Masterstudium Business Informatics - Fakultät für Informatik, TU Wien

Skills:
• Knowledge about eciently extracting factual data from the Web as biggest database
• Overview of today's approaches and languages to query and extract data, and
methods how to generate and maintain Web wrappers based on, e.g., machine
learning techniques and heuristics
• Understand and tackle important problems and questions of data extraction
• Overview about state-of-the-art tools in the area of data extraction
• Understanding about real-life scenarios in various vertical domains and the components
needed therefore
Competences:
• Creating problem solutions and being creative how to re-use and re-package factual
Web data
• Group talks
Syllabus: Information extraction: setting, history, IE vs. IR; structured data extraction
and Web wrapping methodologies; XML transformation and query languages and document
object model; Web wrapper languages such as the Elog Extraction Language;
inductive wrapper generation (using machine learning); automatic data extraction and
Web data mining approaches; robust data extraction from tree structures; deep Web navigation
approaches and extraction from dynamic sites; supervised wrapper generation;
academic, open-source, and commercial wrapper generation tools; scenario generation
with extraction and integration frameworks in vertical domains; data extraction from
PDF documents; data extraction from freetexts, Web data cleansing and record linkage;
creation of a Web document ontology; data integration, mediation, and mapping; application
domains of Web data extraction; functional Web 2.0 application testing; Web
process automation and SOA; Web ETL connectors (Web data for business intelligence);
Web accessibility using automated extraction and understanding
Expected Prerequisites: XML-Technologies
Teaching and Learning Methods and Adequate Assessment of Performance: The module
is organized along lectures, exercises by using several tools (like XML querying tools,
wrapper generation frameworks (e.g., students will get a chance to work with Lixto,
but can choose to work with other tools instead as well), record linkage tools, and web
application testing tools), and student group talks,
Courses of Module:
3.0/2.0 VU Web Data Extraction and Integration
3.0/2.0 VU Applied Web Data Extraction and Integration
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