At this week’s SAP Sapphire conference. NetBase will be taking its relationship with the enterprise vendor to the next level. Last December the two paired up to bring NetBase’s social intelligence (SI) to SAP BusinessObjects’ business intelligence (BI).

Coming up now is a complete integration of the NetBase technology into SAP’s Social On Demand customer relationship management (CRM) console. “Having access to social data is becoming critical to every part of the organization,” says NetBase chief marketing officer Lisa Joy Rosner. So, “social media [becomes] just one more data point” for which the enterprise must account.

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SemTechBiz is Less Than 2 Weeks Away

The Semantic Tech & Business Conference (SemTechBiz) is coming to San Francisco on June 3-7! Join us for case studies, innovative panels, tutorials, and keynotes that will provide you with practical advice, hands-on guidance, and breakthrough approaches to solving business problems with semantic technology. Passes go up $200 at the door. Sign up now and save !

[Editor's Note: This guest post is by Tom Reamy, Chief Knowledge Architect and founder of KAPS Group, a group of knowledge architecture, taxonomy, and eLearning consultants. Tom has 20 years of experience in information architecture, intranet management and consulting, and education and training software.  Tom will be presenting a tutorial, Text Analytics for Semantic Applications and moderating a panel, Emotional Semantics - Beyond Sentiment at the upcoming SemTechBiz Conference in San Francisco.]

While sentiment analysis continues to generate a lot of press, it is not clear how much real value organizations are deriving from it.  One reason for that is that the standard approach to sentiment has been mostly statistical and/or long lists of sentiment terms.  However, if you add in other, advanced text analytics capabilities such as auto-categorization using advanced operators, you can not only develop more sophisticated sentiment analysis, you can also develop a whole new class of applications that either enhance and/or go beyond simple sentiment analysis.

These advanced operators include such commands as DEST_6 (count two words as a positive indicator only if they are with 6 words of each other) or SENT (only count words in the same sentence).

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Semantic technology may find a home in corporate America for tackling its big data problems, subject domain by subject domain. MIIAtech is betting that those first verticals will be customer relationship management and human resources domains.

The company today launches its Tautona natural language processing platform into the CRM space. The platform for searching structured and unstructured data in such systems is described as using deep linguistic analysis and reasoning technology to extract meaning from language to understand stored information. And via the web-based system that can run on their desktops, tablets or smart phones, users can query these databases in natural language in order to fulfill complex search requests. They can do it across languages, too, which can be important to organizations with global salesforces.

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If it’s been a while since you have looked in on the conference program for SemTech SF, you may have missed the addition of some significant, exciting sessions.  Recent additions to this year’s conference include:

Aditya Kalyanpur, research staff member for IBM Research will lead a session entitled “Building Watson: An Overview of the DeepQA Project for the Jeopardy! Challenge,” a discussion of the the DeepQA technology and describe what it was like to build a Watson, the computer system that won on Jeopardy!.

 

“The rise of the Interest Graph: How Semantic Technology Will Lead What’s Next for the Social Web.” Dave S Copps, CEO of PureDiscovery Corporation, will discuss the reasons why transactional searches will be replaced by social filtering. The real power and potential of semantic technologies will be unleashed as semantic vendors integrate the richness of the data being generated by the social graph (Twitter, Facebook, etc.) to create networks that share more than just a relationship.

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Fellow Consulting AG and NetBreeze GmbH integrate Web Monitoring in the CRM PR-USA.net (press release) The Fellow Consulting AG, CRM solutions provider with headquarters in Munich, in cooperation with NetBreeze, technology pioneer for semantic web analytics … and more »

PR-inside.com (press release)

Fellow Consulting AG and NetBreeze GmbH integrate Web Monitoring in the CRM PR-inside.com (press release) Semantic technologies help to make the huge amount of unstructured information usable. Especially in the CRM environment, the comprehensive knowledge of …

— TONY SHAW, OLIVER (OLLY) DOWNS

Tony Shaw: Hi Olly, so to get us started, could you give me a high-level overview of what Atigeo does?

Olly Downs: Absolutely. Atigeo’s platform, xPatterns, enables enterprises to derive insights from large, disparate sources of unstructured data. In doing so, we’ve taken two approaches toward how our platform is productized. The first approach is around aspects of our core technology, which allows us to build simple ontologies for domains of unstructured data and then act upon the understanding of the data – in response to queries or profiles of entities, for example. The second aspect of our product enables enterprises to provide customers the ability to access and manage their profile or persona.

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Destination CRM

Attensity Buys Biz360 for Social Media Monitoring Destination CRM At Attensity’s core is semantic technology that intersects with business processes, such as customer service and customer feedback. By bringing social media …

Introduction to the AXIS-CRM and to its implementation

1. The AXIS-Conceptual Reference Model

1.1 Generalities

A new modular and tailorable approach for the semantic modeling of static and dynamic knowledge has been elaborated under the name “AXIS Conceptual Reference Model” (AXIS-CRM). AXIS organizes that modeling as networks of Autonomous Semantic Objects (ASO). In turn, each ASO is expressed as a network of Elementary Semantic Entities (ESE). The ASO wraps the instances and their models to becomes ‘autonomous’. At Elementary Semantic Entity level (simply called ‘Entities’) the modeling uses four leveled constructors: Term; Document; Relation; Profile. The knowledge models and their instances are represented by a collection of Documents (among with the OWL files expressing the models) bundled by a Configuration Management Document (based on RDF). These collections are semantic Entities that can represent any topical subject or object. These Entities are linked through typed Relations. The dynamic aspects (events) and the imports / exports are also managed by dedicated Entities.

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Better text mining makes it possible to connect information in a variety of sources. The technology can connect information in CRM databases with consumer e-mails and help desk reports to provide a more complete view of the customer. Text mining can also be used in national security applications to better identify terrorists and security threats; it can assist in marketing to mine reviews for feedback on products such as movies, books and music. It can help in scientific research by providing a way to better connect scientific articles.

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