https://cw.fel.cvut.cz/b201/ 2026-05-05T15:39:54+0200 https://cw.fel.cvut.cz/b201/ https://cw.fel.cvut.cz/b201/lib/tpl/bulma-cw/images/favicon.ico text/html 2020-09-24T17:34:08+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b201/courses/osw/cp0?rev=1600961648&do=diff Checkpoint 0 (max 5 pts) ---------- Deadline 4. 10. 2020 Goal The goal of this checkpoint is to define the topic of your data integration task, get the question you need answers for and select datasets containing that information. Deliverable text/html 2020-09-23T15:39:46+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b201/courses/osw/cp1?rev=1600868386&do=diff Checkpoint 1 (max 20 pts) ---------- Deadline 15. 11. 2020 Goal Create a semi-automated data pipeline, which transforms the data sources from Checkpoint 0 into RDF. Each data source will keep its own, separate data schema. Crucial part of the checkpoint is data quality check and eventual cleaning. text/html 2020-09-23T15:46:15+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b201/courses/osw/cp2?rev=1600868775&do=diff Checkpoint 2 (max 25 pts) ---------- Deadline 3. 1. 2021 Goal Design an integration ontology for the datasets from Checkpoint 1 and test it. Deliverable OOSW ontologyOWL file(s)Checkpoint 0Checkpoint 1Opublished in your GraphDB repositoryCheckpoint 1 Details Using the principles of ontological engineering and basing it on the Unified Foundational Ontology. Show how the ontology integrates the datasets on interesting non-trivial SPARQL queries over an OWL/RDF representation of the integrate… text/html 2020-07-28T12:53:30+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b201/courses/osw/evaluation?rev=1595933610&do=diff Grading To obtain the graded assessment at the end of the course you need to: During semester, there will be two short tests (2 x max. 5 pts), without any minimal points restriction. Semestral project The semestral project is graded in three checkpoints: checkpoint 0checkpoint 1checkpoint 2 To successfully complete the semestral project, you need to obtain at least 50% grading from text/html 2020-09-23T16:26:48+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b201/courses/osw/osw_ontology?rev=1600871208&do=diff OSW Ontology The ontology is available at <http://onto.fel.cvut.cz/ontologies/osw2020>. The ontology imports <http://onto.fel.cvut.cz/ontologies/ufo> Brief description of classes Crisis--Trigger--Effect--Victim--Villain-- text/html 2021-01-07T22:28:18+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b201/courses/osw/program?rev=1610054898&do=diff Lectures L# Date Lecturer Contents Resources 1 24.9. PK Introduction, Ontologies, (Linked) (Open) Data [ slides] ([ handouts]) 2 1.10. PK RDF(S) [ slides] ([ handouts] 3 8.10. PK SPARQL, OWL basics [ slides] ([ handouts] 4 15.10. MM Semantic GIS, GeoSPARQL text/html 2020-09-29T22:50:52+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b201/courses/osw/semestral_work?rev=1601412652&do=diff Semestral Work The goal of the semestral work is to learn how to define a problem and questions leading to solve it, get (and recognize) quality data containing information needed to get the solution and actually answer the question. Grading The semestral work is graded in three checkpoints: text/html 2020-12-10T17:30:03+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b201/courses/osw/seminars?rev=1607617803&do=diff Tutorials T# Date Teacher Topic Resources 1 24. 9. MM Introduction, Course Organization, GraphDB [1 - (Linked) Open Data] ( [solution] ) 2 1. 10. MM RDF Basics [2 - RDF(S)] ( [solution] ) 3 8. 10. MM Checkpoint 0 , RDF, SPARQL Basics (2), RDFS reasoning text/html 2020-09-24T09:19:13+0200 Anonymous (anonymous@undisclosed.example.com) https://cw.fel.cvut.cz/b201/courses/osw/start?rev=1600931953&do=diff Ontologies and Semantic Web (B4M36OSW, BE4M36OSW) Rector's Order No. 16/2020OSW MS Team Annotation The course “Ontologies and Semantic Web” will guide students through current trends and technologies in ontologies, linked data and semantic web. Students will learn to design linked data, ontologies, thesauri, formalizing them in a suitable formal language, querying them and creating semantic web applications on top of them.