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Category: Semantic Technologies (page 1 of 4)

Speaker Spotlight: John Felahi – Making content findable

In another installment of Speaker Spotlight, we posed a couple of our frequently asked questions to speaker John Felahi, Chief Strategy Officer at Content Analyst Company, LLC. We’ve included his answers here. Be sure to see additional Speaker Spotlights from our upcoming conference.

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Speaker Spotlight: John Felahi

Chief Strategy Officer

Content Analyst Company, LLC

 

What is the best overall strategy for delivering content to web, multiple mobile, and upcoming digital channels? What is the biggest challenge? Development and maintenance cost? Content control? Brand management? Technology expertise?

One of the biggest challenges to delivering content to the web is making it as findable as possible to potential interested viewers.  While traditional, manual tagging and keyword search methods may have gotten us this far, and may be good enough for some use cases, they’re still not without limitations. The good news is, there are far more advanced, sophisticated – and automated – technologies available to remedy the numerous limitations of manual tagging content and keyword-based search. The limitations of manual tagging and keyword-based include:

  • Term creep – New terms constantly emerge, requiring taxonomies to be constantly updated.
  • Polysemy – Take Apple, for example. Is your user searching for the company, the Beatles’ record label, or the fruit?
  • Acronyms – Texting has introduced an entirely new language of acronyms (LOL, TTYL, WDYT).  Manually tagging content requires the editor to consider possible acronyms the users will be searching for.
  • Abbreviations – Tagging content with long, scientific terms, geographies, etc. require editors to factor these in along with the long terms they represent.
  • Misspellings – Thanks to spellcheck and autocorrect, technology has become much more forgiving for those who never made it past the first round eliminations in their sixth grade spelling bee. Content search, unfortunately, needs to be equally accommodating, if you want your users to find your content – which means tagging it with common misspellings.
  • Language – The web has certainly made the world a much smaller place, but that doesn’t mean everyone speaks English.  Making content findable in any language means it has to also be tagged in multiple languages.

On to the good news – there’s technology that’s been used for years in eDiscovery and the US Intelligence Community to overcome these very challenges, but for different reasons. Because the bad guys aren’t tagging their content to make it more findable, the intel community needs a better way to find what they’re looking for. And in eDiscovery, finding relevant content can make a multi-million dollar difference to the outcome of a particular litigation or other regulatory matter. That’s why tens of thousands of legal reviewers and countless analysts in the intel community use a technology known as concept-aware advanced analytics.

How concept-aware advanced analytics differs from manual tagging and keyword search

As its name implies, concept-aware understands the underlying concepts within the content. As such, it can tag content automatically.  On the viewer’s side, content can be found by simply saying, “find more like this.” Categories are defined by taking examples that represent the concepts of a category. The system “learns” what that category is all about, and can then identify conceptually similar content and apply the same category. The process is the same on the search side. The user points to a piece of content and says, “find more like this.” Or as the content publisher, you present the viewer with conceptually similar content, i.e., “you may also be interested in these articles.”

While concept-aware advanced analytics doesn’t necessarily replace manual tagging and keyword search – which work very well in certain situations – the technology clearly overcomes many of the limitations of traditional tagging and search methods.

Catch Up with John at Gilbane

Track E: Content, Collaboration, and the Employee Experience

E7: Strategic Imperatives for Enterprise Search to Succeed
Wednesday, December, 4: 2:00 p.m. – 3:20 p.m.

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Sophia Launches Sophia Search for Intelligent Enterprise Search and Contextual Discovery

Sophia, the provider of contextually aware enterprise search solutions, announced Sophia Search, a new search solution which uses a Semiotic-based linguistic model to identify intrinsic terms, phrases and relationships within unstructured content so that it can be recovered, consolidated and leveraged. Use of Sophia Search is designed to minimize compliance risk and reduce the cost of storing and managing enterprise information. Sophia Search is able to deliver a “three-dimensional” solution to discover, consolidate and optimize enterprise data, regardless of its data type or domain. Sophia Search helps organizations manage and analyze critical information by discovering the themes and intrinsic relationships behind their information, without taxonomies or ontologies, so that more relevant information may be discovered. By identifying both duplicates and near duplicates, Sophia Search allows organizations to effectively consolidate information and minimizing storage and management costs. Sophia Search features a patented Contextual Discovery Engine (CDE) which is based on the linguistic model of Semiotics, the science behind how humans understand the meaning of information in context. Sophia Search is available now to both customers and partners. Pricing starts at $30,000. http://www.sophiasearch.com/

Federated Media Acquires Technology Suite from TextDigger

Federated Media Publishing, a “next-generation” media company, announced the acquisition of a platform for semantic and linguistic profiling of web-based content from TextDigger, a San Jose-based semantic search startup. FM provides a full suite of media and marketing services for brand advertisers that depends heavily on a proprietary media and marketing technology platform. TextDigger’s technology complements FM’s platform with a set of semantic solutions for content tagging, filtering and clustering, as well as related tools that enhance the user experience, ad targeting, and semantic search engine optimization for a site. TextDigger will continue its search business, all of TextDigger’s customers will continue to be supported by either FM or TextDigger, depending on the type of project or service. www.federatedmedia.net www.textdigger.com

Open Text to Acquire Nstein

Open Text Corporation (NASDAQ:OTEX) (TSX: OTC) and Nstein Technologies Inc. (TSX-V: EIN) announced that they have entered into a definitive agreement by which Open Text will acquire all of the issued and outstanding common shares of Nstein through an Nstein shareholder-approved amalgamation with a subsidiary of Open Text under the Companies Act (Québec). Based on the terms of the definitive agreement, Nstein shareholders will receive for each Nstein common share, CDN $0.65 in cash, unless certain eligible shareholders otherwise elect to receive a fraction of an Open Text TSX traded common share, having a value of CDN $0.65 based on the volume weighted average trading price of Open Text TSX traded common shares in the 10 trading day period immediately preceding the closing date of the acquisition. This purchase price represents a premium of approximately 100 percent above the 30 trading day average closing price of Nstein’s common shares. The transaction is valued at approximately CDN $35 million. Based in Montreal, Nstein’s solutions are sold across market segments such as media and information services, life sciences and government. The transaction is expected to close in the second calendar quarter and is subject to customary closing conditions, including approval of two-thirds of the votes cast by Nstein’s shareholders and applicable regulatory and stock exchange approvals. A special meeting of Nstein’s shareholders is expected to be held to consider the amalgamation in early April, 2010. http://www.opentext.com, http://www.nstein.com

Ontopia 5.0.0 Released

The first open source version of Ontopia has been released, which you can download from Google Code. This is the same product as the old commercial Ontopia Knowledge Suite, but with an open source license, and with the old license key restrictions removed. The new version has been created by not just by the Bouvet employees who have always worked on the product, but also by open source volunteers. In addition to bug fixes and minor changes, the main new features in this version are: Support for TMAPI 2.0; The new tolog optimizer; The new TologSpy tolog query profiler; The net.ontopia.topicmaps.utils. QNameRegistry and QNameLookup classes have been added, providing  lookup of topics using qnames; Ontopia now uses the Simple Logging Facade for Java (SLF4J), which makes it easier to switch logging engines, if desired. http://www.ontopia.net/

MuseGlobal and Specialty Systems Partner

MuseGlobal announced a partnership with Specialty Systems, Inc., a company focusing on innovative information systems solutions to Federal, State and Local Government customers. Specialty Systems, Inc. is partnering with MuseGlobal to provide the systems integration expertise to engineer law enforcement and homeland security applications built on MuseGlobal’s MuseConnect, which provides federated search and harvesting technologies, with a library of more than 6,000 pre-built source connectors. The applications resulting from this partnership will incorporate unified information access allowing structured data from database sources; semi-structured data from spreadsheets, forms and XML sources; unstructured data from web sites, documents, email; and rich media such as images, video and audio information to be accessed simultaneously from internal databases and external sources.  This information is gathered on the fly, and unified for immediate presentation to the requestor. http://www.specialtysystems.com, http://www.museglobal.com

SDL Tridion Integrates Q-go Natural Language Search into Web Content Management

SDL Tridion announced that it has partnered with Q-go to provide an integrated Natural Language Search engine within SDL Tridion’s web content management platform. The solution provides the online search environment within websites only targeted and relevant search results. Q-go’s Natural Language Search is now accessible from within the SDL Tridion web content management environment. Content editors are able to create model questions in the Q-go component of the SDL Tridion platform. This means that the most common questions pertaining to products and the website itself can be targeted and answered by web content editors, creating streamlined content and vastly increased relevance of searches. The integration also means that only one interface is needed to update the entire website, which can be done anywhere, anytime. You can find more information on the integration at the eXtensions Community of  http://www.sdltridionworld.com

Autonomy Unveils Expertise Location Capability for iManage Universal Search

Autonomy Corporation plc (LSE:AU. or AU.L) unveiled a new Expertise Location module for its iManage Universal Search (IUS) solution, the company’s pan-enterprise search solution tailored for law firms. With this new module, lawyers can connect with other subject matter experts within the law firm, enabling the firm to efficiently staff matters and match the right talent with the needs of a case. Powered by Autonomy’s Meaning Based Computing platform, IDOL, the IUS Expertise Location module supports a law firm’s complete practice support needs on a single platform. IUS leverages IDOL’s ability to automatically build conceptual profiles of users based on the understanding of information. As lawyers interact with information as part of their daily routine in the iManage WorkSite document and email management system or IUS such as create or view documents, respond to emails, create time entry systems, etc., IUS can automatically build a profile of the user in real-time. As a result, IUS can identify experts within the law firm and connect their expertise with the most relevant information from multiple content repositories. With IDOL’s meaning-based approach, a user can find an expert even if the exact search terms are not included in the users’ profile. For example, searching for an expert in ‘copyright law’ will also show experts in conceptually related areas, such as ‘trademark’. The Expertise Location module is an add-on to iManage Universal Search and is available now. http://www.autonomy.com/imanage

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