Introduction to visual rules modeling
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This document discusses modeling rules using visual languages. It introduces vocabularies to represent concepts like customers and shopping carts. Rules are presented using if-then syntax to describe discounts based on customer type. UML class diagrams and RDFS/OWL are compared for representing vocabularies. Rules should be modeled to avoid ambiguity, and rule languages like Drools are suggested for encoding rules formally. The document asks questions to check the reader's knowledge of rule modeling and applications.
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![Rules in "real life" ,[object Object],[object Object],[object Object],Adrian Giurca, eBusiness Technologies, Craiova, March 2009](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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An intelligent mashup uses artificial intelligence techniques like rule-based reasoning to combine web services and applications. This allows implementing functionality like delivering similar news to a user who reads about swine flu. Rule-based mashups can be done client-side in the browser using event-condition-action rules to derive knowledge from user activity. Benefits include easy modeling of relationships, intelligent user interfaces, and reduced network traffic through local reasoning, while drawbacks include needing skilled developers for server-side options and consuming client resources.
JSON Rules Language
The document discusses JSON Rules, a rule language for the web browser:
1. JSON Rules allows defining event-condition-action rules that can run in the browser and address information on web pages.
2. Rules are represented using JSON notation for compatibility with JavaScript. Events can be DOM events or custom events, conditions can use JavaScript, XPath, or built-in predicates, and actions can be any JavaScript function call.
3. The document outlines the goals and requirements of JSON Rules, provides examples of rule syntax including events, conditions, and actions, and proposes a roadmap for the development of a JSON Rules engine and its applications.
Introduction to Drools
This document provides an introduction to Drools, an open source Java-based rule engine. It discusses embedding rules in applications, designing rule-based applications based on existing domain vocabularies, and the basic structure and components of rulesets in Drools, including imports, globals, functions, and the condition and action parts of rules. It also covers more advanced pattern types such as "from" and "accumulate" that allow reasoning over data from other sources.
Semantic Pipes and Semantic Mashups
Semantic pipes aggregate data from multiple sources to create new data sources, similar to Yahoo! Pipes. Semantic pipes operate on RDF data sources using SPARQL queries. DERI Pipes is a tool for building semantic pipes that defines blocks for processing RDF and other data sources. Semantic mashups may have additional reasoning capabilities beyond basic data aggregation, using semantic web reasoners. They implement behavior through SPARQL queries over RDF data. Examples include mashups over Flickr, book data, and scholarly references.
Annotating with RDFa
The document discusses RDFa, which allows adding semantic annotations to web documents. RDFa uses additional attributes to embed RDF triples directly in HTML/XHTML pages. This enables computers to extract structured data from the documents. Examples shown include annotating a person's name, address, an image's title and creator, and embedding a Creative Commons license. RDFa triples follow the form of a subject, property and object, reusing terms from vocabularies like FOAF and Dublin Core.
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Introduction to visual rules modeling
- 1. eBusiness Technologies (ebTech) Introduction to visual rules modeling Adrian Giurca, eBusiness Technologies, Craiova, March 2009 Dr. Adrian Giurca Brandenburg University of Technology Cottbus, Germany
- 8. Vocabularies and rules Adrian Giurca, eBusiness Technologies, Craiova, March 2009 Rule: If rental car is stored at the branch and rental car is not assigned to any rental and it is not a rental car scheduled for service then rental car is available at the branch.
- 11. Derived Association Rule Example Adrian Giurca, eBusiness Technologies, Craiova, March 2009
- 13. Do you like rule-based applications? Adrian Giurca, eBusiness Technologies, Craiova, March 2009 Tower of Babel - Pieter Bruegel (1563)