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data modeling

06.01.09
Data Rationalization - The Next Step in Semantic Resolution

With the Web 2.0, ontologies are being used to improve search capabilities and make inferences for improved human or computer reasoning. By relating terms in an ontology, the user doesn’t need to know the exact term actually stored in the document. Data Rationalization is a Managed Meta Data Environment (MME) enabled application which creates/extends an ontology for a domain into the structured data world, based on model objects stored in various models (of varying levels of detail, across model files and modeling tools) and other meta data.

06.01.09
Semantic Technology and Master Data Management

Master Data Management is now mainstream and those of us who have practiced it for a few years are battered, bruised and wearily displaying our scars. Typically defined as the people, processes and systems that govern the core data (e.g. products, customers, suppliers) needed to run a business, Master Data Management (or MDM) requires painstaking work in three broad areas: data standardization, architecture, and governance:

04.01.09
Semantically Controlled Any-to-Any Data Structure Reshaping
Executive Summary

Today the data structure transformation terminology of Restructuring and Reshaping are used interchangeably for XML structure transformation processes. There are two basic types of XML hierarchical data structure transformations that need to be distinguished because they are different in meaning, results, and use. These are restructuring controlled by existing relationships in the data, and reshaping controlled by the semantics of the current data structure. Restructuring is performed by using new and unused relationships to restructure the data. On the other hand, reshaping uses the semantics of the current structure to mold the structure into any other shape without requiring or relying on any data relationships in the data. The processing follows correct hierarchical semantics principles to derive correct hierarchical results.

02.03.09
SeMuSe the Future of Semantic Museum Data
Executive Summary

SeMuSe is an open and collaborative community based project to work on a Semantic Museum vision, and provides a forum for discussion of the future of applied cultural and natural heritage data management. Members of SeMuSe can greatly benefit from advancements made in the Semantic Technology community. The goal of SeMuSe is to help organizations and practitioners to introduce Semantic Technologies and concepts to cultural and natural heritage data management efforts and to capitalize on the results of more than a decade of Semantic Technology research. Emerging technology standards like RDF, RDFS and OWL and domain specific vocabularies such as museumdat and the CIDOC CRM ontology specification are a marriage made in Semantic Technology heaven, allowing to lead semantic cultural and natural heritage data management to its full potential - SeMuSe.