BestTechVideos: Tag RDF Videos

Currently, one of the most practical application spaces for Semantic Web technologies is creating an ontological layer over existing legacy databases. Such layering allows flexible applications to be built without the cost of restructuring large amounts of data while maintaining the performance advantages of a relational database. Whereas applications designed to directly query a database encode business logic in specific queries, ontological layer offers a flexible framework whereby dynamically generated queries are resilient to schema changes. This same approach can be used to query multiple decentralized databases from a seemingly centralized point of view, allowing access to multiple database schemas via a single interface. In an ontology, Semantic Web technologies such as RDFS, OWL and SWRL can be used to specify composition rules and abstractions, making it possible to answer complex questions without developing complex queries. TopQuadrant has applied this approach to develop and deploy a flexible faceted search system over a network of large, decentralized legacy databases. The system uses ontologies in two distinct ways: as an abstraction layer over an underlying relational data model; and as a search interface model driving the system itself. This model-based approach allows dynamic system configuration simply through changes to the model. The model controls what data can be searched, what facets can be used for building queries, and even how data should be displayed.

The system combines the structured power of ontologies with more conventional keyword-based search over a related unstructured document corpus. The resulting hybrid system provides capabilities beyond what is possible with either approach alone. This talk will describe the process used for developing the ontological layer; discuss challenges and technical solutions in integrating the databases and bringing together structured and unstructured search. We will also show the benefits of using ontology to specify the search interface and interaction.

Author: Ralph Hodgson, Top Quadrant

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Lecture slides:

• Ontologies, Semantic Web and Virtual Enterprises
• Agenda
• Agenda - Motivation
• Motivation
• Agenda - Ontologies
• Ontology
• Formality of Ontology
• Description Logics
• Agenda - Semantic Web
• Semantic Web
• RDF
• RDF Serialization
• RDFS
• OWL
• OWL as RDF graph
• OWL Reasoning Examples
• SPARQL
• Agenda - Selected Applications - Semantic Search
• Semantic Search
• Web versus Enterprise
• Semantic Search: Example
• Semantic Search
• Agenda - Selected Applications - Semantic Integration
• Semantic Integration
• Communication
• “Berlin” Ontology
• “Boeing” Ontology
• Translation
• Ontology Service
• Translation – Architecture
• Agenda - Selected Applications - Semantic Web Services
• Services
• Semantic Web Services
• OWL-S
• OWL-S Matchmaking
• Semantic Web Services
• Agenda - Summary
• Summary
• Some references and further reading
• Thanks for your attention

Author: Marek Obitko, Rockwell Automation

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Starting with an overview of the requirements for defining and using ontologies on the Web Sean will then outline the main concepts and issues associated with the Web ontology languaages, RDF, RDFS and OWL. By the end of this presentation attendees will have gained a basic understanding of the principles underlying OWL.

Author: Sean Bechhofer, University Of Manchester

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Lecture slides:

• Extending faceted navigation for RDF data
• Summary
• Outline
• Faceted browsing example: iTunes
• Faceted browsing: limitations
• Faceted browsing on the Semantic Web
• Selection operators
• Inverse operators
• Outline
• Interface construction algorithm
• Facet browsing: decision tree
• Facet ranking: optimising decision tree traversal
• Outline
• Prototype: choose FBI dataset
• Prototype: interested in terrorists
• Prototype: filter by facets
• Prototype: see matching results
• Evaluation
• Challenges
• Summary

Author: Eyal Oren, Network Institute, Vu University Amsterdam

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Lecture slides:

• Fresnel: A Browser-Independent Presentation Vocabulary for RDF
• Semantic Web Browsers and other RDF Visualization Tools
• Applications with different goals and approaches . . .
• . . . but faced with the same core issues
• Fresnel : a presentation vocabulary for RDF
• Outline
• Fresnel’s Foundational Concepts
• Core Lens Vocabulary - Content Selection and Ordering
• Code example
• Core Formatting Vocabulary
• Example
• Selector Languages
• Example : browsing Geonames + FOAF data
• Extension Vocabularies
• Example of extension vocabulary : Fresnel2D
• An open, community-based effort

Author: Emmanuel Pietriga, Inria

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The Semantic Web has reached a level of maturity that allows RDF and OWL to be adopted by large commercial software companies. Many of the products that are based on these standards promise the ability to provide more effective solutions to the increasing IT complexity that many industries are facing. This presentation will describe Oracle's interest in being an early adopter of Semantic Web technologies, as well as providing a technical overview of the RDF Data Model in the latest release of the Oracle Database. Experiences gained from implementing Semantic Web technologies will also be provided.

Author: Susie Stephens, Oracle

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Biomedical research and healthcare clinical transactions are generating huge volumes of information. Biomedical research literature doubles every 19 years and AIDS literature in particular doubles every 22 months. Biomedical research is now an information-based science marked by factory-scale sequencing generating huge amounts of data. A clinician, on the other hand, needs approximately 2 million facts to practice. There is a critical need to speed "translation" of genomic research insights into clinical research and practice and vice versa. In this talk, we will discuss the challenges faced by a healthcare enterprise in realizing the vision of Translational Medicine. In this talk, we will discuss some of these challenges, such as:

• The need to create structured and semantic representations of genotypic and phenotypic data such as orders, observations, molecular diagnostic test results, etc.
• The need for as-needed data and information integration achieved in an incremental and cost-efficient manner.
• The need for actionable decision support for suggesting molecular diagnostic tests in response to phenotypic information and therapies in response to genotypic test results.
• The need for knowledge update, propagation and consistency to keep abreast of the rapid pace of knowledge discovery being witnessed in the life sciences, a crucial pre-requisite to reduce the cost of knowledge acquisition and maintenance.

There is a need and applicability of semantic web-based specifications and technologies to address the above challenges. We will present semantics-based approaches to address the challenges enumerated above. The role and applicability of various semantic web standards (such as RDF and OWL) in the proposed solutions will also be discussed .

Author: Vipul Kashyap, Partners Healthcare System

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Summary
Top rubyist Rich Kilmer gives InfoQ visitors an eye-opening look into his years of success using Ruby to tackle tough defense-related challenges at Darpa. Our interview covers a wide range of cutting-edge technologies from DSLs to Semantic Web technologies such as OWL, to using Flash as a front-end UI framework.

Bio
Rich Kilmer is the founder of Virginia-based software and services company InfoEther, Inc. His background includes peer-to-peer software, wireless web, workflow, and pen computing. His current projects make production use of Ruby on several DARPA research projects. He is an active member of the Ruby development community working on Alph, FreeRIDE, RubyGems, RubyJDWP and hosts RubyForge.org.

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