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Contents

Course Introduction

TDT44 Semantic Web: a Specialization module complementary to TDT4175 Information Systems. Other IS modules can be found here.

TDT44 will be taught by Rune Sætre in the fall 2017. 

We will use the following book: https://link.springer.com/book/10.1007/978-3-319-45654-6 (free for NTNU students)

News

DateTopic
2017.09.09TDT44 will start on 19/9, at 12 o'clock, room ITV-242
2017.07.09TDT44 will be taught in the autumn 2017

Readings in TDT44 Semantic Web (2017)

The book we will use is: Exploiting Linked Data and Knowledge Graphs in Large Organisations (amazon link).

Please order the book now, so you have it ready for the first class in September!

You can also download it for free on the NTNU-network from here: http://www.springer.com/br/book/9783662437957

You may also read two papers, on Logics and Turtle, and a student found this paper:

 The Unreasonable Effectiveness of Data.pdf is not really about the Semantic Web, but I post it here as a good read for those who like that.

Students 2017

 

NameEmailOther Tsstartsluttleverttid%
Bø, Kristian Elsetkristieb@stud.ntnu.noTDT76x    

Ek, Lars Martin Bævre

larek@stud.ntnu.noTDT02x    

Espenakk, Erik 

erikespe@stud.ntnu.noTDT39x    

Fosvold, André 

andrfo@stud.ntnu.noTDT76x    
Iden, Mathiasmathiaid@stud.ntnu.noTDT13x    
Jensen, Eirik Tvedteiriktj@stud.ntnu.noTDT63x    

Kjekstad, Nina 

ninakjek@stud.ntnu.noTDT76x    

Knalstad, Magnus Johan 

magnusjk@stud.ntnu.noTDT39x    

Kristiansen, Tommy 

tomkri@stud.ntnu.noTDT22     
Liahagen, Martinmartlia@stud.ntnu.noTDT76x    

Reknes, Elida Karina 

elidakr@stud.ntnu.noTDT76x    
Roligheten, Christian Barthchribrol@stud.ntnu.noTDT46x    

Rynning-Tønnesen, Kasper 

kasperr@stud.ntnu.noTDT46x    
Stenberg, Erlend Stopleerlensst@stud.ntnu.noTDT13x    

From complete list on https: //www.idi/intra/teaching/theorymodule_participants.php? Code = TDT44

 

 Old News: Click here to expand...
DateTopic
2016.10.25TDT44 Individual Essay Assignment 2016 released
2016.08.31The welcome lecture will be on Friday, 9.30am, September 2nd, in room ITV-354 (IT building). See you there (smile)
2016.08.16TDT44 will be taught in the autumn 2016.
2015.11.19Vi er blitt bedt om å flytte oss fra 454 til 242 den siste onsdagen dette semesteret, nemlig 25/11-20215, så da gjør vi det.
2015.10.22TDT44 Individual Essay Assignment 2015 released

 

OLD STUFF

 

Oral Exam (2016)

 

Write an essay on essay on a given topic. There will be a brief oral examination, presenting your essay.
Date: 30th November 2016, 20 minutes, between 0830 and 1700.
Place: ITV-114. Time: See student table below.

 

From https://innsida.ntnu.no/.../Specialization+Information+Systems (or in Norwegian https://innsida.ntnu.no/.../Fordypning+i+datateknologi).
Examination takes place as follows: Attendance schedule for students sent by email (username@stud) and posted on the bulletin board outside the reception at IDI.
First examination may start as early as 08:00.Each exam takes 5-20 minutes. If you fail or have valid reason for not showing up, a continuation exam will be held in August the following year.
Note especially the following matters regarding the theory modules: The Specialization project must be passed in order to be able to start the Master Thesis work.


Schedule (2017)

DateTitlePresentersTopicSlides
2017.09.19IntroRuneBoka 
 Enterprise Knowledge Graph: An Introduction

Kristian EB

Nina K

1

2

 
  

Christian R

Mathias

3

4

 
  

Erlend

Elida

5

6

 
  

Martin Ek

Martin L

7

8

 
   9 
     

 

Schedule (2016)

DateTitlePresentersTopicSlides
2016.09.02Introductory meeting from 9.30 to 11.30 in room ITV-454. Alle - ErlendRuneIntroCourse Introduction
TDT44-Intro.pdf 
2016.09.16

Part 1: Core of the Semantic Web. Alle -

1: Bård, Mei
2: Espen
3: Mats

SemWeb Idea
RDF
RDFa GRDDL 

1: https://docs.google.com/presentation/d/1fxCihG0pQcGUGRUvTIhNQsDexlrcZR9n3F-WV1swKiE/edit?usp=sharing
2: TDT44 Semantic web chapter 2.pptx
3: https://drive.google.com/open?id=1VH9u_bOHMDUuEjQVBiqQJYXYlAt5OOgRyefgKmFonCI

2016.09.30Alle - Mei, Erlend, Torstein, Tommy4: Kieu
5: Christian
6: Daniel
RDFS
OWL
SPARQL

4:https://docs.google.com/presentation/d/1tvmDzDAJjo9XUvc_8NpU01MMAkAVHZgmaKJDBKgAu-o/edit?usp=sharing
5: Web Ontology Language.pptx
6: SPARQL.pdf

NB!

2016.10.17

Part 2: Applied Semantic Web
kl 15-17, ITV-354 (New day and time!)
Alle - Mei, Daniel

7: Christoffer, Erlend
8: Torstein
9: Tommy K

FOAF
DBpedia
Linked Open Data 

7: FOAF presentation
8:DBpedia presentation
9:Linked Open Data

NB!

2016.10.27

kl 1230-1430, ITV-454 (Thursday, new time and place: ITV-454)

-Erlend

10: Eirik
11: Frederik
12: Anders

 

10: Kap. 10- Schema.org and Semantic Markup.pdf
11: PresentasjonSocialNetworksSemWeb271016.pdf
12: data.gov + WikiData

2016.11.11Part 3: Building Your Own Applications on the Semantic WebJobbe  
2016.11.25kl 0930-1200. ITV-354

Presentations

  • Eirik
  • Bård
  • Erlend
Hand in ALL projectsEmail to satre@ and jag@ idi.ntnu.no.
2016.11.3020 minutter muntlig eksamen på ITV-104ALLE  

Teachers (2011-2017)

Associate Professor Rune Sætre (teacher), satre at idi.ntnu.no, room  ITV-104
(Examiner: Professor Jon Atle Gulla, jag at idi.ntnu.no, room  ITV-114)

TDT44 Individual Essay Assignment 2016

External links

Part 1 and part 2 of this tutorial can be relevant for our class:

 

 

1: Enterprise Knowledge Graph: An Introduction 

2: Knowledge Graph Foundations 
3: Knowledge Architecture for Organisations 
4: Construction of Enterprise Knowledge Graphs(I) 
5: Construction of Enterprise Knowledge Graphs(II)* 
6: Understanding Knowledge Graphs 
7: Question Answering and Knowledge Graphs 
8: Success Stories 

9: Enterprise Knowledge Graph: Looking into the Future 

 

 

1 Enterprise Knowledge Graph: An Introduction ................. 1 Jose Manuel Gomez-Perez, Jeff Z. Pan, Guido Vetere and Honghan Wu 1.1 A Brief History of Knowledge Graph....................... 2 1.1.1 The Arrival of Semantic Networks ................... 2 1.1.2 From Semantic Networks to Linked Data .............. 3 1.1.3 Knowledge Graphs: An Entity-Centric View of Linked Data .................................. 4 1.2 Knowledge Graph Technologies in a Nutshell ................ 5 1.3 Applications of Knowledge Graphs for Enterprise ............. 5 1.4 How to Read This Book................................. 10 1.4.1 Structure of This Book ............................ 10 1.4.2 Who This Book Is For ............................ 12 1.4.3 How to Use This Book ............................ 12 Part I Knowledge Graph Foundations & Architecture 2 Knowledge Graph Foundations .............................. 17 Boris Villazon-Terrazas, Nuria Garcia-Santa, Yuan Ren, Alessandro Faraotti, Honghan Wu, Yuting Zhao, Guido Vetere and Jeff Z. Pan 2.1 Knowledge Representation and Query Languages ............. 18 2.1.1 RDF and RDFS ................................. 18 2.1.2 OWL.......................................... 26 2.1.3 SPARQL....................................... 30 2.2 Ontologies and Vocabularies ............................. 33 2.2.1 Some Standard Vocabularies........................ 34 2.2.2 schema.org ..................................... 38 2.3 Data Lifting Standards .................................. 39 2.3.1 RDB2RDF ..................................... 39 2.3.2 GRDDL ....................................... 48 xi 2.4 Knowledge Graph Versus Linked Data ..................... 51 2.5 Knowledge Graph for Web Searching and Knowledge Graph for Enterprise .................................... 52 3 Knowledge Architecture for Organisations ..................... 57 Ronald Denaux, Yuan Ren, Boris Villazon-Terrazas, Panos Alexopoulos, Alessandro Faraotti and Honghan Wu 3.1 Architecture Overview .................................. 58 3.2 Acquisition and Integration Layer.......................... 60 3.2.1 Ontology Development ............................ 60 3.2.2 Ontologisation of Non-Ontological Resources........... 61 3.2.3 Text Integration via Named Entity and Thematic Scope Resolution ................................ 62 3.2.4 Ontology Learning ............................... 64 3.3 Knowledge Storing and Accessing Layer .................... 65 3.3.1 Ontology-Based Data Access ....................... 65 3.3.2 RDF Stores ..................................... 69 3.3.3 Property Graph-Based Stores ....................... 73 3.3.4 Conclusion: Storing Knowledge Graphs Versus Relational Databases .............................. 75 3.4 Knowledge Consumption Layer ........................... 77 3.4.1 Semantic Search ................................. 77 3.4.2 Summarisation................................... 78 3.4.3 Query Generation ................................ 80 3.4.4 Question Answering .............................. 81 3.4.5 Conclusion ..................................... 83 Part II Constructing, Understanding and Consuming Knowledge Graphs 4 Construction of Enterprise Knowledge Graphs (I) ............... 87 Boris Villazon-Terrazas, Nuria Garcia-Santa, Yuan Ren, Kavitha Srinivas, Mariano Rodriguez-Muro, Panos Alexopoulos and Jeff Z. Pan 4.1 Knowledge Construction and Maintenance Lifecycle ........... 88 4.2 Ontology Authoring: A Competency Question-Driven Approach ............................................ 93 4.2.1 Competency Questions ............................ 94 4.2.2 Formulation of Competency Questions ................ 96 4.2.3 Ontology Authoring Workflow ...................... 98 4.3 Semi-automated Linking of Enterprise Data for Virtual Knowledge Graphs..................................... 104 4.3.1 Virtual Knowledge Graph for Knowledge Discovery ..... 104 4.3.2 Semantic Tagging and Data Interlinking ............... 106 xii Contents 4.3.3 Usage Scenarios ................................. 109 4.3.4 Conclusion ..................................... 116 5 Construction of Enterprise Knowledge Graphs (II)* ............. 117 Panos Alexopoulos, Yuting Zhao, Jeff Z. Pan and Man Zhu 5.1 Scenario-Driven Named Entity and Thematic Scope Resolution of Unstructured Data*.......................... 117 5.1.1 Framework Description ............................ 118 5.1.2 Framework Application Evaluation ................... 123 5.2 Open-World Schema Learning for Knowledge Graphs* ......... 126 5.2.1 Motivation...................................... 126 5.2.2 BelNet þ ....................................... 128 5.2.3 TBox Learning as Inference ........................ 133 5.2.4 A Novel Evaluation Framework ..................... 133 5.2.5 Experiments .................................... 136 5.2.6 Experimental Results.............................. 139 5.2.7 Related Work and Summary ........................ 144 5.2.8 Conclusion ..................................... 145 6 Understanding Knowledge Graphs ........................... 147 Honghan Wu, Ronald Denaux, Panos Alexopoulos, Yuan Ren and Jeff Z. Pan 6.1 Understanding Things in KGs: The Summary of Individual Entities .............................................. 149 6.1.1 Entity Data Organisation ........................... 150 6.1.2 Summarisation of Entity Data ....................... 156 6.1.3 Conclusion ..................................... 157 6.2 Exploring KGs: The Summary of Entity Description Patterns .... 157 6.2.1 What Is the Entity Description Pattern? ............... 159 6.2.2 How Can the Entity Description Pattern Help in Knowledge Exploitations?.......................... 161 6.2.3 Conclusion ..................................... 163 6.3 Profiling KGs: A Goal-Driven Summarisation ................ 164 6.3.1 Motivating Scenario and Problem Definition............ 164 6.3.2 Framework Description ............................ 164 6.3.3 Implementation .................................. 166 6.3.4 Application Example.............................. 169 6.3.5 Conclusion ..................................... 171 6.4 Revealing Insights from KGs: A Query Generation Approach* ........................................... 171 6.4.1 Candidate Insightful Queries........................ 174 6.4.2 Query Generation Framework ....................... 177 6.4.3 Evaluation of the Query Generation Method............ 178 6.4.4 Conclusion and Future Work ....................... 180 Contents xiii 7 Question Answering and Knowledge Graphs ................... 181 Alessandro Moschitti, Kateryna Tymoshenko, Panos Alexopoulos, Andrew Walker, Massimo Nicosia, Guido Vetere, Alessandro Faraotti, Marco Monti, Jeff Z. Pan, Honghan Wu and Yuting Zhao 7.1 Question Answering over Text Documents................... 182 7.1.1 Realising a QA System: Approaches and Key Steps...... 182 7.2 Question Answering over Knowledge Graphs ................ 189 7.2.1 State-of-the-Art Approaches for Question Answering Over Knowledge Graphs........................... 190 7.2.2 Question Answering in the Enterprise ................. 193 7.3 Knowledge Graph and Watson DeepQA .................... 196 7.3.1 What Is Watson DeepQA? ......................... 196 7.3.2 What Are the Knowledge Graphs Used in Watson DeepQA? ...................................... 198 7.3.3 How Knowledge Graphs Are Used in Watson DeepQA? ...................................... 199 7.3.4 Lessons Learnt from Watson DeepQA ................ 201 7.4 Using Knowledge Graphs for Improving Textual Question Answering* .......................................... 202 7.4.1 A Flexible QA Pipeline............................ 202 7.4.2 Exploiting External Knowledge (Graphs) for Re-ranking................................... 204 7.4.3 Evaluation: Impact of Knowledge Graphs in Semantic Structures............................. 209 7.4.4 Conclusion ..................................... 212 Part III Industrial Applications and Successful Stories 8 Success Stories............................................ 215 Marco Monti, Fernanda Perego, Yuting Zhao, Guido Vetere, Jose Manuel Gomez-Perez, Panos Alexopoulos, Hai Nguyen, Gemma Webster, Boris Villazon-Terrazas, Nuria Garcia-Santa and Jeff Z. Pan 8.1 A Knowledge Graph for Innovation in the Media Industry ...... 216 8.1.1 The Business Problem............................. 216 8.1.2 The HAVAS 18 Knowledge Graph................... 217 8.1.3 Value Proposition ................................ 218 8.1.4 Challenges...................................... 219 8.2 Applying Knowledge Graphs in Cultural Heritage ............. 219 8.2.1 Digital Cultural Heritage and Linked Data ............. 219 8.2.2 The Challenges .................................. 220 8.2.3 The CURIOS Project ............................. 221 8.2.4 Constructing the Knowledge Graph .................. 223 xiv Contents 8.2.5 CURIOS—A Linked Data Adaptor for Content Management Systems ............................. 224 8.2.6 Presenting and Visualising Cultural Heritage Knowledge Graphs ............................... 225 8.2.7 Collaborative Construction and Maintenance of Cultural Heritage Knowledge Graphs ............... 228 8.3 Applying Knowledge Graphs in Healthcare .................. 228 8.3.1 The Problem in Clinical Practice Guidelines............ 229 8.3.2 Preparing the Data and Building the Knowledge Graphs ........................................ 230 8.3.3 Services Based on the Knowledge Graphs ............. 233 8.3.4 Contributions to Healthcare Practice .................. 235 9 Enterprise Knowledge Graph: Looking into the Future...

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