Posts Tagged ‘developer’

Semantic Services May Benefit From Apigee Finetuning Its Edge API Platform

apigeeApigee is adding new capabilities to its Edge API digital business platform, including features that could be of use to applications that consume semantic services related to search or entity identification, for example.

Apigee Edge is designed to let companies and developers securely manage their APIs and to measure key metrics from API usage and traffic. Analytics always has been a core part of the platform, especially as it relates to providing real-time data to developers about how their APIs are being used, says Ed Anuff, VP products strategy at Apigee. With the introduction of API Traffic Analytics to the platform, it’s possible to measure metrics such as latency that can affect overall user experiences. “A lot of our customers asked for a better way to visualize that, to measure and view and set alerts to take steps to solve issues when latency is increasing.” says Anuff.

The challenge for developers working with semantic web technologies and processing services, he says, often comes down to making sure that you can deliver responsive results for the applications leveraging them.

“Oftentimes people find that the tradeoff of waiting a longer period of time for best results can be a challenge,” he says. “So the main thing that holds back the introduction of semantic enrichment to queries is making sure you deliver experiences where there is not variable latency.”

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Open The Door To Bringing Linked Data To Real-World Projects

ld1Linked Data: Structured Data on the Web is now available in a soft-cover edition. The book, authored by David Wood, Marsha Zaidman, Luke Ruth, and Michael Hausenblas, and with a forward by Tim Berners-Lee, aims to give mainstream developers without previous experience with Linked Data practical techniques for integrating it into real-world projects, focusing on languages with which they’re likely to be familiar, such as JavaScript and Python.

Berners-Lee’s forward gets the ball rolling in a big way, making the case for Linked Data and its critical importance in the web ecosystem:“The Web of hypertext-linked documents is complemented by the very powerful Linked Web of Data.  Why linked?  Well, think of how the value of a Web page is very much a function of what it links to, as well as the inherent value of the information within the Web page. So it is — in a way even more so — also in the Semantic Web of Linked Data.  The data itself is valuable, but the links to other data make it much more so.”

The topic has clearly struck a nerve, Wood believes, noting that today we are “at a point where structured data on the web is getting tremendous play,” from Google’s Knowledge Graph to the Facebook Open Graph protocol, to the growing use of the vocabulary, to data still growing exponentially in the Linked Open Data Project, and more. “The industry is ready to talk about data and data processing in a way it never has been before,” he continues. There’s growing realization that Linked Data fits in with and nicely complements technologies in the data science realm, such as machine learning algorithms and Hadoop, such that “you can suddenly build things you never could before with a tiny team, and that’s pretty cool….No technology is sufficient in and of itself but combine them and you can do really powerful things.”

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Next Steps For Semantic Services About Where To Eat And What You’re Eating

What’s on the menu for semantic technology this week? Two vendors in the foodie field are offering up some new treats.

From Nara, whose neural networking technology is behind a service to help users better personalize and curate their restaurant dining experiences (see how in our story here), comes a new feature that should make picking a restaurant for a group dinner an easier affair. It combines users’ “digital DNA” – the sum of what it learns of what each one likes and doesn’t like regarding dining venues – to serve up restaurant choices that should appeal to the entire group across its range of preferences.

“It’s a really fun way to start getting [the service] into social,” says Nara founder and CEO Tom Copeman.

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Singly “App Fabric” Platform Helps Developers Deeply Connect To Other Apps So Users Can Connect With All Their Data

Singly, which has as its mission connecting people more closely with their data everywhere it lives, now is opening up the beta of its development platform to help developers create the apps that can make that happen.

As co-founder and CEO Jason Cavnar describes Singly’s work, “it is an app fabric product” that gives developers a way to build applications without having to worry about making all the different connection points into the other applications they want their products to talk to. “That’s handled as a service for them. Like Amazon Web Services is for the infrastructure layer, we would like to be a trusted partner in the data layer,” he says.

“It’s really about a person’s life and experiences – sharing that wherever it is in other applications into a new one and that new one generating things to share back out,” says fellow co-founder and CTO Jeremie Miller, who invented Jabber/XMPP technologies and was the primary developer of jabberd 1.0, the first XMPP server. APIs are prominent in Singly’s approach to unlocking that data, but Miller sees some parallels between its own mission and that of the semantic web – a concept whose potential he’s always been excited about, he says, but which he doesn’t think has caught on as he’d hoped.

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Get Your Free Sentiment Analysis API Here


Social media intelligence and analytics provider ViralHeat is making its sentiment engine, which it claims as one of the biggest repositories of sentiment data on the market, available for free to developers as an API. The company has been building that engine in conjunction with its agency and big-brand customers (think the likes of Dell) the last few years, and is hoping that the move will open the door to new applications of sentiment analytics, as well as deliver benefits that will profit its paying clients.

“The key for brands and agencies is sentiment,” says CEO Raj Kadam, and ViralHeat got started down that road with a keyword dictionary approach to analyzing social media that proved disappointing. It led to a lot of neutral vs. positive or negative conclusions, and accuracy wasn’t a strong suit. That’s when it turned to its clients to take things up a few levels. “We scrapped that first approach and started building a really large-scale machine learning cluster focused on speed – we get hundreds of millions of mentions a week – and also on accuracy,” he says. Today, the technology runs mentions through its sentiment cluster and gets a sentiment score back, and from there humans play a role in further assessing the text and passing it back to continually train the engine.

Its speed, scalability, and training are what Kadam considers the features that differentiate its Python-built sentiment web service platform from other vendors in the space, and it’s that same Sentiment API that it’s opening up to others. Kadam says the fact that it can quickly do its work, tagging the sentiment score and its accuracy probability on the fly, is one reason why it can open up the API. “If that cluster was really slow it would take us days and probably a large swath wouldn’t get tagged,” he says. He says the latency on competitive systems is “incredible. It’s like batch processing. You send the data in and wait a really long time to get results. Ours is just completely real time.”

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Semantic Web Jobs: Overview

Overview, a new open-source visualization software project, is looking for two Developers in New York. The post states, “The project is called Overview. You can read about it at It’s going to be a system for the exploration of large to very large collections of unstructured text documents. We’re building it in New York in the main newsroom of The Associated Press, the original all-formats global news network. The AP has to deal with document dumps constantly. We download them from government sites. We file over 1000 freedom of information requests each year. We look at every single leak from Wikileaks, Anonymous, Lulzsec. We’re drowning in this stuff. We need better tools. So does everyone else.” Read more

Survey of Linked Data and RDF Tools for Python Developers

This resource from Michele Pasin is an excellent tool for Python developers. As Pasin puts it: “I’m reporting on a recent survey I made in the context of a Linked Data project I’m working on, SAILS. The Resource Description Framework (RDF) is a data model and language which is quickly gaining momentum in the open-data and data-integration worlds. In SAILS we’re developing a prototype for rdf-data manipulation and querying, but since the final application (of which the rdf-components is part of) will be written in Python and Django, in what follows I tried to gather information about all the existing libraries and frameworks for doing rdf-programming using python.” Read more

“Liking” New Analytics Features on Facebook

Facebook has made some updates to the analytics available to companies and individuals who utilize their “like” button. The Facebook developer blog reports, “Over the past year, social plugins have become an important and growing source of traffic for millions of websites. Today we’re releasing a new version of Insights for Websites to give you better analytics on how people interact with your content and to help you optimize your website in real-time.” Read more