Videos tagged with Ontologies
Lecture slides: WP 2: Learning Web-service Domain Ontologies Outline of the Presentation Learning Web-service Ontologies Application Mining GATE Case Study Data Sources A Typical Java Class Creating a Document Network GATE Comment Reference Network Transforming Networks into Feature Vectors Combining Feature Vectors LATINO & OntoGen Demo OntoGen Demo Dassault Case Study: Inclusion Dependenc...
Industry 2: Deploying Enterprise Level, Ontology-Driven Faceted Search
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 encod...
Ontologies, semantic web and VE
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...
Workshop: Improving the recruitment process through ontology-based querying
Lecture slides: Improving the recruitment process through ontology-based querying Outline Motivation Project Context Today’s e-Recruitment Use Case-based Requirement Analysis Semantic Web-based solution (I) Semantic Web-based solution (II) Advantages of Semantic Web-based solution Semantic Web-based solution (III) Some (still) open issues How to relax the query How to specify these relaxa...
An Efficient Ontology-Based Expert Peering System
This paper proposes a novel expert peering system for information exchange. Our objective is to develop a real-time search engine for an online community where users can query experts, who are simply other participating users knowledgeable in that area, for help on various topics.We consider a graph-based scheme consisting of an ontology tree where each node represents a (sub)topic. Consequentl...
In-Use 1: OntoWiki - A Tool for Social, Semantic Collaboration
Lecture slides: OntoWiki - A Tool for Social, Semantic Collaboration How do we get more Semantic to the Semantic Web? Adaptive vs. predictive Adopting Web 2.0 ideas The Wiki Way OntoWiki / Powl Architecture OntoWiki Application Domain Current Work & Future Plans Author: Sören Auer, University Of Leipzig
Learning to Reason Knowledge Acquisition in Cyc
Lecture slides: Learning to Reason: Knowledge Acquisition in Cyc Overview Expressivity The Cyc Knowledge Base Syntactic Power For Inference: Senses of ‘In’ Senses of ‘In’ Concepts are densely related in Cyc Power The Cyc Analytic Environment - 1 The Cyc Analytic Environment - 2 How is this done? The Cyc Analytic Environment - 3 45th’s Space Wing Hurricane Preparedn...
Bootstrapping Ontology Evolution with Multimedia Information Extraction
Lecture slides: Bootstrapping ontology evolution with multimedia information extraction The facts Objectives Approach The end user’s view pt 1 The end user’s view pt 2 The service provider’s view pt 1 The service provider’s view pt 2 Semantics extraction Multimedia semantic model Ontology evolution Open issues: semantics extraction Open issues: semantic model Open issues...
Ontology Engineering Methodologies
Using the insights gained in a decade of research Asun will describe the main principles and phases underlying the construction of ontologies, including acquisition, conceptualization, evaluation and integration. By the end of this presentation attendees will have an overview of the main steps involved in creating an industrial strength ontology. Author: Asunción Gómez Pére...
Learning from the Masters: Understanding Ontologies found on the Web - Part 7
The purpose of this tutorial is to help attendees gain sufficient experience of working with OWL and tools to allow them to fruitfully explore new ontologies that they may encounter. In other words, they should be able to do the equivalent of “view source” on an ontology. Also, they will get better fluency in the use and abuse of OWL by examining features, limitations, and workaroun...