Juan Carlos Perez of InfoWorld reports, “Microsoft will add new software, developer tools and capabilities to Office 365 in an attempt to make the cloud applications suite a ‘smarter’ product that is better at helping people interact at work. At its SharePoint Conference, which kicks off in Las Vegas on Monday, Microsoft will demonstrate a new machine learning application code-named Oslo designed to understand how employees work in Office 365 and with whom. Oslo will base its insights on a variety of signals gleaned from how people use Office 365′s components, like Exchange Online for email, OneDrive for Business for storage, Lync Online for IM and video conferencing, SharePoint Online for team collaboration and Yammer for enterprise social networking. Microsoft calls this information the Office Graph.” Read more
Social Media Semantics
Rob LeFebvre of Cult of Mac reports, “55 percent of Hinge users are looking to find a relationship, according to internal user surveys by the app developer. 35 percent want to find good dates. Only 5 percent admit to just wanting a hookup. That’s a huge contrast from other apps like OK Cupid or Tinder, said Hinge developer Justin McLeod, who spoke to Cult of Mac over Skype. His goal, he said, was to create a much better dating app, one that was just as easy to join as Tinder, but with more quality results. It seems to be working, as the app is growing by 10 percent every week.” Read more
How can the semantic web help you participate in and celebrate Halloween this year? We trolled around and came up with a few ideas:
* Still haven’t found just the right costume yet for tonight’s festivities (for you, that is – we’re sure the kids have had theirs planned for some time). Perhaps you’re thinking hard about a do-it-yourself skeleton theme, but aren’t sure of the details for creating the most realistic effect? Well, if you head over to semantic search engine DuckDuckGo’s science goodies section, you’ll get a quick response on the number of bones in the human body, courtesy of Wolfram/Alpha computations. You can take it from there.
* OK, costume’s in check. Now how about what to do while wearing it?
Semantic search engine SenseBot might be a help here, pointing you to information it’s extracted from web pages and summarizing them in a, well, sensible way, as well as offering a cloud of the concepts it’s discovered for you to further narrow your agenda. The results can be a little off here and there, but it’s nice to have an option to further narrow a search, like one for adult activities to partake in on Halloween, to something more granular, like those designed for the “scare” factor.
On September 30th, Facebook reported, “Starting today, Graph Search will include posts and status updates. Now you will be able to search for status updates, photo captions, check-ins and comments to find things shared with you. Search for the topics you’re interested in and see what your friends are saying, like ‘Dancing with the Stars’ or ‘Posts about Dancing with the Stars by my friends.’ … As with other things in Graph Search, you can only see content that has been shared with you, including posts shared publicly by people you are not friends with. Use privacy shortcuts and Activity Log to review who can see the things you share.” Read more
Sarah Perez of TechCrunch reports, “Fresh on the heels of its deal with Tumblr for access to the Tumblr ‘firehose,’ social data platform DataSift is putting that data, and more, to good use with the launch of a new API that performs historical analysis across Twitter, Tumblr, and Bit.ly ‘firehoses,’ as well as data pulled from forums, blogs and public Facebook data. With ‘Historic Preview,’ as DataSift is calling it, developers have the ability to perform historical analysis across all sources combined, using four different analysis types. These include: frequency distribution, numeric statistical analysis, target volume, and word count (a list of up to 100 of the most often used words). The analysis functions can be applied to all 400+ metadata fields, the company says.” Read more
09-24-2013 06:12 PM CET — The EU’s “digital.me” project brings Fraunhofer IAO together with seven research and industry partners to develop a system for user-controlled social networks and services that can serve as a central hub for managing a user’s various digital identities. The project has now released the source code from its software development work as an open-source project.
The use of personal information for private and business life is a trend in our increasingly information-driven society. With the rise of social media, individuals are revealing more personal data online than ever before. This data disclosure provides value to users, such as enhancing social contacts or obtaining personalized services and products. However, the existing social internet makes it difficult for using personal information in a controlled way while retaining privacy where required. Read more
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