Kwaga: Search for Email
January 30, 2011
Kwaga provides a solution for mail overload with semantic linguistic technology that works inside your email to recognize and organize the things you need to do. That means if you have forgotten to answer an email with a request/question, or if someone has neglected to respond to one of your requests/questions, Kwaga will figure this out and remind you. “Kwaga’s Gmail Smart Reminders available in the Chrome Web Store” announces the extension’s availability through Chrome. I haven’t tried it myself (a Firefox user), but it has gotten some excellent reviews. If you use Chrome/Gmail and would like to try it out, you can get Kwaga free at the Chrome Web Store.
Alice Wasielewski, January 30, 2011
Freebie
Real Time Sentiment
January 29, 2011
Navigate to the French language site TopJournaliste. You can browse the ratings calculated by a numerical recipe. You can leave a comment about a journalist. The idea is that the blend of sentiment analysis and crowd sourcing can provide insight into the behavior of a person with influence. If you don’t know a French journalist, try for Canal Plus’s Emilie Bessek or Jean-March Morandini. Interesting technology applications. We wondered how it would do with contributors to the Huffington Post, the ever accurate New York Times, Harrod’s Creek’s favorite TV channel, Fox News?
Stephen E Arnold, January 29, 2011
Freebie
Hakia and SENSEnews
January 29, 2011
We noted “Goldman’s Facebook Valuation Challenged by Semantic Technology.” The point of the write up is that technology developed by Hakia, a specialist software firm, suggests that Goldman Sachs may have made some valuation errors. According to the article:
SENSEnews, a tool developed by Dr. Riza Berkan, and the other creators of hakia semantic search technology, weights news from all over the world as a modifier of stock values. Not only that, but the technology suggests with a high degree of correlative value, market actions to be taken. It’s all pretty controversial, as can be expected, but looking at the data these last couple of weeks, the correlative value of SENSEnews’ data does bear scrutiny.
The write up explains where the Facebook valuation may be a bit optimistic.
If you want more information about Hakia, visit the firm’s Web site, www.hakia.com. If you want to be sure of making lots of dough. Get a job at Goldman Sachs. I am not sure that investment valuations bear much, if any, relationship to reality. Perception is important. Hakia may have a way to make “perceptions” more evident.
Stephen E Arnold, January 29, 2011
Freebie
The Year for Semantics? Finally?
January 25, 2011
Semantics are coming! Semantics are coming! Well, maybe. “Happy New Year: What’s Ahead for the Semantic Web “(Part 1) and (Part 2) is made up of more predictions for 2011, but this one reports the opinions of “industry names” about the near future of the semantic web.
My favorite quote,
“The business process model we build needs to be more closely aligned with what happens in the enterprise. I want us as a community to stop selling ‘semantics’ – the word and its variants are on all kinds of marketing materials these days! We should be selling our solutions to business and consumer needs, and just happen to be doing it with semantic tools.”
In both the posts, there is too much disparate stuff to summarize the whole thing briefly, but the two articles are divided into sections of Making Money, Fulfilling Enterprise Expectations, Customer Experiences, Where Search and Data are Going, Social Web, Government, and Challenges. Under Challenges, the author points out that 2010 for the semantic Web was like Waiting for Godot instead of the “killer year” that was hoped for. There is just as much optimism at the start of 2011. Maybe it’s the lure of the clean slate of the fresh new year, but 2011 seems again like it holds great promise for the semantic Web.
Alice Wasielewski, January 22, 2011
Exclusive Interview with the Founder of Xyggy
January 25, 2011
Last year, I had an email exchange with Dinesh Vadhia, founder of the Xyggy search and content processing company. I did some poking around as did one of my colleagues. We were able to engage Mr. Vadhia in a lengthy conversation on January 20, 2011. In the course of that discussion he said:
Xyggy’s item-search is a new framework for IR based on how people learn concepts and generalize to new items. For instance, shown one or two apples for the first time you will thereafter be able to point to apples every time one crosses your path. The apple may appear as the fruit or in an image and yet we have the remarkable ability to absorb a small amount of information and generalize to new instances. The ability to learn concepts from examples and to generalize to new items is one of the cornerstones of intelligence….Xyggy’s item-search method is a new IR tool for solving the ‘findability’ problem. Without a new tool you only have conventional and well travelled paths to address the problem.
We found his approach and insights refreshing. You can read the full text of the interview with Mr. Vadhia on the ArnoldIT.com Web site in the Search Wizards Speak sub-site. SWS is the largest collection of first-person statements about search and content processing available without charge. Why pay crazy amounts for recycled pablum. Read what search developers themselves say about their methods and systems.
Stephen E Arnold, January 25, 2011
Freebie
Linguamatics Says, Keep Experimenting
January 24, 2011
Linguamatics, which produces natural language processing technology, has posted a blog entry titled “Trend Analysis- Can a Prediction be Made?” The answer depends on the mathematics and the definition of a “prediction.”
For its example, the blog compares the popularity of a couple of politicians during their debates, as recorded through Twitter, to their election results. Using their I2E text mining software to analyze the Tweets, Linguamatics found a strong correlation.
However, the blog is missing details needed to definitively answer their own question. How did they use their data to calculate probability? Furthermore, what other types of predictions could this process make, and how?
The company claims that:
“This case study shows how the power of using NLP with the I2E software platform can be used to gain quite powerful insights on what is likely to happen based on opinions expressed by people using social media platforms.”
I’m afraid I’d have to see more results before I can agree with that opinion.
To read more about the company on their website, go to www.linguamatics.com.
Cynthia Murrell January 22, 2011
Freebie
Lexalytics and Salience
January 22, 2011
Salience is the newest refined text analysis engine to come out of Lexalytics. Salience can process any sort of English language text and can be integrated into an already present system in order to analyze business intelligence, reputation management, customer satisfaction and more. You can get more information at this Web page.
“One of the strengths of the Lexalytics’ Salience Engine is how open the engine is to adjustment. A deep and comprehensive data directory exists to tune various features of the engine and tweak text analytics processing to get the best out of your specific content.”
Salience has the ability to analyze the entire blogosphere for trends in records and is flexible enough to solve new problems as they arise.
Leslie Radcliff, January 23, 2011
Freebie
The Large Knowledge Collider
January 20, 2011
Semantic Web reports that “LarKC Turns Up The Volume On Web-Scale Reasoning Systems for the Semantic Web.” LarKC (pronounced “lark” and stands for Large Knowledge Collider) has released version 2.0. The program was initially developed as a platform to remove barriers between systems for the Semantic Web. Version 2.0 remakes the program from the ground up and allows for plug-ins with any sort of computer, cluster, or Amazon EC2 cloud.
“Now you have a platform that takes care of auto-distribution and auto-parallelization if your plug-in allows this…With auto-distribution and parallelization capabilities, “you can analyze larger data sets than before…you make use of multiple machines inside the cluster.”
LarKC’s purpose is to use plug-ins that can be reused by other sources without having to create new plug-ins in the process. Once one is implemented, it can be shared with others and run on the same platform, which is LarKC. LarKC’s last phase is to enter the market and find people interested in using/purchasing the program.
Whitney Grace, January 20, 2011
Freebie
Semantics. Complexity? What Complexity?
January 19, 2011
We’ve been trying to figure out a decent way to present all the various aspects of web semantics to our readers, so they would see how they all fit together. Some More Individual relieved the pressure from our shoulders with this lovely visualization of “The Common, Layered Semantic Web Technology Stack.” While it may resemble a Rubik’s Cube, each colored bar in the graphic represents a significant part of web semantics. It does appear complex and a comment by the designer Benjamin Nowack explains how he felt about his work:
“At least the concepts can be separated from specific technologies and the application layer has a different angle than before (which I personally think makes more sense).”
One can see how each part of Web semantics is inter-related and builds upon the other. The write-up also includes explanations for each part of the graphic to help one understand each bit’s purpose. If you still find web semantics complicated after reading the article, perhaps building a 3-D model out of Legos or Lincoln logs will help.
Whitney Grace, January 19, 2011
Freebie
Semantics, Here, Now!
January 17, 2011
Semantics are the means of taming the Internet search and information sources. Bulldog Solutions discusses semantics in the article, “Semantics Here and Now” by Seth Grimes. He reasonably argues that semantics are the key to web mining, customer engagement, and social-media analytics, but we haven’t reached the ultimate dream yet.
Grimes relates that semantics have a limited touchstone on which to base their information. By this, he means that search engines use semantics in a general sense and they’re not intended for a specific purpose/organization unless told to do so.
“These engines are great, but they’re not much help with information that resides in your organization’s own databases and operational systems, whether web-facing or accessible only to internal users. The ranking algorithms aren’t designed for enterprise priorities, the crawlers don’t reach into restricted-access systems and the interfaces don’t suit business workflows well. General-purpose tools aren’t top performers for focused business tasks such as supporting online storefronts and searching media sites.”
Semantics with a more personal touch are on their way, though. Grimes is already helping a couple enterprises with this idea and he says the market is now prime it. All you need to do is change how you view and give out information.
Whitney Grace, January 17, 2011
Freebie
-
- Subscribe to Beyond Search
Feature archive
News archive
-
