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Interactive Knowledge Stack for Semantic Content Management Systems

Deliverable: 7.3 – Curriculum and training material for university teaching

Delivery Date: 29.02.2012

Author(s): Benjamin Nagel, Fabian Christ, Gregor Engels, Stefan Sauer

Filename: iks-d73-teachers_handbook.doc

Publication Level: Public Web link: http://www.iks-project.eu/iks-story/documentation

Teacher Handbook

e

http://www.iks-project.eu/iks-story/documentation

Table of Contents Document Information ......................................................................................................... 3

IKS in a Nutshell ................................................................................................................... 4

1 Introduction ................................................................................................................. 4

2 What is the Training Material about? ......................................................................... 5

3 Curriculum ................................................................................................................... 7

4 Training Material ......................................................................................................... 9

4.1 Overview about IKS Lectures ............................................................................. 10

4.2 Lecture Descriptions .......................................................................................... 12

This document contains material, which is the copyright of certain IKS consor-tium parties, and may not be reproduced or copied without permission. The commercial use of any information contained in this document may require a license from the proprietor of that information. Neither the IKS consortium as a whole, nor a certain party of the IKS consortium warrant that the information contained in this document is capable of use, nor that use of the information is free from risk, and accepts no liability for loss or damage suffered by any per-son using this information. Neither the European Commission, nor any person acting on behalf of the Commission, is responsible for any use which might be made of the information in this document. The views expressed in this document are those of the authors and do not nec-essarily reflect the policies of the European Commission.

IKS is co-funded by the European Union and develops technology for intelligent content management

Notice

Copyright

Document History

Version Name Date Remark

0.1 Benjamin Nagel 12.12.2011 Initial version

0.2 Benjamin Nagel 09.01.2012 Setup structure

0.3 Benjamin Nagel 25.01.2012 Added Lesson descriptions

0.4 Benjamin Nagel 31.01.2012 Added sections 1,2

0.7 Benjamin Nagel 01.02.2012 Revision

1.0 Benjamin Nagel 08.02.2012 QA-ready version

1.1 Benjamin Nagel 22.02.2012 Extended due to QA feedback

1.2 Benjamin Nagel 10.10.2012 Updated regarding new/updates lectures

Document Information

Item Value

Identifier IKS-231527-Deliverable7.3-2012

Author(s): Benjamin Nagel, Stefan Sauer, Gregor Engels (University of Paderborn)

Document title: IKS Deliverable – 7.3 Report: Curriculum and training material for university teaching

Source Filename: iks-d73-teachers_handbook.doc

Actual Distribution level Public

Document context information

Project (Title/Number) Interactive Knowledge FP7 231527

Work package / Task WP7 / T7.3

Responsible person and pro-ject partner:

Benjamin Nagel, s-lab, University of Paderborn

Quality Assurance / Review

Name / QA / Release / Com-ment

Wernher Behrendt (SRFG) Wolfgang Maass (USAAR)

Citation information

Official citation Benjamin Nagel, Gregor Engels, Stefan Sauer, 2012: IKS Deliverable. D7.3 Report: Curriculum and training material for university teaching

IKS in a Nutshell

“Interactive Knowledge Stack” (IKS) is an integrating project targeting small to medium Con-tent Management Systems (CMS) providers in Europe providing technology platforms for content and knowledge management to thousands of end user organizations. Current CMS technology platforms lack the capability for semantic web enabled, intelligent content, and therefore lack the capacity for users to interact with the content at the user’s knowledge level. The objective of IKS therefore, is to bring semantic capabilities to current CMS frameworks. IKS puts forward the “Semantic CMS Technology Stack” which merges the advances in se-mantic web infrastructure and services with CMS industry needs of coherent architectures that fit into existing technology landscapes. IKS will provide the specifications and at least one Open Source Reference Implementation of the full IKS Stack. To validate the IKS Stack prototype solutions for industrial use cases ranging from ambient intelligence infotainment, project management and controlling to an online holiday booking system will be developed.

1 Introduction

The main idea behind this deliverable is to aggregate the results that have been achieved in the IKS project, resulting in a set of training material for university teaching. This training ma-terial consists of slide sets introducing and explaining relevant topics, demos showing con-crete application examples for the imparted contents and exercises that can be performed in order to apply and deepen the gained knowledge. The objective of this teacher handbook is to provide an overview about the teaching material that has been created. In order to make the training material applicable in daily academic work in universities, the lectures are designed to be used in two different ways. The set of materials can be used as a consistent, "out-of-the-box" curriculum as shown in the next section. For this purpose, the lectures can be used in the defined order. Since in some cases, only selected topics are relevant and should be used in an existing course, the material has a modular structure. Single lectures can be integrated in an existing curriculum. In order to ease the integration previous knowledge and requirements are de-fined for each lecture.

2 What is the Training Material about?

The training material includes the main scientific finding of the IKS project described on an appropriate level of abstraction. In order to make these results usable in a course on univer-sity level, we also provide foundational lectures. These foundations are not an actual out-come of IKS but are required to make the more sophisticated content understandable to students. We identified four main topics that are relevant. These topics have been identified and refined as indicated in the mind map illustrated in Figure 1.

Content and

Knowledge

Management The Semantic

Web

Semantic Content

Management

Methodologies

for Developing

Semantic CMS

Motivation

Why do we need content

management?

Terminology

What are we talking about?

Relevant terms and their

meanings.

Shortcomings

What are the shortcomings

of „traditional“ CMS?

Semantics

What are „semantics“ and what is

their role in computer science?

The Vision

What is the idea behind the

Semantic Web? Tim Berners-Lee

vision and state-of-the-art.

Semantic Web Layer Cake

What are the underlying

technologies of the Semantic

Web?

Semantic Content

Management

Systems

Requirements

Engineering for semantic

CMS

How can requirements for

semantic CMS be elicitated

and specified in a

systematic way?

Reference Architecture

How does an architecture

of semantic CMS look like

and how can it be derived?

How does an appropriate

reference architecture

looks like?

Semantifying your CMS

How can an exisiting

„traditional“ CMS be

semantified?

Storing and Accessing

Semantic Data

How can semantic data

(knowledge) be stored and

accessed in an efficient way?

Semantic Lifting

How can semantic information be

extracted from content?

Knowledge Representation and

Reasoning

How can knowledge be described

in a machine-readable way?

Knowledge Interaction and

Presentation

In which way is semantically

enhanced content changing the

way we are creating/querying/

consuing and interacting content?

Designing interactive

ubiquitous IS

How can interactive

knowledge-supported

ubiquitous IS be designed?

Case Study on an

intelligent bathroom.

Figure 1:Mind map of relevant topics for training material

The overall topic of the course is termed "Semantic Content Management Systems". The first foundational topic is Content and Knowledge Management in general. Hereby, the need for CMS and KMS is motivated and relevant terms are introduced. The shortcomings of "tra-ditional" CMS are pointed out and discussed. The second foundational topic deals with the Semantic Web. Semantics are introduced as a concept in computer science. Based on this, Tim Berners-Lees vision of "The Semantic Web" is explained and the underlying technological foundations are introduced. As the archi-tectural backbone of the Semantic Web, the Semantic Web Layer Cake is introduced and the relevance of the different languages is discussed.

Applying these foundations, four levels of Semantic Content Management that are in the focus of the IKS project are addressed. According to the four layers of the IKS Stack, we de-scribe the "Storing and Accessing of Semantic Data", i.e. the way meta data (knowledge) is stored and queried. Standards and techniques for the extraction of semantic data from con-tent (semantic lifting) are explicated and the design of complex knowledge domains and rea-soning about it is introduced. Finally, the presentation of knowledge to the user and a new way on interacting with content are described. Beside the specification of semantic content, an important focus of the IKS project is the in-vestigation of Methodologies for Developing Semantic CMS. A requirements elicitation process for semantic CMS is taught as well as a reference architecture that can be used to build a semantic CMS from scratch or to conceptually semantify a "traditional" CMS. The ac-tual extension of traditional CMS, e.g. by IKS services is also explained. Extending the usual understanding of CMS as software systems, we introduce a case study of an intelligent bath-room. Using this case study, a design methodology for knowledge-supported ubiquitous in-formation systems is presented. The curriculum is depicted in Figure 2.

Introduction of Content

Management

Foundations of Semantic

Web Technologies

Storing and Accessing

Semantic Data

Knowledge Interaction

and Presentation

Knowledge Representation

and Reasoning

Semantic Lifting

Designing Interactive

Ubiquitous IS

Requirements Engineering

for Semantic CMS

Designing

Semantic CMS

Semantifying

your CMS

Part I: Foundations

Part II: Semantic Content

Management

Part III: Methodologies

(2)(1)

(3)

(4)

(5)

(6)

(7)

(8)

(9)

(10)

Figure 2: Curriculum of IKS training material

3 Curriculum

In order to make the training material usable as a “stand-alone” course, a curriculum is de-fined. In this curriculum, an order for the different lectures is set. Addressing the identified topics illustrated above, the curriculum is structured as follows: Course Overview & Introduction introduces the presenter, provides organizational details and gives an overview about the course structure. The slides are very generic to be adapt-able to the actual course that is given. In order to introduce the main ideas of the project, a slideset about the IKS project is provided. Foundations aim for imparting the required foundations for the following lectures. The sec-tion introduces content management in general by motivating the need of CMS and gives an overview about relevant terms in this domain. Identified shortcomings of "traditional" CMS are pointed out. The vision of the Semantic Web is introduced and the underlying technolo-gies are explained. Basic languages like RDF and OWL are introduced as a foundation for the application of these technologies in the domain of semantic content management. Semantic Content Management presents different application areas for semantic technolo-gies in the field of content management. Starting with storing and accessing semantic data, approaches for semantic lifting and the ontology languages for the representation of knowl-edge are explained. Finally, semantic based interaction with content and the appropriate presentation of content is addressed. Methodologies for Developing Semantic CMS gives an overview about challenges and best practices for building semantic CMS from the software engineering perspective. This in-cludes the requirements engineering for semantic CMS, requirements for the architecture of such systems and a systematic approach for semantifying a “traditional” CMS with semantic capabilities is explained. A design methodology for ubiquitous information systems is intro-duced. The resulting lectures for the different topics are listed in the following.

Course Overview & Introduction

Welcome, Organization and Overview - General overview about the topics ad-dressed in this course

Interactive Knowledge - The IKS Vision behind the project and current state-of-play

Part I: Foundations

Lecture 1 - Content Management - Efficient ways for working with unstructured con-tent

Lecture 2 - The Semantic Web - The vision of the Semantic Web and underlying technologies

Part II: Semantic Content Management

Lecture 3 - Semantic Based Interaction and Presentation of Content - Interaction with content on the level of the user’s knowledge

Lecture 4 - Design of Ontology and their Usage for Building Semantic Applica-tions - Knowledge design and current-state of using an ontology in semantic content management

Lecture 5 - Extracting Semantic Information from Content (Semantic Lifting) - Semantic reengineering of structured content and semantic enhancement

Lecture 6 - Storing and Accessing Semantic Data - Storing formats and querying approaches for semantic data

Part III: Methodologies for Developing Semantic CMS

Lecture 7 - Requirements Engineering for Semantic CMS - Elicitation and specifi-cation of requirements for semantic CMS

Lecture 8 - Designing Semantic CMS - Designing semantic CMS from scratch or conceptually enhance a CMS with semantic capabilities

Lecture 9 - Semantifying your CMS - Integrate semantic services to a "traditional" CMS

Lecture 10 - Designing Interactive Ubiquitous IS - A methodology for the design of interactive knowledge-supported Ubiquitous Information Systems (UIS)

4 Training Material

In this section, an overview about the provided training material is given. The following table shows all topics and the different types of training material that are available for this topic. Basically, four kinds of material have been created:

In order to ease the integration of lectures into existing courses, the required skill levels for each lecture are stated. Since the training material (and the IKS project) addresses the per-spectives of two different research areas 1.) software engineering and 2.) experts in knowl-edge engineering focusing on IE/IR and semantic technologies. For this purpose, the required skill level is refined to these two research fields. The levels of the required skills are measured by a simple metric:

No previous knowledge required.

Basic understanding about the important terms and their meaning is required.

Advanced knowledge in the domain is re-quired.

A detailed and deep knowledge about the concepts is required.

SL Short lecture

L Lecture

E Exercise

T Tutorial

4.1 Overview about IKS Lectures

Topic Description Type Planned Duration (minutes)

Required Skill Level

Software Engineering

IE/IR and Semantic

Technologies

Interactive Knowledge The IKS Vision behind the project and current state-of-play

SL 20

Content Management Efficient ways for working with unstructured content SL 20

The Semantic Web

The vision of the semantic web and basic technolo-gies.

L 90

Ontology description languages for modelling com-plex knowledge domains.

L 90

Knowledge Interaction and Presentation

Interaction with content on the level of the user’s knowledge.

L 90

T 60

E 60

Knowledge Represen-tation and Reasoning

Knowledge design and current-state of using ontology in semantic content management.

L 120

Semantic Lifting Semantic reengineering of structured content and semantic enhancement.

L 90

E 60

Storing and Accessing Semantic Data

Storing formats and querying approaches for seman-tic data.

L 90

E 60

Requirements Engi-neering for Semantic CMS

Elicitation and specification of requirements for se-mantic CMS.

L 90

E 60

Designing Semantic CMS

Designing semantic CMS from scratch or conceptu-ally enhance a CMS with semantic capabilities.

L 90

The usage of the architectural style REST to design web-based, semantic CMS.

L 90

Semantifying your CMS Integrate semantic services to a "traditional" CMS.

L 90

E 60

Designing Interactive Ubiquitous IS

A methodology for the design of interactive knowl-edge-supported Ubiquitous Information Systems (UIS).

L 2 x 90

E 90

4.2 Lecture Descriptions

In this section, the different lectures are described in more detail. The different contents that are addressed in the lectures and the required knowledge are explained. Educational objec-tives that imparted are listed. Additional literature is provided for further reading.

Lecture 1 - Content and Knowledge Management

Title

Content and Knowledge Management Description

In this module, an overall motivation for CMS/KMS should be given. Furthermore, general concepts and characteristics of content and knowledge management sys-tems are introduced. Application areas are described and illustrated by demos of ex-isting CMS/KMS presenting "traditional" and "semantic" functionalities.

Structure of Contents

Motivating example on content management --> What are the challenges on content management?

Definition and scoping of relevant terms in the content management domain

Introduce CMS and their ability to face the introduced challenges

Shortcomings of traditional CMS vs. semantic CMS

Actual value of semantic CMS

Present state-of-the-art of content management tools (Link to motivating example) Previous Knowledge and Requirements

General understanding of information systems

First experiences with content and knowledge management systems would be helpful Educational Objectives

Imparting of knowledge about theoretical foundations

Introduce the foundations on terms like content, information and knowledge

State-of-the-art in content and knowledge management

Imparting of the practical value of Semantic Content Management

What are the main challenges on the management of content and in which way are these challenges addressed by semantic functionalities?

Provide an overview about existing CMS/KMS Organization, Media

Lecture with Powerpoint slides Literature

Stahl, F., & Maass, W. (2003). Content Management Handbuch. St. Gallen: NetA-cademy Press

Duration

Number of lectures: 1

Lecture 2 - The Semantic Web

Title

Semantic Web Technologies Description

In this module, the vision of the Semantic Web is introduced and an overview about Semantic Web technologies are given. They include a discussion on the semantic web layer cake, and description of the characteristics and purposes of the main lan-guages and models such as RDF, OWL, SPARQL, etc. Furthermore, a number of semantic web applications are shown.


Short history of evolution of the Web

Semantic Web vision and challenges

Semantic Web Layer cake, terminology

Introduction to RDF, OWL

Linked Data and Ontology

State of the art of Semantic Web applications Previous Knowledge and Requirements

Basic knowledge on Web protocols and standards such as URI and XML

Basic knowledge in logics and database Educational Objectives

Communicating knowledge about the Semantic Web reality

Introducing terminology and the main models and languages

State of the art in semantic web technologies

Communicating the potential practical impact of Semantic Web

Existing applications

Main current challenges Contents of examination

Interactive exercise: assessment of understanding and knowledge about Semantic Web state of the art, main languages and models, and main challenges

Organization, Media

Lecture with slides and tool demos (semantic web applications including a number of IKS demos)

Literature

Christian Bizer, Tom Heath, and Tim Berners-Lee. Linked Data - The Story So Far. International Journal on Semantic Web and Information Systems, Vol. 5, Nr. 3 (2009) , p. 1-22.

Tim Berners-Lee, James Hendler, and Ora Lassila. The Semantic Web. Scientific American, Vol. 284, Nr. 5 (May 2001) , p. 34-43.

Duration


Lecture 3 - Semantic Based Interaction and Presentation of Content

Title Knowledge Interaction and Presentation

Description

The lesson will give an overview on current standards and technologies for semantic based interaction and presentation of content. In the lesson the audience will be guided through application possibilities and interaction patterns in the context of CMS systems. The IKS related work in the field will be presented and a short introduction to IKS tools will be offered in form of tutorials.

Structure of Contents Introduction

Semantic Web: Interaction with Content Standards (RDF, RDFa, JSON-LD, …)

Semantic Interaction Patterns What are patterns? List of patterns

Applications and Implementations Tutorial(s) Previous Knowledge and Requirements

Knowledge about basic technologies (HTML5, JavaScript, RDFa) Basics on CMS workflow

Educational Objectives

Knowledge about state of the art technologies in the field of interaction with web con-tent

Techniques for embedding interaction with knowledge content on web application Ability to work with IKS tool concerning interaction with knowledge and content

Contents of examination

See educational objectives Organization, Media

Lecture with powerpoint slides Literature

RDFa in XHTML: Syntax and Processing, W3C Recommendation, October 18, 2008, Ben Adida, Mark Birbeck, Shane McCarron, Steven Pemberton, eds.

RDFa Primer, W3C Working Group Note, October 14, 2008, Ben Adida, Mark Bir-beck, eds.

RDFa API, W3C Working Draft 19 April 2011, Nathan Rixham, Mark Birbeck, Ivan Herman

JSON-LD (JavaScript Object Notation for Linked Data) http://json-ld.org/ VIE — Vienna IKS Editables

Duration

Number of lectures: 1 Number of exercises: 2

http://json-ld.org/

Lecture 4 - Design of Ontologies and their Usage for Building Semantic Appli-cations

Title Knowledge Representation and Reasoning

Description

This module focuses on three main aspects: (i) presenting a number of existing on-tologies such as DOLCE, FOAF, SKOS, and ontology design patterns, (ii) showing how to design ontologies by reusing existing resources and transforming them, (iii) showing how to use ontologies in CMS applications e.g for semantic mash-up.


Analysis of existing ontologies and their usage on Linked data Ontology design patterns Ontology design based on patterns, and refactoring of ontologies through Semion

rules Using ontologies for building semantic applications based on IKS.

Previous Knowledge and Requirements

Knowledge on RDF, OWL2, and ontology editors Knowledge on SPARQL


Providing students with the capability of designing ontologies, writing transformation rules, and developing semantic applications for CMS based IKS technologies.


Interactive exercise: assessment of knowledge about popular ontologies, capability to design an ontology, capability to write transformation rules, knowledge about IKS ser-vices for managing ontologies and rules.

Organization, Media

Lecture with slides and tool demos (rules, and ontonet related demos) Literature

Steffen Staab, and Rudi Studer (Eds.). Handbook on Ontologies, 2nd Edition. 2009, XIX, 811 p. 121 illus.

Valentina Presutti, and Aldo Gangemi. Content Ontology Design Patterns as Practical Building Blocks for Web Ontologies. In ER, Vol. 5231 Springer (2008), p. 128-141.

Andrea Giovanni Nuzzolese, Aldo Gangemi, Valentina Presutti, and Paolo Ciancarini. Semion: a smart triplification tool. In Proceedings of the 1st Workshop on Knowledge Injection into and Extraction from Linked Data (KIELD 2010), CEUR.

IKS deliverables of Task 5.2 Duration


Lecture 5 - Extracting Semantic Information from Content (Semantic Lifting)

Title Semantic Lifting of Traditional Content Resources

Description

The concept and role of semantic lifting will be explicated with respect to semantic reengineering of structured content and with respect to semantic enhancements of content. An overview of standards and technologies will be presented.


Introduction: What is semantic lifting? Semantic reengineering Semantic enhancement Major tasks/requirements and scenarios for semantic lifting Publishing content with semantic information with focus on web content: Introduction

of standards like microformats and RDFa Extracting semantic metadata from published content Technologies for automatic semantic reengineering Technologies for information extraction and automated semantic enhancements of

textual content Exercises

1. Metadata Variants 2. Annotated Web Content 3. Reengineering 4. NER Evaluation 5. Lifting Workflow


Knowledge of RDF/OWL as Knowledge Representation Framework General understanding of the Semantic Web General knowledge about information systems and CMS


Knowledge of semantic metadata standards on the Web Knowledge of the use of semantic information on the Web Overview knowledge of technologies for automatic semantic annotation of content


What is semantic lifting? What technologies exist for semantic lifting? Metadata standards for publishing semantic information on the web: Microfor-

mats/RDFa Use of semantic information on the Web

Organization, Media

Lecture with slides; Stanbol Demos: Metaxa, NER, OpenCalais, …

Literature Microformats: http://microformats.org/ RDFa: http://www.w3.org/TR/xhtml-rdfa-primer/ Google Rich Snippets:

http://googlewebmastercentral.blogspot.com/2009/05/introducing-rich-snippets.html Linked Data: http://linkeddata.org/guides-and-tutorials Linked Data: Heath and Bizer, Linked Data: Evolving the Web into a Global Data

Space. Morgan & Claypool, 2011. (Online: http://linkeddatabook.com/book) Information Extraction: Moens, Information Extraction: Algorithms and Prospects in a

Retrieval Context. Springer 2006 Text Mining: Feldman and Sanger, The Text Mining Handbook: Advanced Ap-

proaches in Analyzing Unstructured Data, CUP, 2007 Duration


http://microformats.org/

http://www.w3.org/TR/xhtml-rdfa-primer/

http://googlewebmastercentral.blogspot.com/2009/05/introducing-rich-snippets.html

http://linkeddata.org/guides-and-tutorials

http://linkeddatabook.com/book

Lecture 6 - Storing and Accessing Semantic Data

Title

Semantic Data Access Description

In this lesson, varied methods for semantic data access will be presented. These methods are mainly composed of accessing semantic data stored in a triple store and accessing semantic data stored in various places and connected each other through URI links (linked data). Based on these two main concepts, this lesson introduces tri-ple stores and some main semantic data formats like RDF and OWL. For querying semantic data SPARQL query language is also explained in the scope of this lesson. Furthermore, how custom applications are has been used over linked data or triple stores will be illustrated.


Introduction to semantic data

Concept definitions about semantic data

Representation of semantic data

Semantic data formats

Querying semantic data

SPARQL query language

Triple stores

Overview about triple stores

Example triple stores and access mechanisms

Linked data

Open Link Data Cloud

Accessing the data in the cloud

Example semantic data applications Previous Knowledge and Requirements

Basic Knowledge of RDF Educational Objectives

Knowledge about general concepts of semantic data and semantic web

Knowledge about semantic data representation

Know-how on current triples stores and accessing data within them

Knowledge on Linked Data Cloud and ability to query information from the cloud Contents of examination

RDF data access by SPARQL or other formats such as Notation 3 Organization, Media

Lecture with powerpoint slides

Demo of Store component of Apache Stanbol

Exercise: Semantic data access using Jena

Exercise: Semantic data access from linked data cloud using SPARQL

Literature

Kevin Wilkinson, Craig Sayers, Harumi A. Kuno, Dave Reynolds: Efficient RDF Stor-age and Retrieval in Jena2. 131-150, SWDB 2003

BROEKSTRA, J. - KAMPMAN, A. - van HARMELEN, F.: Sesame: A Generic Archi-tecture for Storing and Querying RDF and RDF Schema. ISWC 2002, LNCS, Volume 2342/2002, pp. 54-68

ONTOLOGY STORAGE AND QUERYING - TECHNICAL REPORT No 308 April 2002. Survey of Ontology querying from ICS-FORTH (http://139.91.183.30:9090/RDF/publications/tr308.pdf)

SPARQL Tutorial (http://www.slideshare.net/ldodds/sparql-tutorial) Duration


Number of exercises: 1

http://139.91.183.30:9090/RDF/publications/tr308.pdf

http://www.slideshare.net/ldodds/sparql-tutorial

Lecture 7 - Requirements Engineering for Semantic CMS

Title Specifying requirements for semantic CMS

Description

In this lesson, requirement elicitation process to enhance any content management system semantically will be taught. In very high level, main concepts needed to pro-vide this enhancement are determined as high level requirements and these high level requirements will be explained with the justification of necessity to provide se-mantic services on top of content management systems.

Structure of Contents Traditional CMS vs Semantic CMS Requirements specification process High level requirements:

Architecture and integration Common vocabulary Semantic lifting & tagging Semantic search & semantic query Reasoning on content items Links/relations among content items Workflows Change management, versions and audit Multilingualism Security


General knowledge about content management systems General knowledge about semantic data General knowledge about requirement analysis in scope of software engineering


Know-how on requirement elicitation process in a software project Knowledge on semantic concepts such as semantic lifting, reasoning, etc.


Assessment of comprehension of the requirements of a semantically enabled content management system

Organization, Media

Lecture with powerpoint slides Literature

Deliverable produced in the scope of Task2.2 of IKS Project Duration


Lecture 8 - Designing Semantic CMS

Title

Designing Semantic CMS Description

In this lesson, modelling approaches and architectural concepts for designing seman-tic CMS are introduced. A conceptual reference architecture for semantic content management systems is presented. Addressing the domain specific needs of CMS with respect to the provision of semantic functionalities the different layer of the archi-tecture are introduced. Using different levels of abstraction, the layers are decom-posed to modules and components providing capsulated functionality. In addition to the reference architecture as a solution, methodologies for designing reference archi-tectures for specific domains. As an architectural style for the design of a web-based, semantic CMS, the REST architecture and the underlying technologies and concepts are introduced.


Motivate the need for a reference architecture for semantic CMS. What are the char-acteristics of semantic CMS that make it necessary or desirable to design such a ref-erence architecture.

Present high-level functionalities (e.g. semantic lifting, reasoning, ..) and their consid-eration and integration in different layers of the architecture

Refine layers and provide detailed descriptions of modules and components Introduce exemplary implementation of the reference architecture (ID|SE project) What does the REST architecture looks like and what are the basic concepts of a Re-

source Oriented Architecture (ROA)? Application examples for REST APIs and how they can be used practically.


A detailed knowledge about CMS in general and the characteristics and capabilities of semantic CMS.

Foundations of software engineering and an understanding of the objectives of soft-ware architectures in the engineering process

Basic understanding of architecture description languages and the most popular graphical notations (UML)

Educational Objectives Imparting of knowledge about reference architectures in general

What are reference architectures and what are the actual values of domain-specific reference architectures?

What are appropriate notations for describing reference architectures. Imparting of knowledge about reference architectures in the domain of semantic CMS

In which way does the presented reference architecture support the development of semantic CMS?

Imparting of knowledge about architectural styles for semantic CMS

What are the basic technologies for REST architectures? Contents of examination

Components of the reference architecture and differences to “traditional” CMS archi-tectures

Characteristics of REST architectures

Organization, Media

Lecture with Powerpoint slides Literature

Fabian Christ, Benjamin Nagel: A Reference Architecture for Semantic Content Man-agement Systems. In M. Nüttgens, O. Thomas, B. Weber (eds.): Proceeding of the Enterprise Modelling and Information Systems Architectures Workshop 2011 (EMISA’11), Hamburg (Germany). GI, LNI, vol. P-190, pp. 135-148 (2011)

Duration


Lecture 9 - Semantifying your CMS

Title Semantifying your CMS

Description

In this lesson, how an existing content management system can benefit from the ser-vices developed in the scope of Interactive Knowledge Stack project that to be capa-ble of dealing with semantic data is described. In general, the lesson will contain the methodology to express formally the implicit semantics that is formed by the content management system users while defining the content items and their properties.

Structure of Contents Structure of content management systems

Analysis of JCR and CMIS specifications Generic content model to cover all content management systems Example: Express content items in generic content model

Mapping between content management systems and ontology Ontology alignment Bridge definitions: Concept bridge Instance bridge Subsumption bridge Property bridge

Backend knowledge-base for content management systems Usage examples of formally expressed semantics of content management systems:

Search example using ontology alignment SPARQL example to query the generated ontology which is produced after process-

ing the bridge definitions. Previous Knowledge and Requirements

General knowledge about content management systems Basic knowledge about vocabularies such as OWL and RDFS Knowledge on SPARQL


Knowledge about structure of content management systems Knowledge about specifications (JCR, CMIS) that allows uniform accessing to con-

tent management systems Practice on querying data from triple stores using SPARQL


RDF data access by SPARQL Organization, Media

Lecture with powerpoint slides Demo of CMS Adapter component of Apache Stanbol

Literature

G.B. Laleci, G. Aluc, A. Dogac, A. Sinaci, O. Kilic, F. Tuncer, A Semantic Backend for Content Management Systems, Knowledge-Based Systems (2010), doi: 10.1016/j.knosys.2010.05.008

http://www.sciencedirect.com/science/article/pii/S0950705110000894

http://www.sciencedirect.com/science/article/pii/S0950705110000894

Duration


Lecture 10 - Designing Interactive Ubiquitous IS

Title Designing Interactive Knowledge-supported Ubiquitous Information Systems Description The lesson consists of 1 lecture and 4 exercises. In the lecture, a methodology is presented for the design of interactive knowledge-supported Ubiquitous Information Systems (UIS). Each step of the method is exemplified by its application in the IKS AmI use case. In addi-tion, students learn how to design UIS by 4 exercises. Within the formalization of system de-sign, it is shown how IKS helps to develop the knowledge representation of the resulting UIS and to handle interactive knowledge. Structure of Lecture 1. Designing information systems by means of design methods 2. Design Method for Interactive Knowledge-supported Ubiquitous Information Systems

Task 1 - Identification of Problem and Needs & Application in IKS Task 2 - Derivation of situations (narrative conceptual models) & Application in IKS Task 3 - Derivation of diagrammatic conceptual models & Application in IKS Task 4 - Evaluation of diagrammatic conceptual models & Application in IKS Task 5 - Derivation of formal propositional conceptual models & Application in IKS Task 6 - Formalization of system design based on IKS & Application in IKS Task 7 - Implementation of formalized system design based on IKS & Application in

IKS Task 8 - Evaluation of solution

3. Wrap-Up and Outlook Exercises

A: How to generate descriptions of usage situations of IK-supported IS? B: Derivation of diagrammatic conceptual models based on usage situations C: Semantic modeling of diagrammatic conceptual models D: Formalization of system design based on diagrammatic conceptual models and

IKS Previous Knowledge and Requirements

Knowledge about semantic technologies, knowledge representations; experience in modeling ontologies with editor

Knowledge about empirical methods Educational Objectives

Systematic application of a design methodology for IK-supported information systems Systematic application of IKS in design and implementation of UIS Usage of conceptual models as requirements within the system design Semantic modeling of conceptual models Designing knowledge representations for UIS


Definition of usage situations Derivation of diagrammatic and formal conceptual models Formalization of system design based on IKS

Organization, Media Lecture: Design of interactive knowledge-supported Ubiquitous Information Systems

(UIS) Exercise A-D Media: Slides, paper-/handicraft work

Literature

Maass, W. & Janzen, S.: Pattern-Based Approach for Designing with Diagrammatic and Propositional Conceptual Models, 6th International Conference on Design Sci-ence Research in Information Systems and Technology (DESRIST 2011), Milwaukee, Wisconsin, USA, 2011.

Janzen, S., Kowatsch, T. & Maass, W.: A Methodology for Content-Centered Design of Ambient Environments, DESRIST 2010: Global Perspectives on Design Science Research, St. Gallen, Switzerland, 2010.

Maass, W. & Varshney, W.: A Framework for Smart Healthcare Situations and Smart Drugs. SIG-Health Pre-AMCIS Workshop at the 15th Americas Conference on Infor-mation Systems (AMCIS 2009). San Francisco, USA.

cf. the lecture slides below for further publications Duration


Iks d73-teachers handbook-v12

Documents

Transcript of Iks d73-teachers handbook-v12