Note: Representatives from Lymba will be speaking at the upcoming SemTechBiz Conference in San Francisco. See Intuitive Semantic Analysis of Unstructured Natural Language Data Using Visualization and Natural Language Question-Answering on Heterogenous Data Resources.

Lymba Corporation, an emerging technology leader in Natural Language Processing (NLP) and Semantic Technologies, today announced that it has been named one of the “100 Companies That Matter in Knowledge Management” by KMWorld Magazine.

“Criteria for inclusion varies, but all winning companies have things in common. Each has either helped to create a market, redefine one or enhance one, and they all share two things—the velocity of innovation and the agility to serve their customers,” says Hugh McKellar , KMWorld Editor-in-Chief. Read more

Cambridge Semantics [a company we have covered numerous times] has been named one of KMWorld’s 100 Companies that Matter in Knowledge Management. The 13th annual list was compiled by knowledge management practitioners, theorists, analysts, vendors, users and colleagues and recognizes the companies that have demonstrated an unwavering commitment to helping bolster an organization’s collective intelligence. To view the full list visit http://www.kmworld.com.

KMWorld Editor-in-Chief, Hugh McKellar noted, “This year’s KMWorld 100 represents the organizations in the knowledge management industry that have either helped to create, redefine or enhance a market. Each has demonstrated both velocity of innovation and the agility to serve their customers, directly impacting business outcomes.” Read more

A new article out of the company reports, “IO Informatics, the leader in semantic data integration and knowledge management for life sciences and healthcare, announced today it has launched its Sentient iDA in cooperation with Sage-N Research, Inc., the inventor of Integrated Data Appliance (iDA) systems. As the result of a partnership announced March 2012, a new line of iDA products and services will be released, forming plug-and-play, end-to-end solutions for researchers to integrate, discover, and visualize experimental data and information from public resources.” Read more

KMWorld has named Smartlogic one of the “100 Companies That Matter” in the field of knowledge management for the second year in a row. According to the article, “Smartlogic, with its US headquarters in San Jose, CA, are the makers of Semaphore, the Content Intelligence Platform now used world-wide by hundreds of leading business enterprises. Semaphore complements an organization’s investments in Enterprise Search, Business Intelligence and Content Management with Content Intelligence… According to the KMWorld judges, Smartlogic’s Semaphore software was singled out for its unique component capabilities to analyze, classify and reveal content by offering ontology management, content classification, text mining and semantic analysis.” Read more

Antony Savvas reports that the Environment Agency is “deploying an open source knowledge management system to compile and share information on around 500 river restoration projects throughout Europe. The Wiki-style online information source will be used by European government agencies, engineers, ecologists, planners and other parties involved in restoring rivers.” Read more

Former Paypal and Intuit CEO Bill Harris these days is heading up financial advisory service Personal Capital, which now is adding an independent media property to its portfolio to aggregate and deliver financial news to individuals. That new property, Daily Capital, launches today and is powered by Eqentia’s semantic technology. Eqentia offers a content discovery and knowledge management portal for consumers, and also has other enterprises using its technology for their backbone portal infrastructures. But Eqentia CEO William Mougayar thinks this deal is likely the biggest one so far in terms of how much visibility it’s going to get and its potential to grow.

As Harris explains to The Semantic Web Blog in an email interview, Personal Capital provides clients with a holistic view of their complex financial lives, “and the mission of Daily Capital is the same: to cut through the clutter and highlight the best financial content from around the Web.”

Read more

[Editor's Note: This week, we welcome Yefim "Jeff" Zhuk of Sallie Mae as he presents a series on Knowledge-Driven Architecture. This series follows up the author’s presentation at the recent international 2011 Semantic Technology Conference San Francisco and further expands on the subject of integrated software and knowledge engineering, originally described by Mr. Zhuk in the book “Integration-ready Architecture and Design.” Part I | Part II | Part III]

Part IV – Creating a semantically rich service environment locally and across industry

Part III focused on the Conversational Semantic Decision Support (CSDS) and related Use Cases.

This example can be expanded from requirements to design and development phases, including hints on service names and application messages. Standards, recommendations and best practices offered by W3C [6] can serve as the base for conversational scripts, which would help a SME, (in this case, a software developer) to successfully implement them and create a truly semantically rich SOA environment.
Read more

[Editor's Note: This week, we welcome Yefim "Jeff" Zhuk of Sallie Mae as he presents a series on Knowledge-Driven Architecture. This series follows up the author’s presentation at the recent international 2011 Semantic Technology Conference San Francisco and further expands on the subject of integrated software and knowledge engineering, originally described by Mr. Zhuk in the book “Integration-ready Architecture and Design.” Part I | Part II | Part IV]

Part III - Transitioning From “What” to “How” and explaining Conversational Semantic Decision Support (CSDS) with Use Cases

a)      Formalization of Business Rules

One of the current development trends is a shift to rule-based applications. As more flexible and quickly adaptive to business changes, rule-based applications live a longer life and provide higher return on investment.

Conversational semantic decision support can be very helpful in the process of collecting and formalizing the rules [5]. CSDS will make sure that the rules are expressed in the known terms and the rules criteria are directly tied to existing data.
Read more

[Editor's Note: This week, we welcome Yefim "Jeff" Zhuk of Sallie Mae as he presents a series on Knowledge-Driven Architecture. This series follows up the author’s presentation at the recent international 2011 Semantic Technology Conference San Francisco and further expands on the subject of integrated software and knowledge engineering, originally described by Mr. Zhuk in the book “Integration-ready Architecture and Design.” Part I | Part III | Part IV]

Part II

Looking for a black cat in a dark room

In the corporate world, each clerk and department has their own knowledge compartment.

Prepared for consumption by an author or a single group, information is based on “tribal knowledge” assumptions and naturally has multiple gaps, especially for other groups and departments. In increasingly interconnected businesses, informational gaps lead to productivity loss.

Compartmentalized information is usually hidden and locked inside complex tools. No surprise that we spend from 30 to 50% time looking for information. Not because we love searching… It’s just hard to find something that was hidden (not intentionally!) and especially something that has never been captured.

We often find ourselves looking for a black cat in a dark room.
Read more

The W3C recently interviewed Jeanne Holm, Chief Knowledge Architect at the Jet Propulsion Laboratory at Cal Tech. Holm also leads the Knowledge Management team at NASA. In the interview, Holm stated, “The goal of our project was to make it easy find expertise within an organization, or, as you’ll see, across organizational boundaries. The project is called POPS for ‘People, Organizations, Projects, and Skills.’ The acronym does not include E for Expert for a good reason: we tried three times to create a system with data specifically about expertise, but failed each time for different social reasons. Each attempt relied on self-generated lists of expertise. In the first attempt, people over- or under-inflated their expertise, sometimes to bolster their resumes. The second attempt prompted labor unions to get overly involved because greater expertise could be tied to higher pay. The third approach involved profiles verified by management, and that led to a number of human resources grievances when there was a disagreement. In all cases, the data became suspect.” Read more