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SPIN: An object-oriented framework for business rules using SPARQL – SemTech 2009 Video

By   /  July 10, 2009  /  Data Education, Smart Data News, Articles, & Education  /  No Comments

Holger Knublauch
Vice President

The current generation of Semantic Web languages is well suited to link data and to define domain concepts and relationships. However, real-world applications that operate on those linked data models typically need higher expressivity than what is provided by OWL and RDF Schema alone. SPIN is an open-source framework that supports the use of SPARQL to define business rules and constraint checks on Semantic Web models with object-oriented modeling techniques. This simple yet powerful mechanism makes it possible to define self-describing domain models that can then be used by generic software components such as user interface renderers, schema mappers and workflow engines. Instead of hard-coding behavior in languages like Java, SPIN makes it possible to declaratively define complex business rules and processes. SPIN can also be used to define new higher-level modeling languages with built-in semantics.

This talk:

  • Sets the stage with a quick review of SPARQL (incl. CONSTRUCT keyword)
  • Introduces SPIN as a mechanism to attach SPARQL queries to class definitions
  • Shows how to define new SPARQL functions and reusable query templates with SPIN
  • Demonstrates the use of SPIN for tasks ranging from unit conversion to computer games
  • Shows how the ideas of SPIN give rise to a new software development paradigm around self-describing linked data models
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SQE – Semantic Query Expansion as Search Process Booster

By   /  January 20, 2009  /  Data Articles | Data Science, Business Intelligence, & More  /  No Comments

Executive Summary

Today, one of the biggest challenges in web technologies is information retrieval in digital resource repositories such as digital libraries and the Internet. To cope with this information growth, existing search methods will need to be enhanced to continue an acceptable level of relevancy and efficiency in the results returned. In this paper two search methods are compared: fulltext search and search enriched with a query reformulation based on semantic technologies. Both of these are implemented in a search module – SQE Semantic Query Expansion.

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