Ontologies

Submited by searley on
September 18, 2012 - 8:53 GMT

The single most prevalent factor in business across sectors is the increasing speed of knowledge and information processes.  The difference between organizations 10 years ago and today is the ability to consume and produce information and transact business faster, more efficiently and effectively.  You could say that we’ve increased the “clock speed” of innovation by speeding up the “information metabolism” of the enterprise and of society as a whole.

Submited by rwalker on
August 30, 2012 - 12:41 GMT

Sometimes massive intersections happen in business.  New technologies -- create new cultures.  And new cultures -- create disruption and opportunities.  And, so, new paradigms emerge.  So it is with big data meeting the global network of social networks.  But first, let’s tip-toe into this big theme.

Submited by johnh on
August 22, 2011 - 3:52 GMT

The heart of Web 3.0 is semantics.  Semantics focuses on what one means to say, not just what one actually says.  Semantics is the difference between salient search results and an unfocused aggregation of … stuff.  Algorithms used by search engines are an effort to discern the meaning and rank relevance against users short, ambiguous, approximation of intent expressed in their search queries.  Web 3.0 semantics represents a significant advance over current search technologies because it attempts to look at meaning inherent in the content itself

To understand how this works and the role taxonomy plays in this search for meaning a little review maybe helpful.  Taxonomy categorizes information into a unified structure and controls the language to describe those categories.  Under this definition, the contributions of taxonomy are labeling, designing content, providing navigation patterns, and managing the relationship among content units.  These roles for taxonomy are essential to successful site development, especially as sites are increasingly dynamic, drawing content directly out of content management systems, and increasingly socialized to the point that systems rooted in databases are no longer able to scale to meet the storage demands.

Taxonomy is an integral part of a content producer's tools kit for adding metadata to their site.  Metadata presents an interpretive model for understanding content data, or the types of data actually evaluated by search engine algorithms.

Submited by rwalker on
June 15, 2011 - 11:02 GMT

I spent a couple of days recently at the Semantic Technology 2011 conference in San Francisco.  A number of different themes and implementations struck a chord with me – and I could overview these all together at length.  But for now I will focus on two particular implementations that showcase both success, for all of us to learn from, and themes/directions, for information management professionals to pay heed to.  These two themes, in my view of this conference, are: Ontology is the New Taxonomy and Managing Vocabulary to Build Semantics-Based Knowledge Experiences.

In this post I want to begin a discussion on the first--using semantic technology to build ontology-based websites--by telling the story of the BBC (British Broadcasting Corporation) World Cup Website.  Quite apart from it being a landmark achievement, there are also huge implications for those who build taxonomies – since taxonomies as we currently know them (“flat” hierarchies, faceted or not) are likely going to play a more minor role in the emerging semantic web world.  

This presentation by John O’Donovan (now at the Press Association, but then chief architect of BBC News and Sport Interactive) of the work at the BBC was the first that strongly resonated with me.

Briefly stated, The BBC's World Cup web site was almost certainly the biggest (at its time) pure-play implementation of semantic web technologies on a commercial media site.  Or … as one pundit put it …if there was a World Cup for the Semantic Web, then the BBC may have lifted the trophy for its country.”  There you go … Brit humor in action.  If you can’t excel at the sport …  then at least you can excel at something else.  I, being British, love it. :-)

Submited by searley@earley.com on
November 02, 2010 - 9:15 GMT

In an earlier blog, I introduced the term eTaxonomy.   ETaxonomy represents “embedded taxonomies”.  Many kinds of IT solutions rely on taxonomy as a core organizing principle (reference data, content object models, information architecture, metadata schemas, etc)  as opposed to simply being a navigational construct.   In this blog, I discuss applications of eTaxonomy from our recent client work.  Of note are:

  • Search
  • Document and Records Management
  • Content Management
  • Digital Asset Management
  • Ecommerce
  • Marketing Campaign Management

Search                           

Search is about metadata.  A search application “derives” metadata by creating an index of the content.  The index is information about the content, i.e. metadata. The search tool uses the index to locate documents and pages.  This “derived metadata” can be enriched by adding attributes or keywords with terms defined in a taxonomy.  Taxonomy provides a hierarchical structure of controlled vocabulary terms.   With this structure, search-enabled applications can present related concepts, broaden or narrow the search, and filter results based on “facets” or attributes.  The use of related terms (developed with a “thesaurus” – taxonomy on steroids) provides tremendous power in search applications.

Document and Records Management

Submited by hhedden on
March 05, 2010 - 6:41 GMT

Taxonomy consultants, such as those at Earley & Associates, may be the ones who develop a taxonomy for an organization, but the organization's own staff will ultimately be responsible for maintaining it, so the question arises what tool or tools should be used the maintain that taxonomy and perhaps further develop it. A taxonomy may be implemented in a CMS, in SharePoint, or with search (Google Search Appliance, FAST, etc.), but these systems do not have taxonomy management components.

An interest in taxonomy tools was evident by the number of chat-based questions that my colleague Seth Maislin and I received from participants in this week’s Taxonomy Community of Practice Call, Cross-Mapping Taxonomies, which we jointly presented. There is a need for tools that do more than merely enabling manual adding and deleting of terms. Mapping two taxonomies is something that only a few tools support, but there are many other day-to-day taxonomy management activities that also require specialized taxonomy management software.

This week several Earley & Associates consultants, including myself, participated in a special training on Smartlogic Ontology Manager, a good example of full-featured taxonomy management software. The question arises:  is this taxonomy management or ontology management software?

If we look at competing software products, we see various designations:

Submited by searley on
August 11, 2008 - 6:37 GMT

There are three different types of relationships in taxonomies: 

  • Equivalent (Synonyms: "International Business Machines = IBM")
  • Hierarchical (Parent/Child : "Computer Manufacturers => IBM")
  • Associative (Concept/Concept: "Software Group - Software")

Heather Hedden's presentation on taxonomy powered discovery for a recent Boston KM Forum contained an interesting set of examples for how to organize the last type of conceptually related term sets.

  • Process and agent: Programming - Programmers
  • Process and instrument: Skiing - Skis
  • Process and counter-agent: Infections - Antibiotics
  • Action and property: Environmental cleanup - Pollution
  • Action and target: Auto repair - Automobiles
  • Cause and effect: Hurricanes - Flooding
  • Object and property: Plastics - Elasticity
  • Raw material and product: Timber - Wood products
  • Discipline and practitioner: Physics - Physicists
  • Discipline and object: Literature - Books