Saturday, September 29, 2007

Cataloging & Classification Quarterly

CCQ vol. 43, no. 3/4: "Foucault’s The Birth of the Clinic serves as a pattern for understanding the paradigm shifts represented by the Semantic Web. Foucault presents the history of medical practice as a 3-stage sequence of transitions: from classificatory techniques to clinical strategies, and then to anatomico-pathological strategies. In this paper, the author removes these three stages both from their medical context and from Foucault’s historical sequence, to produce a model for understanding information organization in the context of the Semantic Web. We can extract from Foucault’s theory a triadic relationship between three interpretive strategies, all of them defined by their different relationships to a textual body: classification, description and analysis."

Tuesday, September 25, 2007

Ontologies in OWL for Rapid Enterprise Integration

Ontologies in OWL for Rapid Enterprise Integration
"Ontologies enable explicit expression of collective concepts and support Machine-to-Machine (M2M) interactions at the semantic level. Ontologies expressed in a standard language, such as the Web Ontology Language (OWL) and exposed on a network offer the potential for unprecedented interoperability solutions since they are semantically rich, computer interpretable and inherently extensible. In this paper, we describe how we applied ontologies in OWL for rapid enterprise integration of heterogeneous data sources. We found that once a robust foundational domain ontology is established, it is easy and quick to integrate new data sources and therefore rapidly provide new system capabilities."

Saturday, September 22, 2007

Microformats: Toward a Semantic Web

Microformats: Toward a Semantic Web: "Though the term 'microformats' may not yet be mainstream, mainstream vendors have taken notice. Big names like Technorati, Mozilla, IBM, Microsoft, Google, Digg, and Yahoo among countless others are all at work trying to make microformats work. By some estimates there are already hundreds of millions of microformatted pieces of information online."

Wednesday, September 19, 2007

How Practical Are Product Definition Ontologies? - Part One (Product Value Management)

How Practical Are Product Definition Ontologies? - Part One (Product Value Management): "Recently, much has been done in conceptualizing various advanced constructs to enable at least targeted subsets of the product definition reconciliation scope prescribed by the '12-Fold Way' framework. Shared representations have been developed for generic physical architectures reconciling 3D part designs with configurable engineering BOM-s. Also, generic feature architectures have been deployed to reconcile definable sales configurations with pick to order and assemble to order manufacturing BOM-s. While these advances solve particular product definition reconciliation problems, they can be implemented in a variety of information management architectural approaches. Two conceptual approaches come to mind: meta-schema mappings and ontologies."

How Practical Are Product Definition Ontologies? - Part Two (Product Value Management)

How Practical Are Product Definition Ontologies? - Part Two (Product Value Management): "In the previous blog (How Practical Are Product Definition Ontologies? - Part One), I tried to outline (by a very broad brush stroke) two basic approaches to managing shared product definition representations. I compared them based on some rudimentary criteria to conclude that ontology based approach offers more benefits in a complex product manufacturing environment. We are naturally more familiar with the meta-schema mapping approach, because it is conceptually just an extension of more mature documented database management techniques. Relational databases have been around for over fifty years, still maturing at a significant rate in areas of interoperability, information aggregation and data exchange. However, robust technical solutions based on ontologies are relatively new, although conceptually drawing on many years of advanced research in areas of semantic webs and taxonomy of complex systems. In this part, I will review basic technical aspects of managing product definition with an ontology based solution. In the next part (Part Three), I will discuss various guidelines and recommendations for successful planning and implementation of such a solution."

How Practical are Product Definition Ontologies? - Part Three (Product Value Management)

How Practical are Product Definition Ontologies? - Part Three (Product Value Management): "If you decide to pursue an ontology based solution to your product definition management, governance of such a solution becomes critical for two basic reasons:

1. Ontology is managed by a community of architects in a federated manner. These architects will need to know how to get benefits from the ontology for their own data reconciliation needs and how to use the ontology to maintain semantic convergence as strong as possible.

2. Integrity of data reconciled by the ontology depends on policies that are flexible in design, yet strictly administered for all registered users and data exchange protocols. That way, run time execution of various read and write calls between systems and users follows best possible choices between all authors and consumers of information."

Saturday, September 15, 2007

SemanticReport.com - About Us

SemanticReport.com - About Us: "SemanticReport is published by Semantic Universe, a subsidiary of Wilshire Conferences and the Semantic Technology Conference, the leading educational conference on the commercial application of semantic technologies. The SemanticReport newsletter and web site bring you the same high quality editorial content you are accustomed to receiving through our educational conferences.

SemanticReport is produced with the cooperation and contributions of numerous industry participants, including technical experts, consulting organizations, product vendors, customer organizations, academicians and researchers. If you would like to contribute to the content or improvement of the publication, please feel free to contact Scott Koegler, the publisher at scott@semanticreport.comThis e-mail address is being protected from spam bots, you need JavaScript enabled to view it "

How Semantic Technology Fits Into the Enterprise

How Semantic Technology Fits Into the Enterprise: "Semantic web is a very promising technology that has suffered a lack of pragmatic focus. It was born in the World Wide Web Consortium (W3C) in the aftermath of HTML's success, and with XML starting on an impressive trajectory. But it was positioned either as a form of search engine enhancement -- which struggled for relevance against the Google approach of building gigantic indexes -- or as an artificial intelligence system working on the scale of the Web, which set a large barrier to credibility. One area where semantic web technology could show more ready promise is as a component of enterprise data architecture, but there has been precious little discussion and work in this area."

Friday, September 07, 2007

Entity Describer for Connotea, 09/07/07

Connotea: Community Pages: EntityDescriber: "E.D. is a mechanism for intersecting the Semantic Web with the normal Web. It lets Connotea users (though we may extend it to other systems such as Del.icio.us) annotate (tag) resources on the Web with terms from existing controlled vocabularies such as MeSH, the Gene Ontology, the Atom ontology, and the Person ontology. For more thoughts on and progress with ED, see blog posts about ED.

You might enjoy using ED if any of the following apply to you:
  • You would like to organize your tags more effectively
  • You are using Connotea to create a reference system - for example for a class
  • You are a member of a group of people that would like to use a common set of tags - possibly with the aim of creating a nice reference library.
  • You like the idea that every time you tag something you are contributing to the semantic web
  • You would like to utilize queries over your collection and others that take advantage of the structure of ontologies. For example, queries for 'brain', that return resources tagged with 'hippocampus', 'cortex', 'cerebellum', etc..
  • You would like to help an aging graduate student add one more chapter to his thesis... "