Bindings, Platforms, and Innovation
This presentation focuses on the Internet and separating myth from fact, history from the future, and the mundane from the imaginative. Bob Frankston presents a vision of what could and should be.
Tracking change and innovation in the enterprise software development community
Posted by Steven Robbins on Apr 30, 2008 10:30 PM
Ontologies and Ontological management have become more popular as enterprise architecture has gained ground among organizations. As tool support has become more available and the concepts of semantics and ontologies are being understood, there are more players that have come to the table with contributions. The AKSW group recently released their Triplify product to provide "a building block for the 'semantification' of the web." The UMBEL backbone project has started up to provide a lightweight subject structure for the Web. Dan McCreary talked about some of the main pitfalls in developing and maintaining enterprise ontologies.a distinct subset of the more broadly understood concept such as used in the SKOS RDFS controlled vocabulary or formal concept analysis or the very general concepts common to some upper ontologies. Subject concepts are a special kind of concept: ones that are concrete, subject-related and non-abstract. We further contrast these with named entities, which are the real things or instances in the world that are members of these subject concept classes.The main thrust of the project is to help provide "meta-maps" of the relationships between the immense number of fine-grainied, local ontological and concept maps. Michael K. Bergman provided a look at what the web's subject backbone might look like as well as a slideshow describing the UMBEL online demos and the project's first 11 semantic web services.
It is too intimidating. It puts too many people off. They think they are paying for AI research. Sometime we just have to pick a more friendly name. Just call it a metadata registry and you my get better adoption. Many people that work with database developers just end up calling it a logical data model or and enterprise data dictionary. XML types like to call it an XML Schema type library. Whatever the audience...pick a term that makes them feel comfortable and then focus on the pain points of the organzation. I only tell about 25% of my customers I am building ontologies.Once an organization gets started on defining and maintaining their ontologies, it needs to be managed and run across the enterprise. Dan said that it is not just a high-level effort but that it needs to extend all the way through the organization.
An upper ontology is pretty much useless by itself. They solve no real business problems by themselves. It is only when you get to the leaf level elements that you can start mapping to columns in databases. That is where the rubber meets the road.Once adoption of ontologies has begun in an organization, McCreary's list of ten pitfalls should be heeded:
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