How To Learn Business Semantics Management

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Information Sciences MSc

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Studiegids informatie voor de masteropleiding Information Sciences. Klik op de onderstaande links om informatie over de vakken te bekijken. Of download de volledige studiegids als pdf met de knop “Maak pdf van gehele opleiding”.

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Inhoudsopgave

Compulsory Optional Courses 1

Compulsory Courses 1

Vak: Advanced Requirements Engineering 1

Vak: Business Semantics 2

Vak: Business Semantics Management 2

Vak: Design of Exp. and Anal. of Varia. 3

Vak: Distributed Multimedia Systems 4

Vak: E-Business Innovation 4

Vak: E-Business Innovation 5

Vak: Internet Information 5

Vak: Knowledge and Media 5

Vak: Mobile Systems 6

Vak: Ontology Engineering 6

Vak: Research methods 7

Vak: Software Architecture 8

Vak: Thesis Design 9

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Compulsory Optional Courses

Constrained choice of listed IS Master courses. Master Coordinator: Dr. P.G.M. De Leenheer K room T-427 T +31 (0) 20 598 3755 E pgm.de.leenheer@few.vu.nl Vakken:

Compulsory Courses

Vakken:

Advanced Requirements Engineering

Naam Periode Credits Code

Advanced Requirements Engineering Period 3 3.0 X_400423 Business Semantics 6.0 X_405079 Business Semantics Management Period 6 3.0 X_405068

Design of Exp. and Anal. of Varia. 2.0 X_400310 Distributed Multimedia Systems Period 4 3.0 X_405003 E-Business Innovation 7.0 X_400110

E-Business Innovation Periode 1 6.0 X_405051

Internet Information Periode 4 6.0 X_418048

Knowledge and Media Periode 2 6.0 X_405065

Mobile Systems 6.0 X_418068

Ontology Engineering Period 4 3.0 X_400292

Software Architecture Period 2 6.0 X_400170

Visual Analytics 6.0 X_418074

Naam Periode Credits Code

Research methods 6.0 X_405085

Thesis Design 6.0 X_405087

Course code X_400423 (400423)

Period Period 3

Credits 3.0

(5)

Course objective

To understand ongoing research in the field of Requirements Engineering.

Course reading

Articles on Requirements Engineering. The specific articles will be selected each year.

Target group

3IMM, mIS

Business Semantics

Business Semantics Management

The course Online Information systems is limited to the study of traditional "closed" information systems intended for a specific

organization. The functional requirements are known beforehand and the meaning of business terms and rules are sufficiently clear and uniformly valid within the organizational context. This course broadens the concept of information system to "open" information system where "semantic interoperability" with its environment is a pain point. The origin of the problem lies in the fact that it is not known in advance with which systems in its environment and according to what policies and rules an open system must be able to exchange information. To support semantic interoperability, system owners should agree on and standardise the meaning of business terms and rules among participating systems. Ontologies are dynamic models that capture the meaning of business terms and rules. Hence, they underpin solutions for semantic interoperability and many other semantic applications that are studied in the course Ontology Engineering.

The purpose of this course is to learn the Business Semantics Management

Faculty Faculteit der Exacte Wetenschappen

Coordinator dr. J. Gordijn

Vakcode X_405079 ()

Credits 6.0

Voertaal Engels

Faculteit Faculteit der Exacte Wetenschappen

Coördinator dr. P.G.M. De Leenheer

Course code X_405068 ()

Period Period 6

Credits 3.0

Language of tuition English

Coordinator dr. P.G.M. De Leenheer

Teaching staff dr. P.G.M. De Leenheer

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methodology that enables a business community to collaboratively define the meaning of their business vocabularies and rules (read: business semantics) in an ontology. Next, this ontology (formatted in ORM, RDF or UML) is validated in diverse information-technical contexts. By deriving ontologies from business semantics managed on a business level, the entropy in the numerous data translations between business and IT can be partly remedied.

Course content

Short recap of the Online Information Systems terminology. Introduction of the concept of "open information system" and the problem of "semantic interoperability ". Introduction of the relationship between "business semantics" and its derivative "ontology" to solve the problem of semantic interoperability on the technical level. Learning to handle the

OMG SBVR (http://www.omg.org/spec/SBVR/1.0/) standard and the Business Semantics Management methodology for building business vocabularies and rules in SBVR, and automatically deriving ontologies from them. Validate a variety of ontologies in diverse semantic applications.

Form of tuition

The red thread is a role-playing game in which students form groups each representing a stakeholder organization in a business community. Using the web-based environment for Business Semantics Management, the community collaboratively defines an ontology that enables semantic interoperation between their information systems. This is done step by step by following the BSM methodology. First, a governance model that defined the roles and responsibilities for each of the stakeholders within the community is set. Next, the community determines which are the main terms for which a semantic agreement is necessary. This is followed by a reconciliation process resulting in a unified ontology that captures the meaning of these terms and their associated rules sets. This ontology is then validated by applying it in the community. Finally, we discuss possible extension points for the method and references to other courses such as ontology engineering. Every team conclude their findings in a written report.

Type of assessment

team project

Course reading

Lecture notes, exercises, and slides provided by the lecturer. A web-based software environment for BSM. Thematic papers that elaborate on selected topics.

Recommended background knowledge

Online informatiesystemen

Target group

mCS-SE, mIS

Design of Exp. and Anal. of Varia.

Vakcode X_400310 (400310)

Credits 2.0

Voertaal Engels

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Distributed Multimedia Systems

This course studies the systems aspects of creating and deploying interactive multimedia applications. This course studies the data

coding, streaming multimedia servers, temporal specification languages and rendering systems required to store and deploy multimedia

information in distributed, networked environments.

Course content

The topics surveyed in this course include:

- coding and compressing discrete time sensitive information - network and OS support issues for distributed multimedia systems (incl QoS)

- streaming server architectures and protocols - distributed content structuring languages - rendering system architectures

- interaction models and methods for dynamic content

Using a layered application approach, the course investigates both the theoretical foundations and practical applications for each of the areas studied. Each of the main modules is accompanied by a series of experimental labs that take student- generated content and work through the steps leading to wide- scale distribution. In all cases, the

limitations of manipulating time- sensitive information is stressed in the course.

Form of tuition

Lectures and practial labs.

3 practical assignments and one examination.

Course reading

Articles from the scientific literature, extracts from standard textbooks, online reference material.

Target group

Optional course for mCS, mAI and mIS

E-Business Innovation

Course code X_405003 (405003)

Period Period 4

Credits 3.0

Coordinator prof. dr. D.C.A. Bulterman

Teaching staff prof. dr. D.C.A. Bulterman

Teaching method(s) Lecture, Seminar

Vakcode X_400110 (400110)

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E-Business Innovation

Internet Information

Knowledge and Media

Doel vak

The goal of the course is to provide insight in the concepts of

knowledge, ontologies and knowledge processes in relation to various ICT-based media.

Inhoud vak

This course treats the principles and theories that form the foundation of knowledge-intensive processes in relation to various multi-media

applications. Knowledge processes are those processes that use knowledge (reasoning), document knowledge (representation), acquire knowledge or transfer knowledge (teaching). The relation between knowledge processes and (interactive) media will be explored. Various types of applications will be discussed, such as special purpose search engines, educational systems, serious gaming and mind tools.

Voertaal Engels

Coördinator dr. J. Gordijn

Vakcode X_405051 (405051)

Periode Periode 1

Credits 6.0

Voertaal Engels

Coördinator dr. J. Gordijn Docent(en) dr. J. Gordijn Lesmethode(n) Hoorcollege Vakcode X_418048 (418048) Periode Periode 4 Credits 6.0 Voertaal Engels

Vakcode X_405065 (405065)

Periode Periode 2

Credits 6.0

Voertaal Engels

Docent(en) dr. M.G.J. van Erp

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Onderwijsvorm

Working lectures, very much based on the Paradigm of Constructivism

Toetsvorm

Portfolio

Literatuur

Articles distributed through Blackboard

Doelgroep

UvA students and optional course for mCS, mAI and mIS

Mobile Systems

Inhoud vak

The course description is available on:

http://studiegids.uva.nl/web/uva/sgs/en/c/8034.html

Doelgroep

mIS

Overige informatie

Course registration is compulsory via http://studieweb.student.uva.nl

Ontology Engineering

Course content

Ontologies are nowadays used in computer science as means to share common concepts between information systems, This course is focused on theory, methods, and tools for constructing and/or extending ontologies for this purpose. The topics of the lectures center around engineering principles, e. g. subtype hierarchies (backbone identification,

viewpoints, dimensions, constraint specification), part- of structures (types of part- of relations, representation of part- of relations), and default knowledge. Also, the mapping and/or integration of

different ontologies is discussed. The course contains examples of how ontologies are used in practice. The assignments focus on real- life

Vakcode X_418068 ()

Credits 6.0

Voertaal Engels

Coördinator O.W. Schrofer

Course code X_400292 (400292)

Period Period 4

Credits 3.0

Coordinator prof. dr. A.T. Schreiber

Teaching staff prof. dr. A.T. Schreiber

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examples of ontologies currently in use in web applications. Form of tuition Lectures, assignments. Type of assessment Assignments, paper. Course reading

Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL

Dean Allemang and James Hendler Publisher: Morgan-Kaufmann Release date: May 2008 ISBN: 978-0-12-373556-0

Entry requirements

Web- gebaseerde kennisrepresentatie (400083).

Target group

mIS

Remarks

Registration on blackboard is compulsory for this course.

Research methods

Doel vak

This course helps students who want to embark on their Master research project and thesis.

Inhoud vak

The course provides an interdisciplinary overview of and hands-on work with different scientific research methods, with an emphasis on

ICT/information systems and technologies in interaction with their human, social and organizational contexts.

Topics are:

- scientific research and its goals, the idea of scientific method; - developing and framing the research questions you want to answer; - making a research design and planning your research;

- conceptualization, theory formation and validation/triangulation;

- research methods and their assumptions, pros and cons (e.g. interview, observation, case study, field and action research, modelling and

simulation, experiment, survey, statistical analysis);

- how do you (and others) know that your research results are valid? - scientific argument, communication and research report writing.

Vakcode X_405085 ()

Credits 6.0

Voertaal Engels

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Onderwijsvorm

In addition to lectures on various aspects of and issues in research methodology, students will get hands-on experience with different research methods. The setting of the practical work is that of a continuing research case investigation that emulates the different stages of a scientific research project. The research case question to be investigated is: What is it for systems to be considered "smart" or intelligent"?

Toetsvorm

Research project report, take-home written exam, active course participation (incl. self-report)

Literatuur

- Selection from Trochim’s Social Research Methods Knowledge Base (

http://www.socialresearchmethods.net/kb/)

- Natasha Mack et al.: Qualitative Research Methods - A Data Collector's Field Guide

- Andy Field: Discovering Statistics using SPSS

- Digital resource of articles and excerpts on specific topics

Vereiste voorkennis

Basic knowledge of qualitative and quantitative research methods

Doelgroep

mAI-CIS, mAI-CS, mAI-HA, mAI-KTIIA, mAI-TAI, mIS

Intekenprocedure

This course will be offered twice: in semester 1 at the FNWI and in semester 2 at the VU.

Registration for courses at the FNWI is mandatory, but will be done by the Education Service Centre for the 1st year MSc students for courses of the first semester. See also http://www.student.uva.nl and choose your master and then 'New procedure 'Registration for courses Faculty of Science'.

Registration for this course in semester 2 at the VU is mandatory and must be done at the VU (Free University)

Software Architecture

Get acquainted with the field of software and information architecture. Understand the drivers behind architectural decisions. Be able to develop and reason about an architecture of a non- trivial system.

Course code X_400170 (400170)

Period Period 2

Credits 6.0

Coordinator prof. dr. J.C. van Vliet

Teaching staff prof. dr. J.C. van Vliet

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Course content

Students work in groups to develop an architecture for a fictitious system. They have to develop different representations (called views) of the architecture. These different representations emphasize different concerns of people that have a stake in the system. Each group will also be asked to assess ("test") the architecture of another group for certain quality attributes.

Form of tuition

Group work with a number of assignments

Written reports of the assignments, presentation, exam.

Course reading

Len Bass et al, Software Architecture in Practice second edition. Addison-Wesley, 2003.

Thesis Design

Visual Analytics

Inhoud vak

The course description is available on:

http://studiegids.uva.nl/web/uva/sgs/en/c/11455.html

Doelgroep

mIS

Overige informatie

Course registration is compulsory via http://studieweb.student.uva.nl

Vakcode X_405087 ()

Credits 6.0

Voertaal Engels

Coördinator dr. P.G.M. De Leenheer

Vakcode X_418074 ()

Credits 6.0

Voertaal Engels