The S Curve

I will be speaking at SemTech 2010 - June 21-25 in San Francisco

A Jena-based Framework for Semantic Enterprise Information Integration (SEII)

EII (Enterprise Information Integration) and MDM (Master Data Management) have been the leading strategies in large enterprises for data integration across business functions. Initiatives driven by these strategies have been deployed successfully and proven effective in providing data consistency to business units as well as reducing costs of data maintenance. They also provide powerful analytics and business intelligence capabilities.

Semantic web technologies can offer a powerful complement to EII. Through the implementation of application-specific, collaboration and process ontologies, integration transcends from application data to the semantics of that data. Repositories may be central or federated across the enterprise - but they still provide a unified view of information. This level of semantic information integration may be tool or application-agnostic, domain-specific and easy to implement via a supporting framework.

This presentation discusses a Jena-based architecture for semantic enterprise information integration. This architecture has been implemented to integrate collaboration and tools within software engineering. It is also equally applicable in other areas. The resulting semantic information network can provide unique dashboards to decision makers.

In this session, we will address the following:

• EII versus Semantic EII (SEII)
• Role of ontologies and metamodels in SEII
• A framework for SEII based upon Jena
• Proposed connector architecture for integrating applications and tools
• Demo

 

I will be speaking at SemTech 2010 - June 21-25 in San Francisco

Orthopaedia - A Semantic Platform for Collaborative Knowledgebase Development in Orthopaedics

Semantic technologies have been aggressively applied in biomedical and healthcare domains to address a number of problems related to the representation, interpretation, integration and access of knowledge. These technologies include the development of machine readable thesauri and vocabularies, taxonomies, formal ontologies as well as NLP tools and techniques. And of course, there are emerging applications that are being developed to deal with these underlying metamodels.  

This case study discusses a semantic platform that incorporates these technologies and metamodels towards the collaborative development of a knowledgebase in Orthopaedics. The platform enables users to easily enhance local content with publications from various sources, blogs, discussions, annotations, and automatically tag them with domain-specific terms, as well as make this information accessible across the enterprise to other tools and applications via a semantic repository.

We will also describe the current challenges in achieving coherency and integration across medical subdomains, and describe some the design decisions taken to overcome some of these challenges.

We will address the following points:

• Overview of semantic technologies in healthcare
• Challenges in semantic information integration across resources and applications
• Objectives of the project
• Discussion of technologies implemented
• Review of strengths and weaknesses of the current state of technologies in addressing knowledge management issues in healthcare
• Demo