Posts Tagged ‘taxonomy’

Alta Plana Takes The Pulse Of Text Analytics

wordcloudSeth Grimes, president and principal consultant of Alta Plana Corp. and founding chair of the Sentiment Analysis Symposium, has put together a thorough new report, Text Analytics 2014: User Perspectives on Solutions and Providers. Among the interesting findings of the report is that “growth in text analytics, as a vendor market category, has slackened, even while adoption of text analytics, as a technique, has continued to expand rapidly.”

Grimes explains that in a fragmented market, consisting of everything from text analytics services to solution-embedded technologies, the opportunities for users to practice text analytics is strong, but that increasingly text analytics is not the main focal point of the solutions being leveraged.

Reflecting the diversity of options, respondents listed among their providers a number of open-source offerings such as Apache OpenNLP and GATE, API services such as AlchemyAPI and Semantria, and enterprise software solution and business suite providers like SAP. The word cloud above was generated by Alta Plana at Wordle.net to show how users responded to the question of companies they know provide text/content analytics functionality. Nearly 50 percent of users are likely to recommend their most important provider.

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AlphaSense’s Advanced Linguistics Search Engine Could Buy Back Time For Financial Analysts To Do More In-Depth Research

alpha1When Raj Neervannan, CTO and co-founder of financial search engine company AlphaSense, thinks about search, he thinks about it “as a killer app that is only growing…..People want answers, not noise. They want to ask more intelligent questions and get to the next level of computer-aided intelligence.”

For AlphaSense’s customers – analysts at large investment firms and banks or any other industry, as well as one-person shops – that means search needs to get them out of ferreting through piles of research docs for the nuggets of information they really need. Neervannan knows the pain of trying to interpret a CEO’s commentary to understand what he or she was really saying when making the point that numbers were going down when referring to inventory turns. (Jack Kokko, former analyst at Morgan Stanley, is AlphaSense’s other co-founder.)

“You are essentially digging through sets of documents [using keyword search], finding locations of terms, pulling them in piece by piece and constructing a case as to what the company’s inventory turn was really like – what other companies’ similar information was, how that matches up. You have to do quantitative analysis and benchmarks, and it can take weeks,” he says.

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Enterprise Search Doesn’t Have To Stink

reamyimgaeThere’s one thing that Tom Reamy, chief knowledge architect at KAPS Group, says is a continual refrain among enterprise business users: Search sucks. IT regularly attempts to make things better by buying new search engines and for awhile, everything’s good – until content grows and things start to go downhill again.

Enterprise search, he explained to an audience at this week’s Enterprise Search & Discovery summit, “is never going to be solved by search engine technology” alone. It needs a helping hand from a number of different corners to improve the experience. Good governance and taxonomies can help, for example. But there are challenges in their use, such as the fact that the people who write documents for enterprise repositories can be very creative at avoiding tasks they don’t consider their jobs, such as categorizing documents for others to find during their searches, and even if they’re willing to do it, figuring out what a document is about is a very complex decision.

And, as beautiful a structure as a taxonomy may be to behold, marrying it to millions of documents is itself complex in scale and purpose for both authors and librarians who may have had nothing to do with its creation and so can’t be counted on to apply it well.

Less recognized for the role it can play in rescuing enterprise search is text analytics.

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Tax Time And The IRS Is On Our Minds

irs

Have you checked out the IRS Tax Map this year? If not, what better way to spend April 15 (aside from actually filing those returns, of course).

The IRS Tax Map, as explained here, actually began as a project in 2002, as a prototype to address the business need for improved access to tax law technical information by the agency’s call center workers. These days, Tax Map is available to taxpayers to offer them topic-oriented access to the IRS’s diverse information products, as well. It aims at delivering semantic integration via the Topic Maps international standard (ISO/IEC 13250), grouping information about subjects, including those referred to by diverse names, in a single place.

It was created for the IRS by Infoloom in cooperation with Plexus Scientific and Coolheads Consulting. Infoloom explains on its web site that it lets customers control what is returned by search queries via a topic map approach that lets them extract from existing content information on the topics they need to represent, without having to build a taxonomy of terms, and add specific knowledge to that information as part of the extraction process.

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Smarten Up Your Content

mmrWhat’s your content smarts? Chances are they’re not as strong as you’d like them to be.

Research this month from MindMetre Research shows that 89 percent of organizations believe they need to gain greater insight into their growing volumes of unstructured data to improve their commercial advantages and gain a competitive edge. That insight into such data, the research reports, could feed a number of business-boosting scenarios. “This content can be used to provide insights for proposals and projects, to inform business relationships, to enable collaboration, to avoid repetition of research, to repurpose content, and generally to streamline the flow of enterprise knowledge and avoid replication of work already done,” says Paul Lindsell, Managing Director of MindMetre.

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Connect The Dots: Embarcadero Technologies’ Update Integrates Metadata Governance Repository Knowledge With Its Database Tools

connectEmbarcadero Technologies has an update of its database tools –  ER/Studio, DBArtisan, Rapid SQL, DB Optimizer and DB Change Manager XE5 — that among its new features includes integration with its Connect metadata governance repository. Connect, which The Semantic Web Blog covered here, keeps all the information about an enterprise’s data — what it means and where it is – to bridge the gap between the work of governance teams and that of day-to-day operations.

“We are providing terrific metadata integration right in the product,” says Henry Olson, director of product management. It is effectively the first instance of collaboration, syndication and integration across ER/Studio, Embarcadero’s data architecture and modeling tools, DB PowerStudio database development, administration, and performance tuning solutions, and Connect. “That’s a deep theme for us because it is a perennial problem in large organizations to make the work of the data architect team more broadly available,” he says, “and to make others more aware of the data assets and better able to use them.”

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Expert System Releases Complete Solution for Taxonomy Creation, Deployment and Document Categorization

Expert System

CHICAGO, ILLINOIS–(Marketwired – Nov 5, 2013) - Expert System, the semantic technology company, today announces the launch of its Cogito Categorization Platform at the Taxonomy Boot Camp conference held in Washington, D.C. The platform leverages the Cogito semantic technology for an end-to-end taxonomy creation, deployment and document categorization solution.

 

Top-down or theoretical approaches in taxonomy development often result in unnecessary complexity, and often include nodes that are not representative of the content being categorized. Cogito Categorization Platform uses intuitive semantic analysis to ensure creation of a taxonomy driven by the most relevant concepts and topics in the actual content. Read more

Concept Searching Partners with Enterprise Knowledge

Concept Searching

McLean, VA, US and Stevenage, UK (PRWEB) October 17, 2013 — Concept Searching, the market leader in semantic metadata generation, auto-classification, and taxonomy management software, and developer of the Smart Content Framework™, has entered into a partnership agreement with Enterprise Knowledge, the consulting services company that delivers knowledge and information management, taxonomy design, application development, and project management. Read more

Connect Lets Enterprises Step Into Metadata Governance

rsz_connect_graphicsEarlier this year Embarcadero Technologies began discussing its product roadmap designed to help companies succeed at metadata governance management (see our story here). Today the vendor releases its metadata governance platform, Embarcadero Connect.

“It’s about making database tools smarter and users experts, about letting both database and business professionals to make better use of the data resources they have while aligning with governance, compliance and security initiatives,” says Henry Olson, director of product management.

There’s the job of dealing with Big Data, he agrees, but equally an urgent challenge is dealing with data complexity of the type he describes bedeviling one of Embarcadero’s mid-sized customers in the financial services sector. During a recent chat that customer described how it had several hundred systems and 380,000 distinct data elements.

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New Temnos Platform Aims To Help Publishers, Brands Better Understand Content To Better Optimize It

Content intelligence at scale. That’s the promise of the new Temnos platform from the company of the same name. Aimed equally at publishing networks that want to do a better job monetizing their output and brands with their own content initiatives, Temnos delivers metadata and metacontent for every URL sent its way, with the goal of helping the user understand its strengths and weaknesses, what audiences are primed to respond to it, how it might be repackaged to better direct to groups of readers or advertisers, what alternate headlines can be drawn out, and what summaries can be used, with the user’s choice of a more optimistic or pessimistic slant, low- or high-brow angle, and other features.

“It’s a good time to do this because both marketing advertising players and publishers and publishing networks are all hungry to make their products better,” says Temnos founder and executive chairman Tim Musgrove, who founded advanced semantic search and corpus analytics company TextDigger, which was acquired by Federated Media in 2010. Musgrove was Federated Media’s chief scientist in its Data Science Group until June, and Federated Media is one of the early adopters of the Temnos platform. “They find they can get a lot more leverage out of content marketing by doing this,” says Musgrove, helping to boost the CPM earned from marketers. “They can package their campaigns in a way that feels like it’s narrowing the targeting and not narrowing the inventory.”

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