Serdar Yegulalp of InfoWorld recently wrote, “After spending decades in the shadows as a specialty discipline, machine learning is suddenly front and center as a business tool. The hard part, though, is making it useful, especially to the developers and budding data scientists who are being tasked with the job. To that end, we rounded up some of the most common and useful open source machine learning tools we’ve spotted in the wild.” Read more
Posts Tagged ‘how to’
The Learning Resource Metadata Initiative (LRMI) has released a technical briefing about schema.org. The paper was co-authored by Phil Barker and Lorna M. Campbell of Cetis, the Centre for Educational Technology, Interoperability and Standards.
LRMI, which we have reported on here, “has developed a common metadata framework for describing or ‘tagging’ learning resources on the web.”
The Cetis website says, “This briefing describes schema.org for a technical audience. It is aimed at people who may want to implement schema.org markup in websites or other tools they build but who wish to know more about the technical approach behind schema.org and how to implement it. We also hope that this briefing will be useful to those who are evaluating whether to implement schema.org to meet the requirements of their own organization.”
In making the announcement in a W3C list, Barker explained, “We often find that when explaining the technology approach of LRMI we are mostly talking about schema.org, so this briefing, which describes the schema.org specification for a technical audience should be of interest to anyone thinking about implementing or using LRMI in a website or other tool. It should also be of interest to people who plan to use schema.org for describing other types of resources.”
The technical brief can be downloaded from:
|Date:||Thursday, October 6, 2011
|Time:||2:00pm ET / 11:00am PT|
In August, we had the pleasure of hosting the excellent instructor, Bob DuCharme, as he walked us through an introduction to SPARQL: “SPARQL Queries, SPARQL Technology.” Next week, Bob will join us again, this time to introduce us to SKOS, the Simple Knowledge Organization System standard.
You manage a taxonomy, thesaurus, or some other kind of controlled vocabulary using a proprietary tool or perhaps even by emailing around spreadsheets to each other. Read more
If you missed last week’s excellent introduction to SPARQL by Bob DuCharme of TopQuadrant and the recently released Learning SPARQL, the recorded webcast is now available. In this presentation, Bob shows how to create and run SPARQL queries. He also talks about the role that the query language can play in application development. Lastly, he looks at the range of uses people are finding for SPARQL above and beyond querying of RDF data, such as querying relational data, defining rules to enhance data quality, and more…
Watch the webcast here:
There were some questions we did not get to during the hour, and Bob has been kind enough to answer these offline.
BONUS Q&A with Bob DuCharme:
Q: Can sparql engines integrate reasoners and reason over the data on the fly? Read more
Bob DuCharme, the presenter of next week’s webcast SPARQL Queries, SPARQL Technology recently wrote a brief article showing how simple RDFa can be. DuCharme begins, “I got so tired of hearing people complain about how confusing RDFa is that while I was on hold during a recent phone call I threw together a demo of just how simple it can be. The document has the two basic kinds of triples: one with a literal for an object, with data typing thrown in for good measure, and one with a resource URI as its object.” Read more
A quirky new article likens search engines to humongous babies. The article states, “You can’t expect it to understand complicated things. You would never try to teach language to a human baby by reading it Nietzsche, and you shouldn’t expect a baby google to learn bibliographic data by feeding it MARC (or RDA or METS or MODS, or even ONIX). When a baby says ‘goo-goo’ to you, you don’t criticize its misuse of the subjunctive. You say ‘goo-goo’ back. When Google tells you that that it wants to hear ‘schema.org’ microdata, you don’t try to tell it about the first indicator of the 856 ‡u subfield. You give it schema.org microdata, no matter how babyish that seems.” Read more
If it’s been a while since you have looked in on the conference program for SemTech SF, you may have missed the addition of some significant, exciting sessions. Recent additions to this year’s conference include:
Aditya Kalyanpur, research staff member for IBM Research will lead a session entitled “Building Watson: An Overview of the DeepQA Project for the Jeopardy! Challenge,” a discussion of the the DeepQA technology and describe what it was like to build a Watson, the computer system that won on Jeopardy!.
“The rise of the Interest Graph: How Semantic Technology Will Lead What’s Next for the Social Web.” Dave S Copps, CEO of PureDiscovery Corporation, will discuss the reasons why transactional searches will be replaced by social filtering. The real power and potential of semantic technologies will be unleashed as semantic vendors integrate the richness of the data being generated by the social graph (Twitter, Facebook, etc.) to create networks that share more than just a relationship.
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