Бакалавриат
2020/2021
Семантические технологии
Статус:
Курс по выбору (Прикладная математика и информатика)
Направление:
01.03.02. Прикладная математика и информатика
Где читается:
Факультет компьютерных наук
Когда читается:
4-й курс, 3 модуль
Формат изучения:
без онлайн-курса
Преподаватели:
Герасимова Ольга Александровна,
Захарьящев Михаил Викторович
Язык:
английский
Кредиты:
4
Контактные часы:
46
Course Syllabus
Abstract
This course is an introduction to Semantic Technologies that provide easier ways to find, share, reuse and combine information. Semantic Technologies define and link data on the Web or within an enterprise by developing languages to express rich, self-describing interrelations of data in a form that machines can process. They provide an abstraction layer above existing IT technologies that connects data, content and processes. Semantic Technology standards developed by W3C include - a flexible data model RDF (Resource Description Framework) for storing data in graph databases - schema and ontology languages for describing concepts and relationships (RDFS and OWL) - the query language SPARQL designed to query data across various systems and databases and to retrieve and process data stored in RDF format. Applications of Semantic Technologies range from Linked Data, Wikidata, Healthcare and Pharma Industry, Supply Chain Management, Publishing and Media Management, Web Search and E-commerce to Data Integration in the Oil & Gas industry.
Learning Objectives
- introduce the theoretical foundations of Semantic Technologies, including the languages RDF/S, SPARQL, the Web Ontology Language OWL
- provide the students with practical skills of modelling data using RDF/S, querying RDF triplestores, relational databses and XML documents, building ontologies and using datalog
- overview the current applications of Semantic Technologies in health care, media management, and industry;
- demonstrate a few standard algorithms for classification of concepts in ontologies and answering queries
Expected Learning Outcomes
- understand fundamental concepts, advantages and limitations of Semantic Technologies
- understand and use deductive database systems
- understand the basics of knowledge representation with description logics
- understand the principles of ontology-based data access and integration
- understand and use the RDF framework and associated technologies such as RDFa and SPARQL
- understand and use the ontology language OWL 2 and its profiles
- understand relational databases and XML documents
Course Contents
- IntroductionIntroduction to the module. Ontologies in (Computer) Science. Knowledge graphs. Schema.org. Wikidata. Seminar: building a Don Corleone family ontology.
- XML/XML Schema, XPathIs XML a semantic technology? The tree model of XML documents, XML Schema. Querying XML documents with XPath. JSON (JavaScript Object Notation). Seminar: Practical querying XML documents with XPath.
- Querying relational databasesQuerying relational databases: a quick survey. Seminar: Practical querying relational databases with PostgreSQL.
- RDF/RDFs, language TurtleResource Description Framework (RDF). RDF Schema. RDF/S semantics. Terse RDF Triple Language Turtle. Seminar: producing RDF triples: by hand, from tables, from natural texts.
- Query language SPARQLRDF query Language SPARQL. Seminar: Querying RDF triplestores: DBpedia, German cities. Setting up and querying an Apache Fuseki triplestore.
- Ontology-based data accessIntroduction to ontology-based data access (OBDA). OBDA platform Ontop. Seminar: setting up ontology-based access to the IMDB database.
- OWL, Ontology engineeringRequirements for ontology languages. From RDFS to OWL. OWL ontologies. Ontology. Ontology engineering. OWL ontologies in life sciences and industry. Seminar: designing an ontology using Protege.
- Reasoning with OWLReasoning with OWL. Introduction to Description Logic and formal semantics. Seminar: answering queries with Protege.
- Deductive databasesDeductive databases. Knowledge representation and query answering with datalog. Seminar: query answering with DLV and RDFox.
Assessment Elements
- ExamWritten exam with discussion. Preparation time – 120 min. Students have to demonstrate knowledge of the material covered during the entire course and the ability to apply the materials. Технические требования: web-камера, микрофон, наушники / колонки
- In-class tasks/ homeworksThe assessments consist of several in-class practical tasks.
Bibliography
Recommended Core Bibliography
- Poli R., Healy M., Kameas A. (ed.). Theory and applications of ontology: Computer applications. – New York : Springer, 2010.
Recommended Additional Bibliography
- Stuckenschmidt, H., Van Harmelen, F. Information sharing on the semantic web. – Springer Science & Business Media, 2005.