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A Look Inside the Think Tank...

What I do for a living in my PhD

Created on Thursday, January 17, 2013 at 11:24:50 and categorized as Work by Thomas Steiner

What I do for a living in my PhD

Benvingut a Munic, Pep! Guardiola joins FC Bayern. Preview of an automatically generated social media gallery. That's the stuff I work on in my PhD.



Finally something to show to people :-).

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Shutting down the Open Knowledge Graph

Created on Thursday, September 06, 2012 at 10:38:48 and categorized as Technical by Thomas Steiner

Shutting down the Open Knowledge Graph

The Open Knowledge Graph, an attempt to open up the Google Knowledge Graph by means of crowdsourcing, is history. Since its initial announcement on August 11 to the current day, the graph has grown from 0 triples to exactly 2,850,510 RDF triples. This impressive figure has been reached solely through passionate users who participated in the Search for Embedded Knowledge Items effort (SEKI@home) by sharing their Google search activities. In the view of the authors, there is an over-delivery of facts through knowledge bases like DBpedia or Freebase. In contrast, the Open Knowledge Graph made accessible only a subset of the most interesting facts about entities, derived from the Google Knowledge Graph. This happened in a machine-readable way through the SPARQL protocol.

However, Google clarified for us that by design the data in the Knowledge Graph is available only via a consumer interface. Jack Menzel, Product Management Director at Google, contacted us with the following statement:

"We try to make data as accessible as possible to people around the world, which is why we put as much data as as we can in Freebase. However there are a few reasons we can't participate in your project.

First, the reason we can't put all the data we have into Freebase is that we've acquired it from other sources who have not granted us the rights to redistribute. Much of the local and books data, for example, was given to us with terms that we would not immediately syndicate or provide it to others for free.

Other pieces of data are used, but only with attribution. For example, some data, like images, we feel comfortable using only in the context of search (as it is a preview of content that people will be finding with that search) and some data like statistics from the World Bank should only be shown with proper attribution.

With regards to automatic access to extract the ranking of the content: we block this kind of access to Google because our ranking is the proprietary core of what Google provides whenever you use search—users should access Google via the interfaces we provide."


In consequence, we are shutting down the Open Knowledge Graph, which means that we will no longer provide access to the data via the SPARQL endpoint previously located at http://openknowledgegraph.org/sparql. We will keep online the SEKI@home Chrome extension for future use (so if you have it installed, please do not uninstall it quite yet), however, will remove the Google-scraping functionality from it. We will also keep the main Open Knowledge Graph homepage (http://openknowledgegraph.org/) online, as our paper titled SEKI@home, or Crowdsourcing an Open Knowledge Graph was accepted for publication at the 1st International Workshop on Knowledge Extraction and Consolidation from Social Media (KECSM2012), collocated with the 11th International Semantic Web Conference (ISWC2012).
The good news is that where there is shadow, there is light: the folks over at Freebase did let us know that the Freebase team have always been committed to supporting the Linked Open Data community and that they have plans in the works on making the Freebase dumps that they already provide available in RDF.

Thanks to all RDF triple scrobblers for contributing to the Open Knowledge Graph. It was fun while it lasted.

Best,
Tom and Stefan

Full disclosures:
(i) This post was reviewed, however, not edited for content, by D. Price, Product Counsel at Google, and J. Menzel, Product Management Director at Google.
(ii) T. Steiner is a Google employee. S. Mirea is a Google intern at time of writing. The Open Knowledge Graph was developed in their own time as an independent research project and with a Universitat Polit?cnica de Catalunya and a Jacobs University Bremen affiliation respectively.

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SEKI@home, or Crowdsourcing an Open Knowledge Graph

Created on Monday, August 13, 2012 at 10:56:12 and categorized as Technical by Thomas Steiner

SEKI@home, or Crowdsourcing an Open Knowledge Graph

In May 2012, the Web search engine Google has introduced the so-called Knowledge Graph, a graph that understands real-world entities and their relationships to one another. It currently contains more than 500 million objects, as well as more than 3.5 billion facts about and relationships between these different objects. Soon after its announcement, people started to ask for a Knowledge Graph Application Programming Interface (API), however, as of today, Google does not provide one. With SEKI@home, which stands for Search for Embedded Knowledge Items, we propose a browser extension-based approach to crowdsource such an API. As people with the extension installed search on Google.com, the extension sends extracted anonymous Knowledge Graph facts from Search Engine Results Pages (SERPs) to a centralized, publicly accessible triple store, and thus over time creates a SPARQL-queryable Open Knowledge Graph. The SPARQL endpoint for the Open Knowledge Graph is available at http://openknowledgegraph.org/sparql. This prototype browser extension is tailored to the Google Knowledge Graph, however, we note that the concept of SEKI@home is generalizable for other knowledge bases.

A paper describing the technical details of this extension has been submitted to the First International Workshop on Knowledge Extraction and Consolidation from Social Media (KECSM2012).

The extension was mainly developed by Stefan Mirea, steven.mirea (at) gmail [dot] com.

Disclaimer: the Open Knowledge Graph API and SPARQL endpoint are in NO way associated with Google. Make fair use of it.

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Knowledge Graph Socializer Chrome extension

Created on Tuesday, July 24, 2012 at 01:13:46 and categorized as Technical by Thomas Steiner

Knowledge Graph Socializer Chrome extension

In May 2012, the Web search engine Google has introduced the so-called Knowledge Graph, a graph that understands real-world entities and their relationships to one another. Entities covered by the Knowledge Graph include landmarks, celebrities, cities, sports teams, buildings, movies, celestial objects, works of art, and more. The graph enhances Google search in three main ways: by disambiguation of search queries, by search log-based summarization of key facts, and by explorative search suggestions.

Knowledge Graph Socializer Chrome extension

With the Knowledge Graph Socializer Chrome extension, we suggest a fourth way of enhancing Web search: through the addition of realtime coverage of what people say about real-world entities on social networks. This browser extension seamlessly adds relevant microposts from the social networking sites Google+, Facebook, and Twitter in form of a panel to Knowledge Graph entities. In a true Linked Data fashion, we interlink detected concepts in microposts with Freebase entities.

Please note: you need a freely available Google API key if you want to use the Knowledge Graph Socializer extension.

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AVM FRITZ!Box 7270 Wi-Fi Router

Created on Saturday, July 21, 2012 at 02:45:01 and categorized as Technical by Thomas Steiner

AVM FRITZ!Box 7270 Wi-Fi Router

I have finally treated ourselves to a decent Wi-Fi router with integrated DSL modem at home: a shiny new "Made in Germany" AVM FRITZ!Box 7270.



After hesitating for a long time and fiddling with (i) the crappy Wi-Fi router with integrated DSL modem that our ISP Alice (Hansenet) have provided us with, or (ii) a combination of an older Wi-Fi FON router together with a separate DSL modem, I have finally jumped the cliff and bought a FRITZ!Box despite the maybe a bit steep price tag of almost 200€. You can make a good bargain by buying used ones, or getting branded ones (mine has a 1&1 branding, but the inertia are exactly the same as the original FRITZ!Box). Make sure to get the latest version, which is v3 (not sure what exactly is the difference to earlier versions, but hey, we always want the latest and greatest).

Finally we can use our LAN (not Wi-Fi) printer on all machines, have the full 10–12MBit (typography nerds, I have used an en dash here!) connection even in the last corner of the apartment, the network-enabled stereo system plays music without stuttering, we have a fax, can connect DECT and cable landline phones, make SIP calls, have DynDNS updates, and, yeah, browse the Web anywhere! Bonus points for the detailed energy monitor and night-off mode (I'm pretty anal about saving energy). To some, these features might sound trivial, but we are exploring an entirely new world.

Our requirements are actually simple: connect Wi-Fi devices in the whole apartment including the balcony, which should be able to use a shared laser printer with an Ethernet LAN connection. With all previous connection options we could either reach full apartment Wi-Fi coverage but no printer connection (as the FON router has no LAN port), or printer connection but no full Wi-Fi coverage (as the crappy Alice router is too weak antenna-wise), or, as a last resort, use too many devices in combination (DSL modem, Alice Wi-Fi router for the printer and FON router for all other devices).

Short message: if you're looking for an energy-efficient, fast Wi-Fi router with integrated DSL modem and excellent Wi-Fi coverage, look no further! I should have bought this baby earlier.

AVM FRITZ!Box 7270 Wi-Fi Router

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