Fall 2021

INF 385T Special Topics in Information Science : Data Semantics

Unique ID: 28820

   Mon

12:00 PM - 03:00 PM  UTA 1.208
In Person

DESCRIPTION

This course aims to provide the basic overview of the Semantic Web in general, and data semantics in particular, and how they can be applied to enhance data integration and knowledge inference. Ontology is the backbone of the Semantic Web. It models the semantics of data and represents them in markup languages proposed by the World Wide Web Consortium (W3C). W3C plays a significant role in directing major efforts at specifying, developing, and deploying standards for sharing information. Semantically enriched data paves the crucial way to facilitate the Web functionality and interoperability.

This course aims to provide the basic overview of what the Semantic Web is and how it can be applied. It contains three parts: Semantic Web language, RDF graph database (i.e., RDF triple store), and its applications. The fundamental part of the course is the Semantic Web languages. It starts from XML and goes further to RDF and OWL. The RDF graph database part introduces different APIs of Jena and its reasoners. The application part showcases current trends on semantic applications.

PREREQUISITES

Graduate standing.

Basic knowledge of HTML and XML is recommended.

RESTRICTIONS

Registration priority given to iSchool students. Additional seats may open up for outside students in a later registration period.