The Evolution of SharePoint Online Collaboration
April 14, 2015
SharePoint Online is quickly playing catch up to the on-premises version, but the fact that they weren’t identical from the start is still perplexing. Tech Target explores the topic further in their article, “Following the SharePoint Online Collaboration Evolution.”
The article sums up the current situation:
“To an outsider, it would appear that SharePoint would have been the perfect one-to-one on-premises and cloud server option, considering it’s a Web-based option. However, it’s more complex than a move in data center location that’s local to Microsoft. And in terms of development, much of the effort has gone into the option that will drive the migration to Office 365 and the revenue from such a move, which is Exchange Online.”
Hybrid enablement is one area that SharePoint 2016 watchers are keeping a close eye on, as part of an overall focus on bringing more Office 365 experiences to on-premises customers. On the other side of the coin, certain online features are being strengthened by their reliance on SharePoint on-site under the hood. Look for Delva, Office 365, and OneDrive for Business among others. Overall, the future of SharePoint is exciting but still coming into focus. Keep an eye on ArnoldIT.com, a Web service run by a longtime search expert Stephen E. Arnold. His SharePoint feed will make additional SharePoint news accessible as it becomes available.
Emily Rae Aldridge, April 14, 2015
Stephen E Arnold, Publisher of CyberOSINT at www.xenky.com
Contextual Search Recommended for Sales Pros
April 14, 2015
Sales-productivity pro Doug Winter penned “Traditional Search is Dying as Sales Organizations Make Way for “Context” for Entrepreneur. He explains how companies like Google, Apple, and Yahoo have long been developing “contextual” search, which simply means using data it has gathered about the user to deliver more relevant answers to queries, instead of relying on keywords alone. Consumers have been benefiting from this approach online for years now, and Winter says it’s time for salespeople to apply contextual search to their internal content. He writes:
“The key to how contextual search delivers on its magic is the fact that the most advanced ECM systems are, like Google’s search algorithms, much more knowledgeable about the person searching than we care to admit. What you as a sales rep see is tailored to you because when you sign in, the system knows what types of products you sell and in what geographic areas.”
“Tie in customer data from your customer relationship management (CRM) system and now the ECM knows what buying stage and industry your prospect is in. Leveraging that data, you as a rep shouldn’t then see a universe of content you have to manually sort through. Instead, according to Ring DNA, you should see just a handful of useful pieces you otherwise would have spent 30 hours a month searching for on your own.”
As long as the chosen algorithm succeeds in catching what a salesperson needs in its net, this shift could be a terrific time saver. Sales departments should do their research, however, before investing in any contextual-search tools.
Cynthia Murrell, April 14, 2015
Stephen E Arnold, Publisher of CyberOSINT at www.xenky.com
Apple and App Search: Maybe a New Approach Will Work
April 13, 2015
I remember looking for a teleprompter app via my iPad. I used the Apple store and punched in the query “teleprompter.” I got some hits, but the information returned forced me to download apps, test them, and then do some poking around on message boards.
The finding part of the Apple app search worked okay. It did nothing to reassure me that I was not overlooking an app presented with different terms used to describe what I needed: A way to display a script on an iPad. The most important feature I needed was simply not findable via the Apple search system. Run this query: “Support for Wi Drive.” Let me know how that works out for you.
I read “Report: Apple Acquired Startup Ottocat for Its App Store Search Technology.” The important point is that Apple is now taking a look at its existing technology and reaching what I perceive as a pragmatic decision: Buy something that maybe sort of works.
According the write up:
Ottocat’s technology allows the app shopper to use increasingly specific search terms to zero in on the right app. The technology also adds some metadata around the app listing — things like star ratings and percentile rankings. Ottocat also created tools for app developers to get their apps in front of just the right kind of user.
Will it work? Who knows but I hope so. The iPad’s been around with its many apps for five years. Speed is relative but not precision and recall.
Stephen E Arnold, April 13, 2015
Medical Search: A Long Road to Travel
April 13, 2015
Do you want a way to search medical information without false drops, the need to learn specialized vocabularies, and sidestep Boolean? Apparently the purveyors of medical search systems have left a user scratch without an antihistamine within reach.
Navigate to Slideshare (yep, LinkedIn) and flip through “Current Advances to Bridge the Usability Expressivity Gap in biomedical Semantic Search.” Before reading the 51 slide deck, you may want to refresh yourself with Quertle, PubMed, MedNar, or one of the other splendiferous medical information resources for researchers.
The slide deck identifies the problems with the existing search approaches. I can relate to these points. For example, those who tout question answering systems ignore the difficulty of passing a question from medicine to a domain consisting of math content. With math the plumbing in many advanced medical processes, the weakness is a bit of a problem and has been for decades.
The “fix” is semantic search. Well, that’s the theory. I interpreted the slide deck as communicating how a medical search system called ReVeaLD would crack this somewhat difficult nut. As an aside: I don’t like the wonky spelling that some researchers and marketers are foisting on the unsuspecting.
I admit that I am skeptical about many NGIA or next generation information access systems. One reason medical research works as well as it does is its body of generally standardized controlled term words. Learn MeSH and you have a fighting chance of figuring out if the drug the doctor prescribed is going to kill off your liver as it remediates your indigestion. Controlled vocabularies in scientific, technology, engineering, and medical domains address the annoying ambiguity problems encounter when one mixes colloquial words with quasi consultant speak. A technical buzzword is part of a technical education. It works, maybe not too well, but it works better than some of the wild and crazy systems which I have explored over the years.
You will have to dig through old jargon and new jargon such as entity reconciliation. In the law enforcement and intelligence fields, an entity from one language has to be “reconciled” with versions of the “entity” in other languages and from other domains. The technology is easier to market than make work. The ReVeaLD system is making progress as I understand the information in the slide deck.
Like other advanced information access systems, ReVeaLD has a fair number of moving parts. Here’s the diagram from Slide 27 in the deck:
There is also a video available at this link. The video explains that Granatum Project uses a constrained domain specific language. So much for cross domain queries, gentle reader. What is interesting to me is the similarity between the ReVeaLD system and some of the cyber OSINT next generation information access systems profiled in my new monograph. There is a visual query builder, a browser for structured data, visualization, and a number of other bells and whistles.
Several observations:
- Finding relevant technical information requires effort. NGIA systems also require the user to exert effort. Finding the specific information required to solve a time critical problem remains a hurdle for broader deployment of some systems and methods.
- The computational load for sophisticated content processing is significant. The ReVeaLD system is likely to such up its share of machine resources.
- Maintaining a system with many moving parts when deployed outside of a research demonstration presents another series of technical challenges.
I am encouraged, but I want to make certain that my one or two readers understand this point: Demos and marketing are much easier to roll out than a hardened, commercial system. Just as the EC’s Promise program, ReVeaLD may have to communicate its achievements to the outside world. A long road must be followed before this particular NGIA system becomes available in Harrod’s Creek, Kentucky.
Stephen E Arnold, April 13, 2015
Spelling Suggestions via the Bisect Module
April 13, 2015
I know that those who want to implement their own search and retrieval systems learn that some features are tricky to implement. I read “Typos in Search Queries at Khan Academy.”
The author states:
The idea is simple. Store a hash of each word in a sorted array and then do binary search on that array. The hashes are small and can be tightly packed in less than 2 MB. Binary search is fast and allows the spell checking algorithm to service any query.
What is not included in the write up is detail about the time required and the frustration experienced to implement what some senior managers assume is trivial. Yep, search is not too tough when the alleged “expert” has never implemented a system.
With education struggling to teach the three Rs, the need for software that caulks the leaks in users’ ability to spell is a must have.
Stephen E Arnold, April 13, 2015
Set Data Free from PDF Tables
April 13, 2015
The PDF file is a wonderful thing. It takes up less space than alternatives, and everyone with a computer should be able to open one. However, it is not so easy to pull data from a table within a PDF document. Now, Computerworld informs us about a “Free Tool to Extract Data from PDFs: Tabula.” Created by journalists with assistance from organizations like Knight-Mozilla OpenNews, the New York Times and La Nación DATA, Tabula plucks data from tables within these files. Reporter Sharon Machlis writes:
“To use, download the software from the project website . It runs locally in your browser and requires a Java Runtime Environment compatible with Java 6 or 7. Import a PDF and then select the area of a table you want to turn into usable data. You’ll have the option of downloading as a comma- or tab-separated file as well as copying it to your clipboard.
“You’ll also be able to look at the data it captures before you save it, which I’d highly recommend. It can be easy to miss a column and especially a row when making a selection.”
See the write-up for a video of Tabula at work on a Windows system. A couple caveats: the tool will not work with scanned images. Also, the creators caution that, as of yet, Tabula works best with simple table formats. Any developers who wish to get in on the project should navigate to its GitHub page here.
Cynthia Murrell, April 13, 2015
Stephen E Arnold, Publisher of CyberOSINT at www.xenky.com
Bing Predicts it Will Have Decent Results
April 13, 2015
Bing is considered a search engine joke, but it might be working its way as a viable search solution…maybe. MakeUseOf notes, “How Bing Predicts Has Become So Good” due to Microsoft actually listening to its users and improving the search results with the idea that “Bing is for doing.” One way Microsoft is putting its search engine to work is with Bing Predicts, a tool that predicts who win competitions, weather, and other information analyzed from popular searches, social media, regional trends, and more.
It takes a bit more for Predicts to divine sporting event outcomes, for those Bing relies on historic team data, key player data, opinions from top news sources, and pre-game report predictions.
“Microsoft researcher, and serial predictor David Rothschild believes the prediction engine is ‘an interesting way to show users that Bing has a lot of horsepower beyond just providing good search results.’ Data is everything. Even regular Internet users understand the translation of data to power, so Microsoft’s bold step forward with their predictions underscores the confidence in their own algorithms, and their ability to handle the data coming into Redmond.”
Other than predicting games and the next American Idol winner, Bing Predicts has application for social fields and industry. Companies are already implementing some forms of future analysis and for social causes it can be used to predict the best ways to conserve resources, medicinal supplies, food, and even conservatism.
Whitney Grace, April 13, 2015
Stephen E Arnold, Publisher of CyberOSINT at www.xenky.com
The Challenge of Synonyms
April 12, 2015
I am okay with automated text processing systems. The challenge is for software to keep pace with the words and phrases that questionable or bad actors use to communication. The marketing baloney cranked out by vendors suggests that synonyms are not a problem. I don’t agree. I think that words used to reference a subject can fool smart software and some humans as well. For an example of the challenge, navigate to “The Euphemisms People Use to Pay Their Drug Dealer in Public on Venmo.” The write up presents some of the synonyms for controlled substances; for example:
- Kale salad thanks
- Columbia in the 1980s
- Road trip groceries
- Sanity 2.0
- 10 lbs of sugar
The synonym I found interesting was an emoji, which most search and content processing systems cannot “understand.”
and
Attensity asserts that it can “understand” emojis. Sure, if there is a look up list hard wired to a meaning. What happens if the actor changes the emoji? Like other text processing systems, the smart software may become less adept than the marketers state.
But why rain on the hype parade and remind you that search is difficult? Moving on.
Stephen E Arnold, April 12, 2015
Search and Identify a YouTube or Vimeo Tune
April 12, 2015
Need to identify a song used in a YouTube video? “Name That tune on Any YouTube Video with MooMa.sh” explains that now you can perform this search and retrieval task. Navigate to http://www.mooma.sh/. Paste a YouTube, Vimeo, or Dailymotion link into the search box and Moo1. That’s the service’s name for search, not mine. There is a video explaining how the service works and a Freshman Comp 101 write up that explains how. I use Samba Pump, for which I paid a fee. MooMa.sh reported:
Stephen E Arnold, April 12, 2015
IBM Watson: The Recipe Fixation
April 12, 2015
Years ago I heard a Googler, maybe Jeff Dean, talk about recipes. Smart refrigerators, odd ball ingredients, a perfect meal from an automatic Google query. Whatever. Why not microwave a pizza and move on.
I am okay with food, but I don’t obsess. Free range, organic, industrial chicken. All okay.
“IBM’s Chef Watson Recipe Book Lets You Cook Like a Supercomputer” is a throwback to those heady days before Google was the darling of every country’s privacy watchdogs. But it is not Google. Today it is IBM and its Watson system. Watson is into food. In my opinion, it might be more satisfying to stakeholders if Watson were into generating big revenue and even bigger profits. Supersize that cash stream, please.
The article, almost lovingly, reported:
Cognitive Cooking” contains 65 original recipes generated from Watson’s computer brain. “The collection of recipes was crafted based on the system’s understanding of flavor compounds, food pairing theories and the psychology of people’s likes and dislikes,” IBM says. Chef Watson’s mind is full of thousands of recipes, ingredients, pleasing pairings and data about the chemical composition of food.
A dash of reality seasons the article, which I assume will be recycled in one of the tony publications IBM’s PR people target. I learned:
Watson still needs people to bring its culinary visions to life. Chef Watson may spit out the ideas, but human chefs from the Institute of Culinary Education tested and refined the recipes. It would be interesting to see which concepts didn’t make the cut.
There you go. I will have some tamarind with my Big Blue chicken. Hold the Turmeric.
Amazing. Will this be a best seller among food lovers? In Harrod’s Creek, cuisine runs more along the flavor profile of pan grilled squirrel. Does Watson do squirrel? Does Watson do sales?
Stephen E Arnold, April 12, 2015
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