An anonymous reader sends this news from Al-Jazeera:
"BP has been accused of hiring internet 'trolls' to purposefully attack, harass, and sometimes threaten people who have been critical of how the oil giant has handled its disaster in the Gulf of Mexico. The oil firm hired the international PR company Ogilvy & Mather to run the BP America Facebook page during the oil disaster, which released at least 4.9 million barrels of oil into the Gulf in what is to date the single largest environmental disaster in U.S. history. The page was meant to encourage interaction with BP, but when people posted comments that were critical of how BP was handling the crisis, they were often attacked, bullied, and sometimes directly threatened. ... BP's 'astroturfing' efforts and use of 'trolls' have been reported as pursuing users' personal information, then tracking and posting IP addresses of users, contacting their employers, threatening to contact family members, and using photos of critics' family members to create false Facebook profiles, and even threatening to affect the potential outcome of individual compensation claims against BP."
I met Aaron Swartz in Cambridge shortly after he’d been indicted for downloading lots of JSTOR articles on MIT’s network in 2011. My Wired colleague Ryan Singel had been writing about his story, and I’d talked a lot with my friends in academia and publishing about the problems of putting scholarship behind a paywall, but that was really the level at which I was approaching it. I was there to have brunch with friends I’d known a long time only through the internet, and I hadn’t known Aaron that way. I certainly didn’t want to use the brunch to put on my journalist hat and pepper him with questions. He was there primarily to see his partner Quinn Norton’s daughter Ada, with whom he had a special bond. The two of them spent...
When Joel Spolsky, my business partner on Stack Overflow and Stack Exchange, asked me what I wanted to do after I left Stack Exchange, I distinctly remember mentioning Aaron Swartz. That's what Aaron was to us hackers: an exemplar of the noble, selfless behavior and positive action that all hackers aspire to – but very few actually achieve.
And now, tragically, Aaron is gone at the tender age of 26. He won't be achieving anything any more.
I never knew Aaron, but I knew Aaron.
Most of all, I am disappointed.
I'm deeply disappointed in myself, for not understanding just how bitterly unfair the government charges were against Aaron. Perhaps the full, grotesque details couldn't be revealed for a pending legal case. But we should have been outraged. I am gutted that I did not contribute to his defense in any way, either financially or by writing about it here. I blindly assumed he would prevail, as powerful activists on the side of fairness, openness, and freedom are fortunate enough to often do in our country. I was wrong.
I'm disappointed in our government, for going to such lengths to make an example of someone who was so obviously a positive force. Someone who actively worked to change the world for the better in everything he did, starting from the age of 12. There was no evil in this man. And yet the absurd government case against him was cited by his family as directly contributing to his death.
I'm frustrated by the idea that martyrdom works. The death of Aaron Swartz is now turning into an effective tool for change, a rallying cry, proving the perverse lesson that nobody takes an issue seriously until a great person dies for the cause. The idea that Aaron killing himself was a viable strategy, more than going on to prevail in this matter and so many more in his lifetime, makes me incredibly angry.
But also, I must admit that I am a little disappointed in Aaron. I understand that depression is a serious disease that can fell any person, however strong. But he chose the path of the activist long ago. And the path of the activist is to fight, for as long and as hard as it takes, to effect change. Aaron had powerful friends, a powerful support network, and a keen sense of moral cause that put him in the right. That's how he got that support network of powerful friends and fellow activists in the first place.
It is appropriate to write about Aaron on Martin Luther King day, because he too was a tireless activist for moral causes.
I hope you are able to see the distinction I am trying to point out. In no sense do I advocate evading or defying the law, as would the rabid segregationist. That would lead to anarchy. One who breaks an unjust law must do so openly, lovingly, and with a willingness to accept the penalty. I submit that an individual who breaks a law that conscience tells him is unjust, and who willingly accepts the penalty of imprisonment in order to arouse the conscience of the community over its injustice, is in reality expressing the highest respect for law.
Let's be clear that the penalty in Aaron's case was grossly unfair, bordering on corrupt. I've been a part of exactly one trial, but I can't even imagine having the full resources of the US Government brought to bear against me, with extreme prejudice, for a year or more. His defense was estimated to cost millions. The idea that such an engaged citizen would be forever branded a felon – serving at least some jail time and stripped of the most fundamental citizenship right, the ability to vote – must have weighed heavily on Aaron. And Aaron was no stranger to depresson, having written about it on his blog many times, even penning a public will of sorts on his blog all the way back in 2002.
I think about ragequitting a lot.
Rage Quit, also seen as RageQuit in one word, is Internet slang commonly used to describe the act of suddenly quitting a game or chatroom after either an argument, extreme frustration, or loss of the game.
At least one user ragequits Stack Exchange every six months, because our rules are strict. Some people don't like rules, and can respond poorly when confronted by the rules of the game they choose to play. It came up often enough that we had to create even more rules to deal with it. I was forced to think about ragequitting.
I was very angry with Mark Pilgrim and _why for ragequitting the Internet, because they also took all their content offline – they got so frustrated that they took their ball and went home, so nobody else could play. How incredibly rude. Ragequitting is childish, a sign of immaturity. But it is another thing entirely to play the final move and take your own life. To declare the end of this game and all future games, the end of ragequitting itself.
I say this not as a person who wishes to judge Aaron Swartz. I say it as a fellow gamer who has also considered playing the same move quite recently. To the point that I – like Aaron himself, I am sure – was actively researching it. But the more I researched, the more I thought about it, the more it felt like what it really was: giving up. And the toll on friends and family would be unimaginably, unbearably heavy.
What happened to Aaron was not fair. Not even a little. But this is the path of the activist. The greater the injustice, the greater wrong undone when you ultimately prevail. And I am convinced, absolutely and utterly convinced, that Aaron would have prevailed. He would have gone on to do so many other great things. It is our great failing that we did not provide Aaron the support network he needed to see this. All we can do now is continue the mission he started and lobby for change to our corrupt government practices of forcing plea bargains.
It gets dark sometimes. I know it does. I'm right there with you. But do not, under any circumstances, give anyone the satisfaction of seeing you ragequit. They don't deserve it. Play other, better moves – and consider your long game.
The future is flexible, and we’re bending with it. From responsive web design to futurefriend.ly thinking, we’re moving quickly toward a web that’s more fluid, less fixed, and more easily accessed on a multitude of devices. As we embrace this shift, we need to relinquish control of our content as well, setting it free from the boundaries of a traditional web page to flow as needed through varied displays and contexts. Most conversations about structured content dive headfirst into the technical bits: XML, DITA, microdata, RDF. But structure isn’t just about metadata and markup; it’s what that metadata and markup mean. Sara Wachter-Boettcher shares a framework for making smart decisions about our content's structure.
The Web of Data is built upon two simple ideas: First, to employ the RDF
data model to publish structured data on the Web. Second, to set explicit RDF links
between data items within different data sources. Background information about the Web of Data is found at the wiki pages of the W3C Linking Open Data community effort,
in the overview article Linked Data - The Story So Far
and in the tutorial on How to publish Linked Data on the Web.
The Silk Link Discovery Framework supports data publishers in accomplishing the
second task. Using the declarative Silk - Link Specification Language (Silk-LSL), developers can specify which types of RDF links should be discovered between data sources as well as which conditions data items must
fulfill in order to be interlinked. These link conditions may combine various similarity
metrics and can take the graph around a data item into account, which is addressed
using an RDF path language. Silk accesses the data sources that should be interlinked via the SPARQL protocol and can thus be used against local as well as remote SPARQL endpoints.
Silk is provided in three different variants which address different use cases:
- Silk Single Machine is used to generate RDF links on a single machine. The datasets that should be interlinked can either reside on the same machine or on remote machines which are accessed via the SPARQL protocol. Silk Single Machine provides multithreading and caching. In addition, the performance is further enhanced using the MultiBlock blocking algorithm.
- Silk MapReduce is used to generate RDF links between data sets using a cluster of multiple machines. Silk MapReduce is based on Hadoop and can for instance be run on Amazon Elastic MapReduce. Silk MapReduce enables Silk to scale out to very big datasets by distributing the link generation to multiple machines.
- Silk Server can be used as an identity resolution component within applications that consume Linked Data from the Web. Silk Server provides an HTTP API for matching entities from an incoming stream of RDF data while keeping track of known entities. It can be used for instance together with a Linked Data crawler to populate a local duplicate-free cache with data from the Web.
All variants are based on the Silk Link Discovery Engine which offers the following features:
- Flexible, declarative language for specifying linkage rules
- Support of RDF link generation (owl:sameAs links as well as other types)
- Employment in distributed environments (by accessing local and remote SPARQL endpoints)
- Usable in situations where terms from different vocabularies are mixed and where no consistent RDFS or OWL schemata exist
- Scalability and high performance through efficient data handling (speedup factor of 20 compared to Silk 0.2):
- Reduction of network load by caching and reusing of SPARQL result sets
- Multi-threaded computation of the data item comparisons (3 million comparisons per minute on a Core2 Duo)
- Optional blocking of data items
The Open Data Movement aims at making data freely available to everyone.
There are already various interesting open data sets available on the Web. Examples include Wikipedia, Wikibooks, Geonames, MusicBrainz, WordNet,
the DBLP bibliography and many more which are published under Creative Commons or Talis licenses.
The goal of the W3C SWEO Linking Open Data community project is to extend the Web with a data commons by publishing various open data sets as RDF on the Web and by setting RDF links between data items from different data sources.
RDF links enable you to navigate from a data item within one data source to related data items within other sources using a Semantic Web browser. RDF links can also be followed by the crawlers of Semantic Web search engines, which may provide sophisticated search and query capabilities over crawled data. As query results are structured data and not just links to HTML pages, they can be used within other applications.
The figures below show the data sets that have been published and interlinked by the project so far. Collectively, the 295 data sets consist of over 31 billion RDF triples, which are interlinked by around 504 million RDF links (September 2011).
This document provides statistics about the structure and content of the LOD cloud. It also analyzes the extend to which LOD data sources implement nine best practices that are either recommended W3C or have emerged within the LOD community.
All statistics within this document are based on the LOD data set catalog that is maintained on CKAN. This document contains a preliminary release of the statistics. If you spot any errors in the data describing the LOD data sets, it would be great if you would correct them directly on CKAN. For information on how to describe datasets on CKAN please refer to the Guidelines for Collecting Metadata on Linked Datasets in CKAN.
Redland is a set of free software C libraries that
provide support for the Resource Description Framework (RDF).
- Modular, object based libraries and APIs for manipulating the RDF graph, triples, URIs and Literals.
- Storage for graphs in memory and persistently with Oracle Berkeley DB, MySQL 3-5, PostgreSQL, OpenLink Virtoso, SQLite, files or URIs.
- Support for multiple syntaxes for reading and writing RDF as RDF/XML, N-Triples and Turtle, RSS and Atom syntaxes via the Raptor RDF Syntax Library.
- Querying with SPARQL and RDQL using the Rasqal RDF Query Library.
- Data aggregation and recording provenance support with Redland contexts.
- Language Bindings in Perl, PHP, Python and Ruby via the Redland Bindings package.
- Command line utility programs rdfproc (RDF), rapper (parsing) and roqet (query).
- Portable, fast and with no known memory leaks.
The Redland library packages are:
- Raptor RDF Syntax Library -
libraptor2for parsing and serializing RDF syntaxes
2.0.4 release raptor2-2.0.4.tar.gz (2011-07-25)
- Rasqal RDF Query Library -
librasqalfor executing RDF queries
0.9.27 release rasqal-0.9.27.tar.gz (2011-08-23)
- Redland RDF Library -
librdfproviding the RDF API and triple stores. Requires: Raptor and Rasqal
1.0.14 release redland-1.0.14.tar.gz (2011-07-23)
- Redland Language Bindings for language APIs to Redland in Perl, PHP, Python and Ruby. Requires: Redland.
220.127.116.11 release redland-bindings-18.104.22.168.tar.gz (2011-02-08)
These are mature RDF packages developed since 2000
used in several projects.
Each library has its own news, detailed release notes,
and reference documentation with examples.
- Follow along at http://www.cambridgesemantics.com/2008/09/sparql-by-example/.
- Companion "cheat sheet" at http://www.slideshare.net/LeeFeigenbaum/sparql-cheat-sheet.
- Last modified: 2011-01-25
- This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License, with attribution to