INF 385T - Special Topics in Information Science: Information Modeling

Fall 2016
Unique ID: 28225
Syllabus:   Syllabus
Prof:  Wickett, Karen
Room: UTA 1.204
Days:  Wed
Time: 3:00 pm - 6:00 pm

Graduate standing. Additional prerequisites may vary with the topic.

Study of the properties and behavior of information. Technology for information processing and management.

Three lecture hours a week for one semester.

May be repeated for credit when the topics vary.

Topic Description:
Information Modeling

An introduction to the foundations of the information modeling methods used in current digital library applications as well as in information management in general. The specific methods considered are relational database design, conceptual modeling, markup systems, and ontologies. The basic concepts underlying these methods are, respectively, relations, entities, grammars, and logic. Implementations include relational
database design, ER/EER/UML diagrams, XML markup languages, and RDF/OWL semantic web languages. First order logic is emphasized throughout as the foundational framework for information modeling in general, and for contemporary web-based information management and delivery systems (including semantic web technologies) in particular.

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