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«Masterstudium Business Informatics an der Technischen Universität Wien Studienplan 2011 in der Fassung vom Juni 2013 Gültig ab 1. Oktober 2013 ...»

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3.0/2.0 VO Knowledge Management 3.0/2.0 UE Knowledge Managment SBI/KM2 - Information Extraction and Integration ECTS-Credits: 6.0 Summary: This module deals with data extraction from the Web and integration of Web data into applications and processes. It comprises an overview about information extraction in general and covers in particular methods of Web querying and wrapper generation, as well as presenting wrapper languages, deep Web navigation traversal methods, and inductive, automated, and supervised approaches. Data extraction based on visual rendition, questions about robustness and adaptation, and further algorithmical and technical aspects are covered. Furthermore, a special focus of this module is how Web extraction and integration topics are addressed by state-of-the-art libraries, tools, and frameworks and used in real-life scenarios. Special emphasis is given to Web data cleansing, integration of Web data into competitive intelligence scenarios, mashups, web application testing, web process integration, and using extraction and document understanding technologies for enabling web accessibility. The course comprises both a lecture and an exercise part. The lecture part is primarily intended to teach about methodologies as well as to illustrate concepts from practice including system live demonstrations.

The goal of the exercises is to strengthen the knowledge of the participants, especially including practical usage of tools in the area of web data extraction.

Learning Outcomes:

Knowledge:

• 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

Skills:

• 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

–  –  –

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 SBI/KM3 - Semantic Web ECTS-Credits: 6.0 Summary: The goal of this module is to introduce Semantic Web vision and basic understanding of Semantic Web technologies. The Semantic Web supports extensive possibilities for automated interrelation and query of information and processes. In this context Ontology as the building block of Semantic Web will be introduced and some important properties of ontologies will be discussed. It will be also shown how ontologies can support varied applications in dierent knowledge domains. This module also introduces some emerging trends in ontologies and Semantic Web eld, such as Linked Open Data. Furthermore, Based on the standard formats and languages such as XML, RDF(S) and OWL, some technologies and tools are presented that facilitate semi-automatic integration of various data sources. In this module mapping algorithms and interfaces for semi-automatic alignment of data, based on recent research results will be introduced.

Learning Outcomes:

Knowledge:

• Learning Semantic Web vision and basic concepts

• Potentials and limitations of interrelating metadata

• Practical exploration of current mapping methods and tools

• Tools and techniques for Ontology Alignment and Ontology Mapping

Skills:





• Knowledge about Semantic Web and Ontologies

• Skills needed to perform semantic modeling of a target domain based on Semantic Web and Ontologies

• Ability to capture and model semantic concepts of dierent domains

• Ability to bridge the information gap between dierent knowledge domains

• Ability to programmatically use Semantic Web technologies

Competences:

• Problem solving and development for dierent use-cases

• Deepening the own knowledge

• Enhancement of personal initiative and responsibility

• Developing scientic interest

• Collaborative knowledge ownership and management in a medium-sized team Syllabus: RDF (Resource Description Framework) und RDF Schema, Ontologies und OWL (Web Ontology Language), Description Logics, Tool support (Protege, Jena, etc), Software agents/Web Services, Semantic Web applications, Linked Open Data, Ontology alignment, Practical exploration of current mapping methods and tools, Semantic Integration of heterogeneous data sources, Ontologies and Manufacturing, Natural Language Processing Using Semantic Web Technologies.

Expected Prerequisites: XML-Technologies Teaching and Learning Methods and Adequate Assessment of Performance: The module is organized along lectures, practical exercises with presentation of the results and discussions.

Courses of Module:

3.0/2.0 VU Introduction to Semantic Web and one of the two alternatives * 3.0/2.0 VU Semi-Automatic Applications of Semantic Web Technologies * 3.0/2.0 VU Semantic Web Technologies SBI/KM4 - Semantic Business Processes ECTS-Credits: 6.0 Summary: Service oriented techniques are used for building software applications that use services available in a network such as the World Wide Web. The driving forces come from both the software engineering community and the business process community. Service-Oriented Architecture (SOA) promotes loose coupling between software components so that interoperability across programming languages and platforms can be achieved. Extending the classic middleware functions, SOA techniques incorporate the demands of e-business by adding process modeling and management functions. The description of services covers not only software interfaces but also semantic business information. Services can be dynamically discovered and composite services can be built from aggregates of other services.

Learning Outcomes:

Knowledge:

• Basic knowledge as well as recent research ndings on service oriented techniques in the context of both the semantic web and the business process area.

• Formal methods for web service process modeling including BPEL4WS for the orchestration as well as WS-CDL and WSCI for the choreography of processes.

• Description and retrieval of semantic services based on languages like OWL-S and WSMO

Skills:

• Knowledge about service oriented techniques in Semantic Web and Business Processes

• Knowledge about formal methods for web service process modeling

Competences:

• Problem solving and development for dierent use-cases

• Deepening the own knowledge

• Enhancement of personal initiative and responsibility

• Developing scientic interest

• Collaborative knowledge ownership and management in a medium-sized team Syllabus: Basic knowledge as well as recent research ndings on service oriented techniques in the context of both the semantic web and the business process area, Formal methods for web service process modeling including BPEL4WS for the orchestration as well as WS-CDL and WSCI for the choreography of processes, Description and retrieval of semantic services based on languages like OWL-S and WSMO, Web service development history and standards, Web-enabled Applications, Web service Frameworks and IDEs, The ADOweb Semantic-oriented BPM portal, Applications in E-Learning eld, Service-oriented Architecture, Grid/Cloud- and Legacy Systems, BizTalk Integration.

Expected Prerequisites: XML-Technologies, Semantic Web Basic Knowledge Teaching and Learning Methods and Adequate Assessment of Performance: The module is organized along lectures, seminars with presentation of the results and discussions.

Courses of Module:

3.0/2.0 VO Semantic Services for Business Process Management 3.0/2.0 SE Semantic Services for Business Process Management SBI/LAW - Advanced Aspects of IT-Law ECTS-Credits: 6.0 Summary: This module deals with advanced legal aspects in applied computer sciences and IT related project and contract issues. Students adopt a deeper and applied understanding of specic law sectors relevant for IT professionals in actual project scenarios.

Students identify the specic relevance of certain legal issues in applied IT scenarios.

Moreover students gain insight into everyday situations and are aware of the rights and duties of the parties involved, so that they may avoid legal drawbacks from the perspective of an IT professional. The majority of the lessons are held as presentations and discussions involving students. Moreover small practical exercises are elaborated by each student or in groups.

Learning Outcomes:

Knowledge:

• Appropriate understanding of the relevance and methodology of the law

• Ability to implement technical solutions according to legal requirements

Skills:

• Ability to look up and interpret legal regulations

• General understanding of specic topics related to computer science from the view of the Austrian legal system

Competences:

• Acquisition of a sense for legal issues in dierent sectors

• Generation of a general awareness for legal pitfalls

• Acquisition of basic legal knowledge for personal everyday concerns Syllabus: Aspects of law, methodology, repetition of legal basics; Aspects of EU and public international law; basic contract formation via internet (ABGB); e-commerce law (ECG); the critical role of legal and contractual issues in (large) IT projects; egovernment law (E-GovG, ZustG); data privacy law (DSG); example: legal aspects in the medical sector (AerzteG, KAKuG, GTelG); methodology of European new approach directives (medical devices); aspects of intellectual property (IP) and copyright law;

trademark law, software copyright law; introduction to patent law; open source licenses (GPL, LGPL, EuPL); IP-related contracting (licensing agreements, NDA, MoU, teaming agreement); designing IT- project contracts; computer crime legislation; digital forensics, digital preservation of evidence; security engineering and related legal issues Expected Prerequisites: Basic knowledge of legal systematics and methods The contents of the bachelor module WIN/RSI - Recht und Sicherheit.

Teaching and Learning Methods and Adequate Assessment of Performance: The module is organized along lectures, exercises, research of solutions to legal issues by each student, drafting a license contract in small groups.

Courses of Module:

6.0/4.0 VU Advanced Aspects of IT-Law SBI/MO2 - e-Business Modeling ECTS-Credits: 6.0 Summary: This module focuses on model-driven development of solutions for e-business partnerships. Thereby, the module investigates on methodologies and techniques on the dierent levels of an e-business partnership and the integration of these levels: (1) the value perspective manifested by a business model, (2) the process ow perspective manifested by choreographies among the parties, and (3) the execution perspective manifested by the deployment artifacts. A lecture series is accompanied by practical courses where the students have to demonstrate their skills by presenting solutions for given examples and develop a model-driven solution for a practical problem spanning all the dierent layers of inter-organizational systems for e-business.

Learning Outcomes:

Knowledge:

• Overview of the dierent aspects of building an inter-organizational system for an e-business partnership

• Understanding of current state of the art in major theories, principles, and concepts for describing an inter-organizational e-business system

• Qualication to adopt and extend existing modeling languages to domain specic needs

Skills:

• Developing domain specic languages for e-business

• Ability to apply the business knowledge and understanding to describe interorganizational systems

Competences:

• Formulating e-business related positions and problem solutions interfacing the scopes of domain experts and computer scientists

• Self-assessment the own skills and boundaries



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