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A List Apart
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City of Sound
Croc o' Lyle
Digital Web Magazine
Dive Into Mark
Guide to ease
Joel on Software
Noise Between Stations
Off the top
Signal vs. Noise
Todd has got a nice mix of enterprise metadata from both theory and practice since he did his dissertation at the same as working at Bell South on real enterprise metadata needs. He has presented at several conferences involving both the more techie stuff at DAMA International as well as Dublin Core and other related conferences. I believe this intesection of the techie/practical world and the theory/academic world gives us a good mix of the challenges we face at managing information systems. He's definitely in the mix of things I'd like to be involved. It will be interesting to see where his blog goes in sharing his experiences. Many of his previous presentations and handouts are also available on his site.
Not all metadata are created equal as I learned last year when I attended the Wilshire Metadata & DAMA International Conference in Orlando, FL. However, when I sat in their meetings and learned this new aspect of metadata I discovered that there are some similarlities of concern, basically information organization, management, access, and retrievable.
If you come from the database modeling/administration world, I hear this is their equivalent to the IA Summit or CHI. The 2004 just concluded in Los Angeles. Their trip report is very informative, with enough information to get you to dig into new ways of thinking about information management.
This article by CW Holsapple and KD Joshi describes an ontology for knowledge management. The abstract below is taken from the JASIST TOC for Journal of the American Society for Information Science and Technology V55, 7, MAY, 2004, p593-612.
This article describes a collaboratively engineered general-purpose knowledge management (KM) ontology that can be used by practitioners, researchers, and educators. The ontology is formally characterized in terms of nearly one hundred definitions and axioms that evolved from a Delphi-like process involving a diverse panel of over 30 KM practitioners and researchers. The ontology identifies and relates knowledge manipulation activities that an entity (e.g., an organization) can perform to operate on knowledge resources. It introduces a taxonomy for these resources, which indicates classes of knowledge that may be stored, embedded, and/or represented in an entity. It recognizes factors that influence the conduct of KM both within and across KM episodes. The Delphi panelists judge the ontology favorably overall: its ability to unify KM concepts, its comprehensiveness, and utility. Moreover, various implications of the ontology for the KM field are examined as indicators of its utility for practitioners, educators, and researchers.
Lars Garshol, Development Manager at Ontopia posted a fantastic article on the relationships between different classification tools - topic maps, ontologies, taxonomies, and more. Well worth the read, since it's a clear explanation that separates similar concepts that too often get muddled.
The Dublin Core 2003 Conference is currently going on in Seattle this week. A couple of the attendees and I will be sharing our notes(and photos) when we've recovered(it's actually still going on). But until then, enjoy the conference proceedings online.
Kendall Grant Clark gives an overview of what's to come on the Web.
From the World Wide Web Consortium home page:
The Web Ontology Working
Group has released XML Presentation Syntax for the OWL Web Ontology Language (OWL) as a W3C Note. The Note suggests one possible XML presentation syntax and includes XML schemas for OWL Lite, OWL DL, and OWL Full.
• Read the XML Presentation Syntax note
• Find out more about Web ontologies
Just came back from a conference on data management(Wilshire Metadata/DAMA International 2003 Conference. A recurring topic that surfaced about data management was the relevance of their work in relation to unstructured information. A reality check for everyone was that most corporate information actually existed in semi-structured of unstructured information and not in databases. From this thought, I was directed to DM Review and in particular this article. Digging Into the Web: XML, Meta Data and Other Paths to Unstructured Data - By Robert Blumberg and Shaku Atre. I definitely see an opportunity between IA(metadata/ux) type folks cross-pollinating with data modelers and data managers. It will be interesting to see and I look forward to hearing more from here. Thoughts?
From Boxes and Arrows: Building a Metadata-Based Website - The online world has been flooded in recent years with talk of metadata, structured authoring, and cascading style sheets. The idea of a semantic web is gaining momentum. At the confluence of these two broad categories of activity, new models of websites are emerging.
Brett Lider's talk at the Summit was great - now folks who couldn't make it can see the early horizon for next-generation CMS.
Matt Webb points to this great paper describing 6 different types of semantic networks. Applicable to the ontologists among us, semantic networks also make great diagram fodder. Not sure what a semantic network is?
A semantic network or net is a graphic notation for representing knowledge in patterns of interconnected nodes and arcs. Computer implementations of semantic networks were first developed for artificial intelligence and machine translation, but earlier versions have long been used in philosophy, psychology, and linguistics.
What is common to all semantic networks is a declarative graphic representation that can be used either to represent knowledge or to support automated systems for reasoning about knowledge.
OntoLog is a tool for annotating (describing and indexing) video and audio using ontologies - structured sets of terms or concepts. It used RDF and the Dublin Core. This is a PH. D. project by Jon Heggland. He is looking for testers and users.
For OntoLog and my doctoral degree to be a success, I need the ideas, requirements, critique and feedback of (potential) OntoLog users. OntoLog, though usable and useful, is not finished - there are lots of things I want to do. But I want to anchor the capabilities of OntoLog in the real world
Obvious applications in looking at video/audio from ethnographic observation, contextual interviews, or usability testing.
This site was recommended by a fellow engineer at work. It's basically the support/info site for the O'Reilly Book Practical RDF by Shelley Powers et al. They have chapter samples online and it's an interesting practical perspective in applying RDF. Many other resources are mentioned that supplement the book's offerings.
Ideagraph is a "Personal Knowledge Manager" that is in early beta. It is intended to eventually be a commercial product, but is currently free to download.