Tag: Semantic software

Why is it so Hard to “Get” Semantics Inside the Enterprise?

Semantic Software Technologies: Landscape of High Value Applications for the Enterprise was published just over a year ago. Since then the marketplace has been increasingly active; new products emerge and discussion about what semantics might mean for the enterprise is constant. One thing that continues to strike me is the difficulty of explaining the meaning of, applications for, and context of semantic technologies.

Browsing through the topics in this excellent blog site, http://semanticweb.com , it struck me as the proverbial case of the blind men describing an elephant. A blog, any blog, is linear. While there are tools to give a blog dimension by clustering topics or presenting related information, it is difficult to understand the full relationships of any one blog post to another. Without a photographic memory, an individual does not easily connect ideas across a multi-year domain of blog entries. Semantic technologies can facilitate that process.

Those who embrace some concept of semantics are believers that search will benefit from “semantic technologies.” What is less clear is how evangelists, developers, searchers and the average technology user can coalesce around the applications that will semantically enable enterprise search.

On the Internet content that successfully drives interest, sales, opinion and individual promotion does so through a combination of expert crafting of metadata, search engine technology that “understands” the language of the inquirer and the content that can satisfy the inquiry. Good answers are reached when questions are understood first and then the right content is selected to meet expectations.

In the enterprise, the same care must be given to metadata, search engine “meaning” analysis tools and query interpretation for successful outcomes. Magic does not happen without people behind the scenes to meet these three criteria executing linguistic curation, content enhancement and computational linguistic programming.

Three recent meeting events illustrate various states of semantic development and adoption, even as the next conference, Semantic Tech & Business Conference – Washington, D.C. on November 29 – is upon us:

Event 1 – A relatively new group, the IKS-Community funded by the EU has been supporting open source software developers since 2009. In July they held a workshop in Paris just past the mid-point of their life cycle. Attendees were primarily entrepreneurs and independent open source developers seeking pathways for their semantically “tuned” content management solutions. I was asked to suggest where opportunities and needs exist in US markets. They were an enthusiastic audience and are poised to meet the tough market realities of packaging highly sophisticated software for audiences that will rarely understand how complex the stuff “under the hood” really is. My principal charge to them was to create tools that “make it really easy” to work with vocabulary management and content metadata capture, updates, and enhancements.

Event 2. – On this side of the pond, UK firm Linguamatics hosted its user group meeting in Boston in October. Having interviewed a number of their customers last year to better understand their I2E product line, I was happy to meet people I had spoken with and see the enthusiasm of a user community vested in such complex technology. Most impressive is the respectful tone and thoughtful sharing between Linguamatics principals and their customers. They share the knowledge of how hard it is to continually improve search technology that delivers answers to semantically complex questions using highly specialized language. Content contributors and inquirers are all highly educated specialists seeking answers to questions that have never been asked before. Think about it, search engines designed to deliver results for frequently asked questions or to find content on popular topics is hard enough, but finding the answer to a brand new question is a quantum leap of difficulty in comparison.

To make matters even more complicated, answers to semantic (natural language) questions may be found in internal content, in published licensed content or some combination of both. In the latter case, only the seeker may be able to put the two together to derive or infer an answer.

Publishers of content for licensing play a convoluted game of how they will license their content to enterprises for semantic indexing in combination with internal content. The Linguamatics user community is primarily in life sciences; this is one more hurdle for them to overcome to effectively leverage the vast published repositories of biological and medical literature. Rigorous pricing may be good business strategy, but research using semantic search could make more headway with more reasonable royalties that reflect the need for collaborative use across teams and partners.

Content wants to be found and knowledge requires outlets to enable innovation to flourish. In too many cases technology is impaired by lack of business resources by buyers or arcane pricing models of sellers that hold vital information captive for a well-funded few. Semantically excellent retrieval depends on an engine’s indexing access to all contextually relevant content.

Event 3. – Leslie Owens of Forrester Research, at the Fall 2011 Enterprise Search Summit conducted a very interesting interactive session that further affirms the elephant and blind men metaphor. Leslie is a champion of metadata best practices and writes about the competencies and expertise needed to make valuable content accessible. She engaged the audience with a series of questions about its wants, needs, beliefs and plans for semantic technologies. As described in an earlier paragraph about how well semantics serves us on the Web, most of the audience puts its faith in that model but is doubtful of how or when similar benefits will accrue to enterprise search. Leslie and a couple of others made the point that a lot more work has to be done on the back-end on content in the enterprise to get these high-value outcomes.

We’ll keep making the point until more adopters of semantic technologies get serious and pay attention to content, content enhancement, expert vocabulary management and metadata. If it is automatic understanding of your content that you are seeking, the vocabulary you need is one that you build out and enhance for your enterprise’s relevance. Semantic tools need to know the special language you use to give the answers you need.

What an Analyst Needs to Do What We Do

Semantic Software Technologies: Landscape of High Value Applications for the Enterprise is now posted for you to download for free; please do so. The topic is one I’ve followed for many years and was convinced that the information about it needed to be captured in a single study as the number of players and technologies had expanded beyond my capacity for mental organization.

As a librarian, it was useful to employ a genre of publications known as “bibliography of bibliographies” on any given topic when starting a research project. As an analyst, gathering the baskets of emails, reports, and publications on the industry I follow, serves a similar purpose. Without a filtering and sifting of all this content, it had become overwhelming to understand and comment on the individual components in the semantic landscape.

Relating to the process of report development, it is important for readers to understand how analysts do research and review products and companies. Our first goal is to avoid bias toward one vendor or another. Finding users of products and understanding the basis for their use and experiences is paramount in the research and discovery process. With software as complex as semantic applications, we do not have the luxury of routine hands-on experience, testing real applications of dozens of products for comparison.

The most desirable contacts for learning about any product are customers with direct experience using the application. Sometimes we gain access to customers through vendor introductions but we also try very hard to get users to speak to us through surveys and interviews, often anonymously so that they do not jeopardize their relationship with a vendor. We want these discussions to be frank.

To get a complete picture of any product, I go through numerous iterations of looking at a company through its own printed and online information, published independent reviews and analysis, customer comments and direct interviews with employees, users, former users, etc. Finally, I like to share what I have learned with vendors themselves to validate conclusions and give them an opportunity to correct facts or clarify product usage and market positioning.

One of the most rewarding, interesting and productive aspects of research in a relatively young industry like semantic technologies is having direct access to innovators and seminal thinkers. Communicating with pioneers of new software who are seeking the best way to package, deploy and commercialize their offerings is exciting. There are many more potential products than those that actually find commercial success, but the process for getting from idea to buyer adoption is always a story worth hearing and from which to learn.

I receive direct and indirect comments from readers about this blog. What I don’t see enough of is posted commentary about the content. Perhaps you don’t want to share your thoughts publicly but any experiences or ideas that you want to share with me are welcomed. You’ll find my direct email contact information through Gilbane.com and you can reach me on Twitter at lwmtech. My research depends on getting input from all types of users and developers of content software applications, so, please raise your hand and comment or volunteer to talk.

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