsol.org/sparql> ; void:vocabulary <http://www.w3.org/1999/02/22-rdf-syntax-ns#> ; void:vocabulary <http://www.w3.org/2003/01/geo/wgs84_pos#> ; void:vocabulary <http://cb.semsol.org/ns#> ; void:exampleResource <http://cb.semsol.org/company/yahoo> ; dcterms:subject <http://dbpedia.org/resource/Database> ; dcterms:subject <http://dbpedia.org/resource/Business> .
<?xml version=”1.0″?>
<rdf:RDF xmlns:foaf=”http://xmlns.com/foaf/0.1/” xmlns:void=”http://rdfs.org/ns/void#”
xmlns:rdf=”http://www.w3.org/1999/02/22-rdf-syntax-ns#”
xmlns:dcterms=”http://purl.org/dc/terms/”>
<void:Dataset rdf:about=”http://cb.semsol.org/”>
<foaf:homepage rdf:resource=”http://cb.semsol.org/” />
<dcterms:title>Crunchbase</dcterms:title>
<dcterms:description>RDFized Crunchbase entries</dcterms:description>
<dcterms:publisher rdf:resource=”http://semsol.com” />
<void:sparqlEndpoint rdf:resource=”http://cb.semsol.org/sparql” />
<void:vocabulary rdf:resource=”http://www.w3.org/1999/02/22-rdf-syntax-ns#” />
<void:vocabulary rdf:resource=”http://www.w3.org/2003/01/geo/wgs84_pos#” />
<void:vocabulary rdf:resource=”http://cb.semsol.org/ns#” />
<void:exampleResource rdf:resource=”http://cb.semsol.org/company/yahoo” />
<dcterms:subject rdf:resource=”http://dbpedia.org/resource/Database” />
<dcterms:subject rdf:resource=”http://dbpedia.org/resource/Business” />
</void:Dataset>
</rdf:RDF>
Semantic Web bookmarks collection December 11, 2009
Posted by Anand Mallaya in internet, web.Tags: articles, bookmarks, companies, linked data, links, semantic, semantic web, tools, tutorials, web
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Semantic Web
- Twine – Organize, Share, Discover Information Around Your Interests | Twine
- W3C Semantic Web Section
- jaanix – tune the web
- microformats.org
- SemanticHacker
- wiki.dbpedia.org : About
- JavaScript Visual Wordnet
- Distributed Object Computing Research Group Overview
- SenseBot – semantic search engine that finds sense on the Web
- Cognition :: Giving Technologies New Meaning
- ProgrammableWeb – Mashups, APIs, and the Web as Platform
- Planning a Semantic Web site
- SPARQL Calendar Demo: Step-by-step Example – TechnicaLee Speaking
- The Twitter Times: semanticwebnews
- The Map of Data – Sindice
- Some Datasets Available on the Web » Data Wrangling Blog
- Dapper: The Data Mapper
- GeoWordNet
- Why RDFa is the only Web scaleable metadata format for next-generation search engines
- Semantic Web set for critical mass | Applications – InfoWorld
- The Semantic Web in Action – Scientific American – December 2007
- SitePoint » Obama’s Groundbreaking use of the Semantic Web
- Cultivate Interactive Issue 7: Challenges for a Semantic Web
- The original proposal of the WWW, HTMLized
- The Semantic Web: opportunities and challenges for next-generation Web applications
- 4 New APIs: US Congress, Semantic Search, Fashion Search Engine, Read-Write Mapping
- Tim Berners-Lee and the Semantic Web, Linked Data, RDF and a Worldwide Database « ResourceShelf
- Official Google Blog: World Bank public data, now in search
- When Linked Data Rules Fail at Frederick Giasson’s Weblog
- The new smarter web – The Irish Times – Fri, Dec 04, 2009
- Magpie – a tool for Semantic Web
- Flex SPARQL Query Viewer
- Create – Dorthy.com Alpha
- HitCompanies | Find companies and export lists for free – Search Results
- IYOUIT Portal – Share Life Blog Play
- DailyPerfect, predictively personalized news, behavioral targeting technology
- SearchMonkey – YDN
- SemanticProxy
- QDOS – measure your internet status
- Visual Modeling Forum – Visual OWL
- WikiProfessional Concept Web
- Welcome to the Mulgara Project!
- Neverspace : Main
- WebProtégé
- OpenLink Data Explorer
- OpenLink iSPARQL
- Sindice data inspector
- SPARQL By Example
- OpenLink AJAX Toolkit (OAT) Wiki : Interactive Sparql Query Builder Basic Tutorial
- SPARQL tutorial
- The Semantic Web and Challenges – Slide list
- Tutorial on OWL
- Semantic Puzzle
- Web3.0
- TopQuadrant
- Asemantics
- Zitgist – Quality Linked Data Products and Services
- semsol – semantic web solutions
- TriviumRLG LLC | Strategic Development of Information Assets
- Talis
- The Semantic Puzzle | Open World Assumptions
- Ontotext – Semantic Technology Developer
- Semantic Technologies Center
- FrontPage – The Open Knowledge Foundation
- Home | OpenCalais
- TaskForces/CommunityProjects/LinkingOpenData/SemWebClients – ESW Wiki
- The Transducer
- Tom Heath – Home
- Semantic Agent – Programming Multi Agent Systems in SWRL
- ebSemantics – enabling Semantic Web based E-Commerce
- 8th International Semantic Web Conference (ISWC 2009)
- Seminal resources on general semantics and ontologies ? – Semantic Overflow
- Semantic Overflow
- The Cambridge Semantic Web Meetup Group (Cambridge, MA) – Meetup.com
- Tones – Home
- Bluereek
- BBC – Music – Home
- backstage.bbc.co.uk :: Front Page :: |BBC’s developer network to encourage innovation and support new talent
- Events/BONyConference – STLab
- Linked Open Data Around-The-Clock
- CKAN – Comprehensive Knowledge Archive Network
- SchemaWeb – RDF schema directory
- Linkeddata research centre at DERI
- Factual
- New York Times
- Ordnance Survey – UK
- Headup
- Linked data at Guardian
Data sources
- Data Sets | Linked Data – Connect Distributed Data across the Web
Articles
Tools
Tutorials
SPARQL
Companies
Sites
A for Amazon, B for Best buy – A to Z for Google, Wikipedia, Yahoo and Bing October 18, 2009
Posted by Anand Mallaya in internet, web.Tags: autocomplete, interesting, keywords, language, life, search engines, SEO, society, top, trend
2 comments
Internet have changed our lives for sure. We learned A for Apple when we were kids. And in Google age it all changed. Let us look at how different they are from the ideal ‘A for Apple’ construct. These are from the first entry of auto search assist suggestions from top search engines.
According to Google.com
A for Amazon
B for best buy
C for Craigslist
D for dictionary
E for ebay
F for Facebook
G for Gmail
H for Hotmail
I for IMDB
J for Jet blue
K for Kohls
L for lowes
M for mapquest
N for Netflix
O for Old Navy
P for Pandora
Q for quotes
R for realtor.com
S for southwest airlines
T for target
U for Usps
V for Verizon wireless
W for Walmart
X for Xm radio
Y for youtube
Z for zillow
According to Yahoo.com
A for Amazon
B for best buy
C for Craigslist
D for dictionary
E for ebay
F for Facebook
G for Google
H for Hotmail
I for Ikea
J for Jobs
K for Kmart
L for lyrics
M for myspace
N for Netflix
O for Orbitz
P for People search
Q for qvc
R for recipes
S for southwest airlines
T for target
U for Ups
V for Verizon wireless
W for Weather
X for Xbox 360
Y for youtube
Z for zip codes
According to Wikipedia
A for Animal
B for Brazil
C for Canada
D for Department of France
E for England
H for Hispanic (U.S. Census)
I for India
J for Japan
K for Km²(square kilometer)
L for List of sovereign states
M for marriage
N Native American(U.S. Sensus)
O for Ontario
P for Poland
Q for quebec
R for Race and ethnicity in the United States Census
S for spain
T for the Newyork Times
U for United States
V for village
W for World War II
X for Xbox 360
Y for Yale University
Z for Zip code
According to Bing
A for AOL
B for Bank of America
C for Craigslist
D for dictionary
E for ebay
F for facebook
G for Google
H for Hotmail
I for irs
J for jcpenney
K for kohls
L for lowes
M for myspace
N for netflix
O for office depot
P for pogo
Q for qvc
R for runescape
S for sears
T for target
U for USPS
V for verizon
W for yahoo.com (weird)
X for XM radio
Y for yahoo
Z for zip codes
Zii StemCell computing revisited- Plazma and Android power August 7, 2009
Posted by Anand Mallaya in computers, computing, multimedia, technology.Tags: Android, Creative, Creative Technologies, gadgets, handheld, hardware, platform, StemCell, stemcell computing, zii, Zii Egg, ZMS-05
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Some time back we have seen the mystery of the Zii StemCell computing being unravelled. After that many were wondering what Creative is up to with the chips. Now they have come back with Zii EGG Handheld StemCell Computer that Supports the Plaszma OS or Android™ OS . Good move !. Android hmmm!
The platform boasts multi-gesture touch display(cool!) , Text-to-speech Feature, Hardware GPS Receiver, Wifi, 32GB of internal memory and up to 32GB of external memory, Bluetooth, USB 2.0 and accelrometer.
They are heard of iPhone. No 3G? shame! Check dictionary for competence. Get USB 3.0 dudes.
Plazma OS, based on the linux 2.6 kernel is said to show some gimmicks like 3D grphics (‘ in a battery powered small handheld’), advanced media and communication capabilities. But they say it is not a phone but a computer! in 108 gms. Hmmm! I wonder.
Also support a Zii optimized Android OS. Supposedly to harness the power of the StemCell computing technology of the ZMS-05 processor.
Added value – bulk prize of 199$ per piece price tag plus lot of development support and market ready design.
Gonna rock or bust?! Its all about the all-knowing crowd and the economy.
Twitter – the dawn of the real-time web July 5, 2009
Posted by Anand Mallaya in internet, technology, web.Tags: microblogging, real-time, real-time web, realtime, twitter, web
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Twitter.com is omnipresent in the web. Since its inception in 2006, in a short time span Twitter has grown to such a magnitude that Google got scared. The reason – collaboration and real-time. The incredible combination resulted in phenomenal popularity. The service is very simple and useful and became omnipresent in the web.
image source: Google trends
If google discovered the power of data, Twitter discovered the real-time. In this fast world real-time means a lot. And data is powered by the evergrowing crowds. The API(Application Programming Interface) supported by twitter offered the data open to the technical community. And that proved just right thing to do. The data was used in a very creative ways.
From stock trading (Stocktwits) and real estate(TweetLister) to diet and exercise(Twackit), twitter found a long list of applications.
And twitter is attracting a large number of famous people from celebrities, writers and millionaires to politicians and leaders, all finds time to tweet.
Let us wait and see what wonders Twitter will bring in forecoming days.




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