Linguamatics Embraces Informatics
February 9, 2012
Fierce Biotech IT announces, “EU Program Backs Linguamatics and ChemAxon’s Informatics Work.” The European Union’s Eurostars Program grants research and development funding to small and medium companies.
The project being funded is, according to the companies, the first interactive text-mining system specifically for chemistry research. Writer Ryan McBride elaborates:
The companies say that pharma and biotech outfits are expected to be the main customers for the technology. With this tool, ChemAxon and Linguamatics want drug companies or other users to be able to do chemical evaluations, hunt for new chemicals, get structure visualizations in searches and ‘explore image to structure conversion,’ according to the companies’ press release.
More personalized medical research is expected to be one application of the system. That sounds promising.
ChemAxon serves the biotechnology and pharmaceutical fields worldwide, providing chemical software development platforms as well as desktop applications.
Linguamatics bases its data management solutions on natural language processing technology. I2E is the company’s flagship text mining software, also available in the cloud as I2E OnDemand.
Cynthia Murrell, February 9, 2012
Sponsored by Pandia.com
Inteltrax: Top Stories, January 30 to February 3, 2012
February 6, 2012
Inteltrax, the data fusion and business intelligence information service, captured three key stories germane to search this week, specifically, how governments are embracing and utilizing big data analytics, especially during this early stage in the 2012 political cycle.
We got a good overall look at the issue from the story, “Government Healthcare and Analytics Make a Good Team,” showed how, as the title implies, this pairing is making some impressive waves in the world.
Another story, “Social Media and Politics Share Big Data Love” showed us how Ron Paul and others have utilized social media to get a better take on the issues.
Finally, the most promising of our stories, “Government Grows Into Big Data Workhorse” shows how governments around the globe could kick start a big data revolution.
Analytics and big data are growing by leaps and bounds. However, it seems as if government can be its best friend and often tries to be so. We’re going to keep chronicling this partnership, because we sense big things on the horizon.
Follow the Inteltrax news stream by visiting www.inteltrax.com.
Patrick Roland, Editor, Inteltrax, February 6, 2012
Sponsored by Pandia.com
Semantic Wranglers to Tame Media Content
February 6, 2012
When the prolificacy of the media scape overwhelms, it is semantic technology to the rescue. So declares ReadWriteWeb in “Semantic Tech the Key to Finding Meaning in the Media.” Writer Chris Lamb maintains that today’s deluges of information have made attention span the prize, and delivering relevancy the key. Strategies have included tapping readers’ social graphs, profiles, and preferences to filter news content. Lamb writes:
These current approaches are doomed. With respect to social graph curation, people have different roles at during different times. On the weekend, a reader might be interested in arts, entertainment and sports news based on a friends and family. During the week, this same person may be interested in business news based on recommendations from trading partners in the capital markets. How do readers seamlessly reconcile this?
Lamb doesn’t have the answer, but says he does know what technologies will underlie the eventual solutions: tagging, semantic extraction, disambiguation, and linked data structures (including cloud data). See the write up for more the reasoning behind each.
Semantic technology can perform useful functions. Rich media pose some special challenges. Among them are the issues of data volume and available processing power, latency, and variability in indexable content. What about a silent movie? What about a program which features interviews with individuals with a substance abuse problem who speak colloquially with a mumble?
Cynthia Murrell, February 6, 2012
Sponsored by Pandia.com
Craig Norris Leaves Attensity
February 2, 2012
Chiliad has issued the press release, “New CEO Begins Duties at CHILIAD in Herndon, VA.” Craig Norris is leaving Attensity to head that company. Attensity, owned by Aeris Capital, is positioned as a global natural language analytics company. Chiliad seems to be its direct competitor. Interesting.
Chiliad Chairman Patrick Gross noted a couple of challenges his company’s new CEO has already tackled:
The first is the ability to rapidly search data collections at greater scale than any other offering in the market. The second is to allow search formulation and analysis in natural language. This means that no longer is an elite class of analysts required in order to generate meaningful results, thus reducing the personnel training and skills shortages that plague alternative solutions and put timely discovery at risk. The explosion of ‘Big Data’ is real and valuable findings are buried in vast collections for both enterprises and governments. Chiliad has the opportunity to integrate its innovative, massively scalable solutions with emerging open source software to build customized solutions for the largest-scale clients.
It will be interesting to see how the market reacts to this shift.
Cynthia Murrell, February 2, 2012
The Heat in SharePoint Semantics: January 20 – January 27
January 31, 2012
As always, SharePoint Semantics has delivered many posts that are vitally important to both SharePoint end users and search enthusiasts alike.
The first post that I would like to share with you is entitled “SharePoint Joel Lists Seven Actions to Take Before Calling Microsoft Support.” This post shares helpful hints on how to solve your SharePoint issues on your own before having to involve Microsoft.
Writer Ken Toth summarizes the key points:
“The seven things you should do are: 1. Review the Service Pack and Cumulative Update Level 2. Reboot / Recycle 3. Eliminate Third-Party Add-ons as the Issue 4. Engineers Escalate / Partner / Awareness (maybe you could solve the problem in-house if you asked engineering) 5. Isolate the Issue 6. Code Issue 7. Reach Out to the Community (Twitter and/or Newsgroups).”
Many organizations use wikis to gather and share ideas on SharePoint quickly and efficiently. The post “Build the Best Microsoft SharePoint Wiki You Can Build” shares virtues and tips on how to make a SharePoint wiki work effectively for your business.
Toth states:
“To be useful, the wiki must be easy to navigate and provide all of the resources the SharePoint end user needs linked into the wiki Home page. In this way the wiki can be a one-stop shop for information about every task team members need to accomplish. Contributions are limited in order to make sure the information is accurate.”
Another noteworthy post from this week is “Excellent Resources on End User Issues for Those New to SharePoint” which points beginners with no previous experience with SharePoint to small to medium-sized implementations to resources that can be of help.
After sharing the three helpful resources for SharPoint end users, Toth notes:
“The three resources above can be quite useful for beginning users of SharePoint in smaller deployments, but if you have frustrated end users in an enterprise deployment, look to Smartlogic. The Semaphore Content Intelligence Platform provides a comprehensive solution to frustrating out of the box SharePoint search and navigation.”
As always, while these articles provide helpful tips for users to efficiently overcome the lack of out-of-the box help that SharePoint provides, It is important that users recognize the web application platform’s limitations and utilize other products like Smartlogic’s Semaphore Content Intelligence Platform. Smartlogic fills in the gaps by using semantic technology to deliver information quickly and in context.
Jasmine Ashton, January 31, 2012
Search Only Goes So Far
January 30, 2012
Infocentric Research surveyor Stephan Schillerwein, who presented his findings at the Online Information Conference, released some alarming statistics about enterprise search in his report “The Digital Workplace.” Among the points which jumped out at me were 40 percent of employees use the wrong information when conducting enterprise searches and 63 percent “make critical decisions without being informed,” which results in a 25 percent work information productivity loss.
According to the Pandia Search Engine News Article “Huge Problems for Search In the Enterprise” Schillerwein believes there are a few reasons why enterprise search is problematic. Users don’t account for the fact that enterprise search is different from Web Search, they have unrealistic expectations and there is a clear problem of lack of content. The Pandia article asserted: Schillerwein suggests a solution based on several elements, such as consistent coverage of information flows for processes, bringing together the worlds of structured and unstructured information, and adding context. I would agree as this ability to combine structured and unstructured data while maintaining context is key in our approach. However, when you combine the crowded jumble of tweets, social media and other data that crowd employees’ smart devices the problems with enterprise search could continue to take a downward spiral and “finding a needle in a haystack” could be easier than doing an enterprise search.
These observations triggered several questions and observations.
First, there are a number of companies offering enterprise information solutions. Many are focused on the older approach of key word queries. There are business intelligence systems which provide “find-ability” tools along with a range of useful analytic features. Although search is not the focal point of these solutions, they do provide useful visualizations and statistics on content. The problem is that most organizations are confused about what is needed and what must be done to maximize the value of systems which go beyond key word retrieval. This confusion is likely to play a far larger role in enterprise search challenges than many market analysts want to acknowledge. Instead, many solutions today seem to be making information access more confusing and problematic, not clearer and more trouble free.
Second, the challenge may be more directly related to figuring out what specific business process needs which information. Without a clear understanding of the user’s requirements, it may be difficult to deploy a system that delivers higher user satisfaction. If this hypothesis is correct, perhaps more vendors should adopt the approach we have taken at Digital Reasoning. We make an extra effort to understand what the user requires and then invest time and resources in hooking appropriate information and data into the system. No solution can deliver the right fact-based answers if the required information is not within the data store and available to the algorithms which make sense of what is otherwise noise? We think that many problems with user acceptance originate with a misunderstanding or sidestepping of user requirements and the fundamental task of getting the necessary information for the system.
Third, the terminology used to describe information retrieval and access is becoming devalued. At Digital Reasoning, we work to explain succinctly and without jargon how our next-generation system can facilitate better decision making for financial, health, intelligence, and other professional markets. We have complex numerical recipes and sophisticated systems and methods. Our focus, however, is on what the system does for a user. We have been fortunate to receive support from a range of clients from government and industry as well as the investment community for our next-generation approach. We think our strength is our focus on the customer’s need and not only our unique predictive algorithms and cloud-based solution.
To learn more about Digital Reasoning and our products, navigate to www.digitalreasoning.com .
Dave Danielson, Digital Reasoning, January 30, 2012
Sponsored by Pandia.com
Prediction Data Joins the Fight
January 12, 2012
It seems that prediction data could be joining the fight against terrorism. According to the Social Graph Paper article “Prediction Data As An API in 2012” some companies are working on developing prediction models that can be applied to terror prevention. The article mentions the company Palantir “they emphasize development of prediction models as applied to terror prevention, and consumed by non-technical field analysts.” Recorded Future is another company but they rely on “creating a ‘temporal index’, a big data/ semantic analysis problem, as a basis to predict future events.” Other companies that have been dabbling in big data/prediction modeling are Sense Networks, Digital Reasoning, BlueKai and Primal. The author theorizes that “There will be data-domain experts spanning the ability to make sense of unstructured data, aggregate from multiple sources, run prediction models on it, and make it available to various “application” providers.” Using data to predict the future seems a little farfetched but the technology is still new and not totally understood. Everyone does need to join the fight against terrorism but exactly how data prediction fits in remains to be seen.
April Holmes, January 12, 2012
Sponsored by Pandia.com
Big Data in 2012: Reliable Open-Source Software Required
January 11, 2012
Enthusiasm and optimism that Big Data as a concept is the next big thing. We are almost ready to board the Big Data bull dozer. The hoopla surrounding Big Data has not died down in 2012. Instead, the concept demonstrates the continuing environment of processing and analysis.
As businesses become aware that the Big Data trend is here to stay, publishers are looking for reliable support. The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The company offers much in the way of dealing with unstructured data and is setting the pace for consolidation as well as personalization. I came across an interesting article, “State of the World IT: Big Data, An Offer That is Formed” (The original article is in French, but http://translate.google.com works well for this gosling). We learn:
As a recognition of the market in 2011, Hadoop has also attracted the top names in the IT industry who put this framework in the heart of their range of data processing volume. One reason: the cost mainly reminded us James Markarian, executive vice president and technical director of Informatica confirming that the framework ‘helped to change the economic model of the Big Data.’ Adding that flexibility… was as a criterion for adoption.
It is clear that the excess of data will only continue to grow by the minute. Generations of search, publishing, and consolidation will continue to emerge. I recommend staying informed of the products and the specific capabilities of each. However, Big Data which is filtered may pose some interesting problems; for example, will the outputs match the pre-filtered reality? Will predictive methods work when some data are no longer in the stream? So far the cheerleading is using chants from an older, pre-filtering era. Is this a good thing or a no-thing?
Andrea Hayden, January 11, 2012
Sponsored by Pandia.com
Temis, Spammy PR, and Quite Silly Assertions
January 11, 2012
I am working on a project related to semantics. The idea is, according to that almost always reliable Wikipedia resource is:
the study of meaning. It focuses on the relation between signifiers, such as words, phrases, signs and symbols, and what they stand for, their denotata.
Years ago I studied at Duquesne University, a fascinating blend of Jesuit obsession, basketball, and phenomenological existentialism. If you are not familiar with this darned exciting branch of philosophy, you can dig into Psychology from an Empirical Standpoint by Franz Brentano or grind through Carl Stumpf’s The Psychological Origins of Space Perception, or just grab the Classic Comic Book from your local baseball card dealer. (My hunch is that many public relations professionals feel more comfortable with the Classic approach, not the primary texts of philosophers who focus on how ephemera and baloney affect one’s perception of reality one’s actions create.)
But my personal touchstone is Edmund Husserl’s body of work. To get the scoop on Lebenswelt (a universe of what is self-evident), you will want to skip the early work and go directly to The Crisis of European Sciences and Transcendental Phenomenology. For sure, PR spam is what I would call self evident because it exists, was created by a human (possibly unaware that actions define reality), to achieve an outcome which is hooked to the individual’s identify.
Why mention the crisis of European thought? Well, I received “American Society for Microbiology Teams Up With TEMIS to Strengthen Access to Content” in this morning’s email (January 10, 2012). I noted that the document was attributed to an individual identified as Martine Fallon. I asked to be removed from the spam email list that dumps silly news releases about Temis into my system. I considered that Martine Fallon may be a ruse like Betty Crocker. Real or fictional, I am certain she or one of her colleagues, probably schooled in an esoteric discipline such as modern dance, agronomy, and public relations are familiar with the philosophical musings of Jean Genet.
You can get a copy of Born to Lose at this link.
I recall M. Genet’s observation:
I recognize in thieves, traitors and murderers, in the ruthless and the cunning, a deep beauty – a sunken beauty.
Temis, a European company in the dicey semantic game, surely appreciates the delicious irony of explaining a license deal as a “team”. The notion of strengthening access to content is another semantic bon mot. The problem is that the argument does not satisfy my existential quest for factual information; for example, look at the words and bound phrases in bold:
Temis, the leading provider of Semantic Content Enrichment solutions for the Enterprise, today announced it has signed a license and services agreement with the American Society for Microbiology (ASM), the oldest and largest life science membership organization in the world.
Do tell. Leading? Semantic content enrichment. What’s that?
What about outfits like Access Innovations, Concept Searching, Expert System SA, Smartlogic, and more than 75 other firms in the semantic space. The “leading” word is interesting but it lacks the substance of verifiable fact. Well, there’s more to the news story and the Temis pitch. Temis speaks for its client, asserting:
To serve its 40,000 members better, ASM is completely revamping its online content offering, and aggregating at a new site all of its authoritative content, including ASM’s journal titles dating back to 1916, a rapidly expanding image library, 240 book titles, its news magazine Microbe, and eventually abstracts of meetings and educational publications.
I navigated to the ASM Web site, did some poking around, and learned that ASM is rolling in dough. You can verify the outfit’s financial status at this page. But the numbers and charts allowed me to see that ASM has increasing assets, which is good. However, this chart suggests that since 2008, revenue has been heading south.
Source: http://www.faqs.org/tax-exempt/DC/American-Society-For-Microbiology.html
In my limited experience in rural Kentucky, not-for-profits embrace technology for one of three reasons. Let me list them and see if we can figure out what causes the estimable American Society for Microbiology.
Connotate Embraces Big Data
January 10, 2012
The Internet is an environment where unregulated data is being created at rapid rates. It has become far too much for company staff to keep track of. Therefore, software that collects and organizes Big Data is becoming a hot commodity for enterprises all over the world.
According to the recent news release “Staffing and the Volume of Information are the Primary Big Data Challenges” Connotate, Inc., a provider of solutions that help organizations monitor and collect data and content from the Web, announced the results of its Big Data Attitudes and Perceptions Survey.
Connotate CEO Tom Meyer said:
Our research shows that Big Data goes beyond technology and is an HR challenge for corporate America. While it is important that organizations devote resources to Big Data, employees must be freed from the information fire hose so they can concentrate only on the information that is relevant to their tasks. Connotate’s Agent Community data extraction and monitoring tools are a proven force multiplier, enabling companies to drastically reduce the amount of personnel needed to run and achieve significant ROI from Big Data projects.
The Connotate survey suggests that companies are finding it too time consuming and impractical for their staff to sort through Big Data. Companies focused on data fusion are responding to the explosion in social content. Clients demand; vendors respond.
Jasmine Ashton, January 10, 2012
Sponsored by Pandia.com
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