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Masterstudium Business Informatics - Fakultät für Informatik, TU Wien

Masterstudium Business Informatics - Fakultät für Informatik, TU Wien

Masterstudium Business Informatics - Fakultät für Informatik, TU Wien

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• Knowledge modeling<br />

Competences:<br />

• Group work<br />

• Knowledge sharing<br />

• Innovation of knowledge processes<br />

Syllabus: Objectives and problems of knowledge management in enterprizes and other<br />

organizations; process model for knowledge management; competence management; methods<br />

and systems for knowledge management; knowledge acquisition and engineering;<br />

knowledge representation; social software systems; machine learning<br />

Teaching and Learning Methods and Adequate Assessment of Performance: The module<br />

is organized along lectures, assignments, and hands-on exercises (alone or in groups).<br />

When appropriate, tools are provided.<br />

Courses of Module:<br />

3.0/2.0 VO Knowledge Management<br />

3.0/2.0 UE Knowledge Managment<br />

SBI/KM2 - Information Extraction and Integration<br />

ECTS-Credits: 6.0<br />

Summary: This module deals with data extraction from the Web and integration of<br />

Web data into applications and processes. It comprises an overview about information<br />

extraction in general and covers in particular methods of Web querying and wrapper<br />

generation, as well as presenting wrapper languages, deep Web navigation traversal methods,<br />

and inductive, automated, and supervised approaches. Data extraction based on<br />

visual rendition, questions about robustness and adaptation, and further algorithmical<br />

and technical aspects are covered. Furthermore, a special focus of this module is how<br />

Web extraction and integration topics are addressed by state-of-the-art libraries, tools,<br />

and frameworks and used in real-life scenarios. Special emphasis is given to Web data<br />

cleansing, integration of Web data into competitive intelligence scenarios, mashups, web<br />

application testing, web process integration, and using extraction and document understanding<br />

technologies for enabling web accessibility. The course comprises both a lecture<br />

and an exercise part. The lecture part is primarily intended to teach about methodologies<br />

as well as to illustrate concepts from practice including system live demonstrations.<br />

The goal of the exercises is to strengthen the knowledge of the participants, especially<br />

including practical usage of tools in the area of web data extraction.<br />

Learning Outcomes:<br />

Knowledge:<br />

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