This year ECMA International will be ratifying the biggest update to the JavaScript language in its history. In this talk we'll look at key features already appearing in browsers as well as those coming in the near future. We'll also explore how you can begin leveraging the power of ES6 across all browsers today. If you haven't looked at JavaScript recently, you soon realize that a bigger, better world awaits.
Back in 2015, Square and Google collaborated to launch gRPC, an open source RPC framework backed by protocol buffers and HTTP/2, based on real-world experiences operating microservices at scale. If you build microservices, you will be interested in gRPC.
This webcast covers:
- a technical overview of gRPC
- use cases and applicability in your stack
- a deep dive into the practicalities of operationalizing gRPC
GraphQL is a query language for APIs and a runtime for fulfilling those queries. It gives clients the power to ask for exactly what they need, which makes it a great fit for modern web and mobile apps. In this talk, we explain why GraphQL was created, introduce you to the syntax and behavior, and then show how to use it to build powerful APIs for your data. We will also introduce you to AWS AppSync, a GraphQL-powered serverless backend for apps, which you can use to host GraphQL APIs and also add real-time and offline capabilities to your web and mobile apps. You can follow along if you have an AWS account – no GraphQL experience required!
Level: Beginner
Speaker: Rohan Deshpande - Sr. Software Dev Engineer, AWS Mobile Applications
This year ECMA International will be ratifying the biggest update to the JavaScript language in its history. In this talk we'll look at key features already appearing in browsers as well as those coming in the near future. We'll also explore how you can begin leveraging the power of ES6 across all browsers today. If you haven't looked at JavaScript recently, you soon realize that a bigger, better world awaits.
Back in 2015, Square and Google collaborated to launch gRPC, an open source RPC framework backed by protocol buffers and HTTP/2, based on real-world experiences operating microservices at scale. If you build microservices, you will be interested in gRPC.
This webcast covers:
- a technical overview of gRPC
- use cases and applicability in your stack
- a deep dive into the practicalities of operationalizing gRPC
GraphQL is a query language for APIs and a runtime for fulfilling those queries. It gives clients the power to ask for exactly what they need, which makes it a great fit for modern web and mobile apps. In this talk, we explain why GraphQL was created, introduce you to the syntax and behavior, and then show how to use it to build powerful APIs for your data. We will also introduce you to AWS AppSync, a GraphQL-powered serverless backend for apps, which you can use to host GraphQL APIs and also add real-time and offline capabilities to your web and mobile apps. You can follow along if you have an AWS account – no GraphQL experience required!
Level: Beginner
Speaker: Rohan Deshpande - Sr. Software Dev Engineer, AWS Mobile Applications
YouTube Link: https://youtu.be/Ia0FSogTRaw
** Full Stack Web Development Training: https://www.edureka.co/masters-program/full-stack-developer-training **
This Edureka PPT on What is JavaScript explains all the fundamentals of JavaScript with examples. It also explains various features and applications of JavaScript in the following sequence:
Origin of JavaScript
What is JavaScript?
What can JavaScript do?
JavaScript Frameworks
HTML vs CSS vs JavaScript
Benefits of JavaScript
JavaScript Fundamentals
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Here I discuss about reactive programming, observable, observer and difference between observable and promise.
Also discuss some of important operators like forkJoin, switchMap, from, deboucneTime, discardUntilChanged, mergeMap. I discuss some of observable creation function.
Talk given at DevTeach Montreal on RxJS - The Basics & The Future.
Example repo: https://github.com/ladyleet/rxjs-test
Have questions? Find me on twitter http://twitter.com/ladyleet
Open Research Problems in Linked Data - WWW2010Juan Sequeda
These are the Open Research Problems of Linked Data slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010
My Linked Data tutorial presentation that I presented at Semtech 2012.
http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4724
YouTube Link: https://youtu.be/Ia0FSogTRaw
** Full Stack Web Development Training: https://www.edureka.co/masters-program/full-stack-developer-training **
This Edureka PPT on What is JavaScript explains all the fundamentals of JavaScript with examples. It also explains various features and applications of JavaScript in the following sequence:
Origin of JavaScript
What is JavaScript?
What can JavaScript do?
JavaScript Frameworks
HTML vs CSS vs JavaScript
Benefits of JavaScript
JavaScript Fundamentals
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Here I discuss about reactive programming, observable, observer and difference between observable and promise.
Also discuss some of important operators like forkJoin, switchMap, from, deboucneTime, discardUntilChanged, mergeMap. I discuss some of observable creation function.
Talk given at DevTeach Montreal on RxJS - The Basics & The Future.
Example repo: https://github.com/ladyleet/rxjs-test
Have questions? Find me on twitter http://twitter.com/ladyleet
Open Research Problems in Linked Data - WWW2010Juan Sequeda
These are the Open Research Problems of Linked Data slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010
My Linked Data tutorial presentation that I presented at Semtech 2012.
http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4724
Presentation created for the CILIP Cataloguing Interest Group event on Linked Data, 25th November 2013 (http://www.cilip.org.uk/cataloguing-and-indexing-group/events/linked-data-what-cataloguers-need-know-cig-event)
Linked Open Data Principles, benefits of LOD for sustainable developmentMartin Kaltenböck
Presentation held on 18.09.2013 at the OKCon 2013 in Geneva, Switzerland in the course of the workshop: How Linked Open data supports Sustainable Development and Climate Change Development by Martin Kaltenböck (SWC), Florian Bauer (REEEP) and Jens Laustsen (GBPN).
Incremental Export of Relational Database Contents into RDF GraphsNikolaos Konstantinou
In addition to tools offering RDF views over databases, a variety of tools exist that allow exporting database contents into RDF graphs; tools proven that in many cases demonstrate better performance than the former. However, in cases when database contents are exported into RDF, it is not always optimal or even necessary to dump the whole database contents every time. In this paper, the problem of incremental generation and storage of the resulting RDF graph is investigated. An implementation of the R2RML standard is used in order to express mappings that associate tuples from the source database to triples in the resulting RDF graph. Next, a methodology is proposed that enables incremental generation and storage of an RDF graph based on a source relational database, and it is evaluated through a set of performance measurements. Finally, a discussion is presented regarding the authors’ most important findings and conclusions.
In this Chapter, we summarize and discuss the material presented throughout this book. We recapitulate what is presented and discussed in each Chapter. We discuss the most interesting aspects of the Web of Data landscape, highlighting its main contributions, and then continue with a discussion, mentioning our most important observations, including domain-specific benefits in the LOD domain. We conclude the Chapter with a discussion of open research challenges in the Linked Data domain.
An Approach for the Incremental Export of Relational Databases into RDF GraphsNikolaos Konstantinou
Several approaches have been proposed in the literature for offering RDF views over databases. In addition to these, a variety of tools exist that allow exporting database contents into RDF graphs. The approaches in the latter category have often been proved demonstrating better performance than the ones in the former. However, when database contents are exported into RDF, it is not always optimal or even necessary to export, or dump as this procedure is often called, the whole database contents every time. This paper investigates the problem of incremental generation and storage of the RDF graph that is the result of exporting relational database contents. In order to express mappings that associate tuples from the source database to triples in the resulting RDF graph, an implementation of the R2RML standard is subject to testing. Next, a methodology is proposed and described that enables incremental generation and storage of the RDF graph that originates from the source relational database contents. The performance of this methodology is assessed, through an extensive set of measurements. The paper concludes with a discussion regarding the authors' most important findings.
Transient and persistent RDF views over relational databases in the context o...Nikolaos Konstantinou
As far as digital repositories are concerned, numerous benefits emerge from the disposal of their contents as Linked Open Data (LOD). This leads more and more repositories towards this direction. However, several factors need to be taken into account in doing so, among which is whether the transition needs to be materialized in real-time or in asynchronous time intervals. In this paper we provide the problem framework in the context of digital repositories, we discuss the benefits and drawbacks of both approaches and draw our conclusions after evaluating a set of performance measurements. Overall, we argue that in contexts with infrequent data updates, as is the case with digital repositories, persistent RDF views are more efficient than real-time SPARQL-to-SQL rewriting systems in terms of query response times, especially when expensive SQL queries are involved.
This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly information and sensor data. It presents how Linked Data is used for web-scale data integration, information management and search. Special emphasis is given to the publication of Linked Data from relational databases as well as from real-time sensor data streams. The authors also trace the transformation from the document-based World Wide Web into a Web of Data. Materializing the Web of Linked Data is addressed to researchers and professionals studying software technologies, tools and approaches that drive the Linked Data ecosystem, and the Web in general.
This chapter introduces the semantic modeling procedure, detailing its technical characteristics, possibilities and limitations. First, we present the languages that are used for semantic description. We present RDF, RDFS and OWL, describe their expressiveness in terms of describing Web Resources, and the abilities they provide in order to describe, query, administer and manage resources at a semantic layer. Next, we present the vocabularies that are used in order to provide common grounds in understanding and communicating ideas and concepts. The technologies, together with the vocabularies used, altogether comprise the modern landscape of Semantic Web/Linked Data applications and serve as the basis for maintaining, analyzing datasets and building applications on top of them.
This chapter provides an overview of the methodologies and technologies that support Linked Data designing and publishing. More specifically, this chapter starts with a presentation of the rationale and a discussion about how data can be opened up (i.e. published under an open license). Basic principles are first introduced regarding the cases in which content can be opened up and also, the most common approaches are presented in accomplishing this. Next, we discuss about how data can be modeled, authored, serialized and stored. In this chapter we also provide an overview of the most common technical solutions and widely used software tools that can serve this purpose. Overall, the chapter aims to provide an analysis of the sub-problems into which the Linked Open Data publishing task is to be broken down, namely opening, modeling, linking, processing, and visualizing content, followed by a presentation of the most representative software solutions.
In this chapter, we introduce and discuss the problems that Linked Data solve and the concepts that are related to these problems. We introduce and analyze the basic concepts that are related to the generation of Linked Data and the Semantic Web in general. We provide a brief history of the Semantic Web and the associated evolution of concepts, problem frameworks and solution approaches, all targeted at offering efficient and intelligent solutions to information representation, management and exploitation. More specifically, we introduce the main reasons for the creation of the Semantic Web and the problems that it addresses. Next, we discuss the distinctions between basic terms such as data, information, knowledge, metadata, ontologies, semantic annotations etc. We introduce the notions of interoperability, integration, merging, mapping, and continue with introducing ontologies, reasoners, knowledge bases, all fundamental concepts in the Linked Data ecosystem.
Entity Linking in Queries: Tasks and EvaluationFaegheh Hasibi
Slides for the ICTIR 2015 paper "Entity Linking in Queries: Tasks and Evaluation"
Annotating queries with entities is one of the core problem areas in query understanding. While seeming similar, the task of entity linking in queries is different from entity linking in documents and requires a methodological departure due to the inherent ambiguity of queries. We differentiate between two specific tasks, semantic mapping and interpretation finding, discuss current evaluation methodology, and propose refinements. We examine publicly available datasets for these tasks and introduce a new manually curated dataset for interpretation finding. To further deepen the understanding of task differences, we present a set of approaches for effectively addressing these tasks and report on experimental results.
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
Fluidinfo: Publishing in an Openly Writeable WorldFluidinfo
The slides I used during my presentation at Pearson's "From Book to Tablet: How Data is changing publishing" event on 2011/04/13 in London. I've added some notes.
"Why the Semantic Web will Never Work" (note the quotes)James Hendler
This talk refutes some criticisms of the semantic web, but also outlines some research challenges we must overcome if we are to ever realize Tim Berners-Lee's original Semantic Web vision.
Integrating Semantic Web with the Real World - A Journey between Two Cities ...Juan Sequeda
(The original version of this talk was a Keynote at KCAP2017. This is the final version of the slides after giving this talk 14 times in 2018)
An early vision in Computer Science has been to create intelligent systems capable of reasoning on large amounts of data. Today, this vision can be delivered by integrating Relational Databases with the Semantic Web using the W3C standards: a graph data model (RDF), ontology language (OWL), mapping language (R2RML) and query language (SPARQL). The research community has successfully been showing how intelligent systems can be created with Semantic Web technologies, dubbed now as Knowledge Graphs.
However, where is the mainstream industry adoption? What are the barriers to adoption? Are these engineering and social barriers or are they open scientific problems that need to be addressed?
This talk will chronicle our journey of deploying Semantic Web technologies with real world users to address Business Intelligence and Data Integration needs, describe technical and social obstacles that are present in large organizations, and scientific and engineering challenges that require attention.
Integrating Semantic Web in the Real World: A Journey between Two Cities Juan Sequeda
Keynote at The 9th International Conference on Knowledge Capture (KCAP2017), Austin, Texas, Dec 2017
An early vision in Computer Science has been to create intelligent systems capable of reasoning on large amounts of data. Today, this vision can be delivered by integrating Relational Databases with the Semantic Web using the W3C standards: a graph data model (RDF), ontology language (OWL), mapping language (R2RML) and query language (SPARQL). The research community has successfully been showing how intelligent systems can be created with Semantic Web technologies, dubbed now as Knowledge Graphs.
However, where is the mainstream industry adoption? What are the barriers to adoption? Are these engineering and social barriers or are they open scientific problems that need to be addressed?
This talk will chronicle our journey of deploying Semantic Web technologies with real world users to address Business Intelligence and Data Integration needs, describe technical and social obstacles that are present in large organizations, and scientific challenges that require attention.
Integrating Relational Databases with the Semantic Web: A ReflectionJuan Sequeda
This is a lecture given at the 2017 Reasoning Web Summer School
It has been clear from the beginning that the success of the Semantic Web hinges on integrating the vast amount of data stored in Relational Databases. In 2007, the W3C organized a workshop on RDF Access to Relational Databases. In 2012, two standards were ratified that map relational data to RDF: Direct Mapping and R2RML.
In this lecture, I will reflect on the last 10 years of research results and systems to integrate Relational Databases with the Semantic web. I will provide an answer to the following question: how and to what extent can Relational Databases be integrated with the Semantic Web? I will review how these standards and systems are being used in practice for data integration and discuss open challenges.
Graph Query Languages: update from LDBCJuan Sequeda
The Linked Data Benchmark Council (LDBC) is a non-profit organization dedicated to establishing benchmarks, benchmark practices and benchmark results for graph data management software. The Graph Query Language task force of LDBC is studying query languages for graph data management systems, and specifically those systems storing so-called Property Graph data. The goals of the GraphQL task force are to:
Devise a list of desired features and functionalities of a graph query language.
Evaluate a number of existing languages (i.e. Cypher, Gremlin, PGQL, SPARQL, SQL), and identify possible issues.
Provide a better understanding of the design space and state-of-the-art.
Develop proposals for changes to existing query languages or even a new graph query language.
This query language should cover the needs of the most important use-cases for such systems, such as social network and Business Intelligence workloads.
This talk will present an update of the work accomplished by the LDBC GraphQL task force. We also look for input from the graph community.
Virtualizing Relational Databases as Graphs: a multi-model approachJuan Sequeda
Talk given at Smart Data 2017
Relational Databases are inflexible due to the rigid constraints of the relational data model. If you have new data that doesn’t fit your schema, you will need to alter your schema (add a column or a new table). This is a task that is not always possible. IT departments don't have time, or they won't allow it - just more nulls that can lead to query performance degradation, etc.
A goal of graph databases is to address this problem with their schema-less graph data model. However, many businesses have large investments in commercial RDBMSs and their associated applications and can't expect to move all of their data to a graph database.
In this talk, I will present a multi-model graph/relational architecture solution. Keep your relational data where it is, virtualize it as a graph, and then connect it with additional data stored in a graph database. This way, both graph and relational technologies can seamlessly interact together.
Presentation at Data/Graph Day Texas Conference.
Austin, Texas
January 14, 2017
This talk grew out Juan Sequeda's office hours following the Seattle Graph Meetup. Some of the questions posed were: How do I recognize problem best solved with a graph solution? How do I determine the best type of graph to solve the problem? How do I manage the data where both graph and relational operations will be performed? Juan did such a great job of explaining the options, we asked him to develop his responses into a formal talk.
Consuming Linked Data by Humans - WWW2010Juan Sequeda
These are the Consuming Linked Data by Humans slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010
Consuming Linked Data by Machines - WWW2010Juan Sequeda
These are the Consuming Linked Data by Machines slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010. These slides are originally by Patrick Sinclair from BBC
These are the Linked Data Applications slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010.
This slide set was not part of our tutorial that was presented at ISWC2009
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
6. What is the Web? “… the Web, is a system of interlinked hypertext documents accessed via the Internet. With a web browser, one can view web pages that may contain text, images […] and navigate between them via hyperlinks” http://en.wikipedia.org/wiki/World_Wide_Web
8. History of the Web Created by Tim Berners-Lee at CERN in 1989 Mosaic browser in 1993 W3C created in 1994 Exponential growth mid 90s Amazon, Ebay – 1995 Search engines – Google 1998 Dot-com boom 1997 – 2001 Web 2.0 – blogs, Facebook, Twitter, etc
14. What is the problem? The web is full of documents We aren’t always interested in documents We are interested in THINGS These THINGS might be in documents We can read a HTML document rendered in a browser and find what we are searching for This is hard for computers. Computers have to guess (even though they are pretty good at it)
15. The Web is a Data Shredder Structured Data Unstructured Data Thanks Martin Hepp
16. What would we like? Make it easy for computers/software to find THINGS Do you SEARCH or do you FIND?
17. Search for Football Players who went to the University of Texas at Austin, played for the Dallas Cowboys as Cornerback
25. On a Semantic Web Besides publishing documents on the web which computers can’t understand easily Let’s publish on the web something that computers can understand DATA
26. The Semantic Web is a web of linked data The current web is a web of linked documents
39. Resource Description Framework (RDF) A data model A way to model data i.e. Relational databases use relational data model RDF is a triple data model Labeled Graph Subject, Predicate, Object <Juan> <was born in> <California> <California> <is part of> <the USA> <Juan> <has hobby> <Salsa dancing>
40. RDF can be serialized in different ways RDF/XML RDFa (RDF in HTML) N3 Turtle JSON
41. So does that mean that I have to publish my data in RDF now?
45. Databases back up documents THINGS have PROPERTIES: A Book as a Title, an author, … This is a THING: A book title “Programming the Semantic Web” by Toby Segaran, …
46. Lets represent the data in RDF Programming the Semantic Web title author book Toby Segaran isbn 978-0-596-15381-6 publisher name Publisher O’Reilly
47. Remember that we are on the web Everything on the web is identified by a URI
48. And now let’s link the data to other data Programming the Semantic Web title author http://…/isbn978 Toby Segaran isbn 978-0-596-15381-6 publisher name http://…/publisher1 O’Reilly
49. And now consider the data from Revyu.com hasReview http://…/review1 http://…/isbn978 description reviewer Awesome Book http://…/reviewer name Juan Sequeda
50. Let’s start to link data hasReview http://…/review1 http://…/isbn978 Programming the Semantic Web title description sameAs hasReviewer Awesome Book author http://…/isbn978 Toby Segaran http://…/reviewer name isbn 978-0-596-15381-6 Juan Sequeda publisher name http://…/publisher1 O’Reilly
51. Juan Sequeda publishes data too http://juansequeda.com/id http://dbpedia.org/Austin livesIn name Juan Sequeda
52. Let’s link more data hasReview http://…/review1 http://…/isbn978 description hasReviewer Awesome Book http://…/reviewer name Juan Sequeda sameAs http://juansequeda.com/id http://dbpedia.org/Austin livesIn name Juan Sequeda
53. And more hasReview http://…/review1 http://…/isbn978 Programming the Semantic Web title description sameAs hasReviewer Awesome Book author http://…/isbn978 Toby Segaran http://…/reviewer name isbn 978-0-596-15381-6 Juan Sequeda publisher sameAs http://…/publisher1 name O’Reilly http://juansequeda.com/id http://dbpedia.org/Austin livesIn name Juan Sequeda
54. Data on the Web that is in RDF and is linked to other RDF data is LINKED DATA
55. Linked Data Principles Use URIs as names for things Use HTTP URIs so that people can look up (dereference) those names. When someone looks up a URI, provide useful information. Include links to other URIs so that they can discover more things.
66. 1) Share data as data2) Because you neighbor is doing it…3) (Semantic) SEO ++
67. Linked Data Publishers UK Government US Government BBC Open Calais – Thomson Reuters Freebase/Google NY Times Best Buy CNET Dbpedia Overstock.com O’Reilly Media …