Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

David F. Carr

Social Standards: Web 2.0 Vs. Enterprise 2.0

The OpenSocial approach to defining social software standards has the backing of Jive, IBM, and others--and the scorn of upstarts like Yammer.

For enterprise social software vendors including IBM and Jive Software, OpenSocial is a key standard for adding social context to applications. But there is another school of thought.

"OpenSocial is what Google created for MySpace," Yammer CTO and co-founder Adam Pisoni told me dismissively during an interview about Yammer news feed integration with other cloud services. That's a reference to the origins of the standard, initially published in 2007, back when MySpace was still bigger than Facebook. Since then, of course, MySpace has faded and Google has struggled through multiple social media flops until catching fire, just recently with Google+. OpenSocial provided the basis for the Google Gadgets user interface components used in iGoogle and played a role in Orkut (the "big in Brazil" social network).

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

By making the association with MySpace, Pisoni was classifying OpenSocial as a technology whose time has passed. Why would you want to associate yourself with that, rather than model your social software after Facebook? Yammer has defined enterprise extensions to the Open Graph Protocol as the core of its integration strategy. The Open Graph Protocol is an open metadata standard that Facebook application partners can implement to define how articles and other content shared by members are represented in the Facebook news stream. Enterprise vendors can take advantage of it in the same way, extending it as necessary to reference invoices and requisitions rather than (or in addition to) articles and videos.

Although the protocol is open, Facebook confuses the issue by also using the term Open Graph to refer to proprietary innovations, as in the current Open Graph beta test of technologies for linking activity from applications and websites to a user's Facebook Timeline profile and activity stream. Other social websites and applications may be able to imitate Facebook as a de facto standards setter, but other elements of the Facebook platform aren't open standards in the same sense as the Open Graph Protocol.

At any rate, OpenSocial and the Open Graph Protocol aren't really direct competitors because they don't do the same things. OpenSocial defines a standard way for an application to be embedded in a social "container," where the container could be a social media website or an enterprise collaboration system such as the one from Jive, with mechanisms for the embedded application to request access to information and services from the container. This is how an embedded application would gain access to your friends list, for example. The Open Graph Protocol doesn't address that sort of scenario, although the broader Facebook platform does. There is no reason why OpenSocial and the Open Graph Protocol can't be used together, as complementary rather than competitive standards.

Still, the technologies may not be in competition, but they seem to represent two broader world views, or philosophies, or political camps, that are indeed clashing.

Pisoni said OpenSocial's whole approach to embedding applications in a social container is outdated. Yammer's view is that the best Web 2.0 applications provide rich user experiences that don't fit neatly in an HTML iFrame. Better to provide integration that reaches out from Yammer to connect with those other websites and applications and embeds inside them, while allowing them to pump updates into the Yammer news feed. Yammer is very oriented around the stream of updates as the most important element of a social system, he said.

Facebook itself is moving away from embedded apps, toward an integration that allows elements of the Facebook experience to be integrated with external websites and applications, Pisoni argued. That strikes me as an exaggeration, given that the iFrame integration method Facebook introduced earlier this year makes it possible to embed virtually any Web content or application within the frame of a Facebook app or page tab. But it's certainly also true that Facebook is colonizing the Web with the like button, social sign on, and other integrated applications. Part of the significance of iFrame integration was it allowed Facebook to use a lot of the same JavaScript and OAuth methods for either embedded apps or external apps.

 1 | 2  | Next Page »


Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.