Uses available ontology browsing tools to explore the ontologies used in a particular dataset. – Linked Data for Professional Education

OntoCheck: Verifying Ontology Naming Conventions and Metadata Completeness in Protégé 4

Sat, 22 Jul 2017 07:21:14 +0000

This article describes OntoCheck, a plugin available for the Protégé Ontology editor. OntoCheck, allows for ontology tests to be carried out on OWL ontologies, aiding in consistency and compliance with ontology naming conventions and metadata completeness, as well as curation in case of found violations. The authors describe a first version of the software, illustrate its capabilities and use within running ontology development efforts and briefly outline improvements resulting from its application.

URL: https://www.researchgate.net/publication/232224662_OntoCheck_Verifying_ontology_naming_conventions_and_metadata_completeness_in_Protege_4
Keywords: Ontologies, Protégé, Web Ontology Language (OWL)
Author: Boeker, martin
Publisher: PubMed
Date created: 2012-09-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M

Semantic Web Topics: Term Project

Sat, 21 Jan 2017 06:46:40 +0000

This document outlines a final project originally from the course "Semantic Web Topics" at LeHigh University. Students are asked to extend, create, or apply one or more tools for the Semantic Web. Three kinds of projects are suggested: 1) Design a general-purpose tool that could be used to support a major capability or need of the Semantic Web (e.g., a tool to extract information from the Web, a more user-friendly tool to annotate pages with Semantic Web information, a reasoner, an ontology library system, or an information integration tool). 2) Extend an existing tool with an important new functionality (e.g., Create a new plugin for Protégé or extend Jena with new functionality. However, the new functionality must result in significant new code. 3) Take existing tools and use them to develop an interesting application. In such cases the software development could involve creating a means to convert large amounts of real-world data into Semantic Web format and/or customized query interfaces. There may also be some amount of code that ties various tools together in a novel way.

URL: http://www.cse.lehigh.edu/~heflin/courses/sw-2013/project2.pdf
Keywords: Semantic Web, API
Author: Heflin, Jeff
Date created: 2013-02-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20H
Educational use: assessment
Educational audience: teacher-educationSpecialist
Interactivity type: active

OOPS!: Catalogue of Common Pitfalls

Sun, 15 Jan 2017 06:46:04 +0000

This catalogue of the most common pitfalls appearing when developing ontologies is part of the documentation for the OOPS! (OntOlogy Pitfall Scanner). The catalogue includes pitfalls which depend on the domain being modeled or the requirements specified for each particular ontology. Pitfalls that fall into these categories cannot be detected by the OOPS tool, and the user should manually check their ontology for these issues. As such, this catalogue serves as a useful guide for anyone who is developing an ontology, regardless of the tools they are using.

URL: http://oops.linkeddata.es/catalogue.jsp
Keywords: Ontology, Web Ontology Language (OWL), Reasoning
Author: Poveda, María
Date created: 2016-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: active

OOPS!: Ontology Pitfall Scanner

Sun, 15 Jan 2017 06:46:04 +0000

This tool helps to detect some of the most common pitfalls appearing when developing ontologies. The user enters a URI or paste an OWL document into a text field and a list of pitfalls( and the elements of the ontology where they appear) is displayed. For example: OOPS will detect if the domain or range of a relationship is defined as the intersection of two or more classes. This warning could avoid reasoning problems in case those classes could not share instances.

URL: http://oops.linkeddata.es/
Keywords: Ontology, Web Ontology Language (OWL), Reasoning
Author: Poveda, María
Date created: 2016-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: active

Protege: How To Add Individuals

Wed, 11 Jan 2017 06:45:37 +0000

This video is about adding individuals to an ontology which was previously created using Protégé, a free, open-source ontology editor and framework. Although the video deals with one specific tool, it lends insight into the thought process of building out an ontology from scratch. Discusses object property assertions and shows an example of how the tool's built-in reasoner can detect inconsistencies in the ontology.

URL: https://www.youtube.com/watch?v=_7MfDdsFePk
Keywords: Protégé, Ontology
Author: Bikakis, Antonis
Date created: 2013-02-18 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P5M
Educational use: instruction
Educational audience: student
Interactivity type: expositive

Inspecting An Ontology With RDFLib

Thu, 29 Dec 2016 06:44:04 +0000

In this blog post, the author details some simple exercises in using the Python RDFLib library to parse and extract information from RDF data. Then, he takes things an important step further, using RDFLib to evaluate the ontology the RDF data refers to in order to judge whether that data is what one is looking for or not – and how to best integrate it into an application.

URL: http://www.michelepasin.org/blog/2011/07/18/inspecting-an-ontology-with-rdflib/
Keywords: Python, RDFLib, Ontology
Author: Pasin, Michele
Date created: 2014-10-04 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Interactivity type: mixed

OntoSpy Documentation

Thu, 29 Dec 2016 06:44:03 +0000

OntoSPy is a lightweight Python library and command line tool for inspecting and navigating vocabularies encoded using W3C Semantic Web standards (aka ontologies). The basic workflow is simple: load a graph by instantiating the Graph class with a file containing RDFS, OWL or SKOS definitions. You get back an object that lets you interrogate the ontology. The same functionalities are accessible also via a handy command line application. This consists of an interactive environment (ontospy –shell) that allows to save ontologies into a local repository so that they can be quickly reloaded for inspection later on.

URL: http://ontospy.readthedocs.io/en/latest/
Keywords: Ontology, Python
Author: Pasin, Michele
Date created: 2015-10-01 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M

Mining the Web of Linked Data with RapidMiner

Sat, 16 Jan 2016 13:43:29 +0000

Lots of data from different domains is published as Linked Open Data. While there are quite a few browsers for that data, as well as intelligent tools for particular purposes, a versatile tool for deriving additional knowledge by mining the Web of Linked Data is still missing. In this challenge entry, we introduce the RapidMiner Linked Open Data extension. The extension hooks into the powerful data mining platform RapidMiner, and offers operators for accessing Linked Open Data in RapidMiner, allowing for using it in sophisticated data analysis workflows without the need to know SPARQL or RDF. As an example, we show how statistical data on scientific publications, published as an RDF data cube, can be linked to further datasets and analyzed using additional background knowledge from various LOD datasets.

URL: http://videolectures.net/iswc2014_paulheim_rapidminer/
Keywords: RapidMiner, Data Mining, Linked Open Data, Scalability, Predictive analytics
Author: Ristoski, Petar
Date created: 2014-12-19 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P15M

Linked Data and SPARQL Queries Tutorial

Wed, 30 Dec 2015 18:37:26 +0000

This tutorial goes through some basic SPARQL queries in order to give the user a sense of how to discover and query different Linked Data (LD) sets. It seeks to answer, through some examples, the following questions:1. How do I know where to look to identify LD sets? 2. Once I know that a LD set of interest exists, how should I query it? 3. How do I query across different LD sets?

URL: http://ctsaconnect.org/system/files/Linked%20data%20and%20SPARQL%20queries%20tutorial.pdf
Keywords: Linked Data, Linked Open Data Cloud, Dataset, RDF, SPARQL, Query, SPARQL endpoint
Publisher: VIVO
Date created: 2012-01-01 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: generalPublic
Interactivity type: active

Ontology Consistency and Instance Checking for Real World Linked Data

Abi Evans — Tue, 10 Nov 2015 05:13:00 +0000

Many large ontologies have been created which make use of OWL's expressiveness for specification. However, tools to ensure that instance data is in compliance with the schema are often not well integrated with triple-stores and cannot detect certain classes of schema-instance inconsistency due to the assumptions of the OWL axioms. This can lead to lower quality, inconsistent data. This video describes a simple ontology consistency and instance checking service, "SimpleConsist", and also defines a number of ontology design best practice constraints on OWL or RDFS. Also available as PDF: http://videolectures.net/site/normal_dl/tag=961749/eswc2015_mendel_gleason_linked_data_01.pdf

URL: http://videolectures.net/eswc2015_mendel_gleason_linked_data/
Keywords: Ontology, Web Ontology Language (OWL), RDF Schema, Triple, Constraints, Instances
Author: Mendel-Gleason, Gavin
Publisher: videolectures.net
Date created: 2015-07-15 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P10M
Educational use: instruction
Educational audience: student
Interactivity type: expositive