Conference Program

Monday Tuesday Wednesday

th th th June 25 ,​ 2018 June 26 ,​ 2018 June 27 ,​ 2018 ​ ​ ​

Registration Registration Session 5 Amf 1 Conference Opening – Keynote Session 6 ​ Keynote speaker WASA 2018 - Machine 8th Workshop Sören Auer Learning and Keynote speaker on Data Mining Applications of Dunja Mladenic Software Session 3 Session 4 Agents Semantic Business

Coffee break Search, Information Information Management Retrieval and and WIMS Linked Data Applications Coffee break

Session 1 Coffee break Session 7 Session 8 Web Intelligence and Text Mining Tutorial Link Discovery WIMS and Named Applications in Miloš Radovanović Entity Linking Education and E-learning Hubs in Nearest-Neighbor Graphs: Origins, Applications and Challenges Lunch

Lunch Lunch

Keynote speaker

Ngoc-Thanh Nguyen Tutorial Session 9 Youcef Djenouri and Arthur Session 2 – BigData 2018 Zimek Social Media Analytics and ​ ​ ​ Recommender Systems Outlier Detection in Urban Traffic Data Coffee break

Session 2 Coffee break Tutorial – Miloš Savić Analysis of An​ no​ tated Social and BigData 2018 Information Networks: Methods and Applications

Tutorial Tutorial 65/3 Closing ​ Panagiotis Symeonidis Krisztian Buza Contextual-Aware Recommender Systems based on Matrix/Tensor Decompositions Time Series Classification and and Random Walks on Graphs its Applications

City tour

Welcome reception Conference dinner

th Monday (June 25 ,​ 2018) ​

8:30 – 9:00 Registration

9:00 – 9:30 Conference Opening – Keynote, Rajendra Akerkar and Mirjana Ivanović – Amf 1

9:30 – 10:30 Keynote speaker – Dunja Mladenic (chair: Bela Stantic) – Amf 1 Observing Global Social Dynamics through Event Monitoring

10:30 – 10:50 Coffee break

10:50 – 12:55 Session 1 – Web Intelligence and Text Mining (chair: Dunja Mladenic) – Amf 1

Eva Tuba, Raka Jovanovic, Romana Capor Hrosik, Adis Alihodzic and Milan Tuba. Web Intelligence Data Clustering ​ 10:50 – 11:15 by Bare Bone Fireworks Algorithm Combined with K-Means

Jernej Flisar and Vili Podgorelec. Document Enrichment using DBPedia Ontology for Short Text Classification ​ 11:15 – 11:40

Grega Vrbančič, Iztok Fister Jr. and Vili Podgorelec. Swarm Intelligence Approaches for Parameter Setting of Deep 11:40 – 12:05 Learning Neural Network: Case Study on Phishing Websites Classification

Carine Pierrette Mukamakuza, Dimitris Sacharidis and Hannes Werthner. Mining User Behavior in Social 12:05 – 12:30 Recommender Systems

Natalia Loukachevitch, Kirill Ivanov and Boris Dobrov. Thesaurus-Based Topic Models and Their Evaluation ​ 12:30 – 12:55

13:00 – 14:15 Lunch

14:15 – 15:15 Keynote speaker – Ngoc-Thanh Nguyen (chair: Costin Badica) – Amf 1 Collective Intelligence: An Influence Analysis of Diversity and Collective Cardinality on Collective Performance

15:15 – 17:30 Session 2 – BigData 2018 (chair: Ngoc-Thanh Nguyen) – Amf 1

Sunnyeo Park, Ryunhwan Kwon, Hyunjin Kim, John Ganser, Shinhye Yun and Anthony Smith. Forestry Monitoring ​ 15:15 – 15:40 System using LoRa and Drone

Phan Thanh Cong, Nguyen Thanh Toan, Nguyen Quoc Viet Hung, Bela Stantic. Minimizing Efforts in Reconciling 15:40 – 16:05 Participatory Sensing Data

16:05 – 16:20 Coffee break

Dejan Stantic, Jun Jo. Multiscale Wavelet Method for Heart Abnormality Detection Within IoTs Environment ​ 16:20 – 16:45

Jinyan Chen, Susanne Becken, Bela Stantic. Sentiment Analytics of Chinese Social Media Posts ​ 16:45 – 17:10

Ludovik Coba, Panagiotis Symeonidis, Markus Zanker. Replicating and Improving Top-N Recommendations in Open ​ 17:10 – 17:30 Source Packages

17:30 – 18:40 Tutorial – Panagiotis Symeonidis (chair: Aleksandra Klašnja-Milićević) – Amf 1 Contextual-Aware Recommender Systems based on Matrix/Tensor Decompositions and Random Walks on Graphs

18:40 – 20:10 City tour

20:10 Welcome reception

th Tuesday (June 26 ,​ 2018) ​

8:30 – 9:00 Registration

9:00 – 10:00 Keynote speaker – Sören Auer (chair: Arthur Zimek) – Amf 1 A knowledge graph for science

10:00 – 11:35 Session 3 – Semantic Search, Information Retrieval and Linked Data (chair: Jun Jo) – Amf 1

Jonas Halvorsen and Audun Stolpe. Towards practical federation of BGPs in the presence of blank nodes ​ 10:00 – 10:25

Jaroslav Melesko and Eugenijus Kurilovas. Semantic Technologies in e-Learning: Learning Analytics and Artificial 10:25 – 10:50 Neural Networks in Personalised Learning Systems

Ling Shi and Dumitru Roman. Ontologies for the Real Property Domain ​ 10:50 – 11:15

Guma Abdulkhader Lakshen, Valentina Janev and Sanja Vraneš. Challenges in Quality Assessment of Arabic 11:15 – 11:35 DBpedia

Session 4 – Business Information Management and WIMS Applications 10:00 – 11:35 (chair: Jovana Vidaković) – RC 2

Drazen Brdjanin, Danijela Banjac, Goran Banjac and Slavko Maric. An Online Business Process Model-driven ​ 10:00 – 10:25 Generator of the Conceptual Database Model

Jevgeni Marenkov, Tarmo Robal and Ahto Kalja. Guideliner – a Tool to Improve Web UI Development for Better 10:25 – 10:50 Usability

Leon Bošnjak and Boštjan Brumen. Improving the Evaluation of Shoulder Surfing Attacks ​ 10:50 – 11:10

Adela Ljajić, Milena Stanković and Ulfeta Marovac. Detection of negation in the Serbian language ​ 11:10 – 11:30

11:30 – 11:45 Coffee break

Tutorial – Miloš Radovanović (chair: Zoran Bosnić) – Amf 1 11:45 – 13:15 Hubs in Nearest-Neighbor Graphs: Origins, Applications and Challenges

13:15 – 14:30 Lunch

14:30 – 16:30 Tutorial – Youcef Djenouri and Arthur Zimek (chair: Miloš Radovanović) – Amf 1 Outlier Detection in Urban Traffic Data

16:30 – 17:00 Coffee break

17:00 – 19:00 Tutorial – Krisztian Buza (chair: Vladimir Kurbalija) – 65/3 Time Series Classification and its Applications

20:00 Conference dinner

th Wednesday (June 27 ,​ 2018) ​

Session 5 – WASA 2018 - 8th Workshop on Applications of Software Agents 8:30 – 10:55 (chair: Milan Vidaković) – 64/3

Amelia Bădică, Costin Bădică, Ion Buligiu and Liviu Ciora. DEVS Modeling and Simulation Using BDI Agents: 8:30 – 8:55 Preliminary Considerations

Benjamin Gâteau. A Smart IoT Middleware for Comfort Management based on Multi-Agent-System ​ 8:55 – 9:20

Kuk Kristijan, Stanojević Aleksandar, Jovanović Mihailo and Nedeljković Slobodan. An Intelligent E-service for Detect 9:20 – 9:45 Malicious Code Based Agent Technology

Marko Hölbl, Luka Hrgarek, Mirjana Ivanović, Tatjana Welzer and Milan Vidaković. Introducing Public-Key 9:45 – 10:10 infrastructure for SiebogJS JavaScript-based Agent Middleware

Todor Ivascu, Adriana Dinis and Kristijan Cincar. A Disease-driven Nutrition Recommender System based on a 10:10 – 10:35 Multi-agent Architecture

Magdalena Kostoska, Monika Simjanoska, Bojana Koteska and Ana Madevska. Real-time Smart Advisory Health 10:35 – 10:55 System

8:30 – 10:55 Session 6 – Machine Learning and Data Mining (chair: Michael Houle) – 65/3

Brankica Bratić, Michael E. Houle, Vladimir Kurbalija, Vincent Oria and Miloš Radovanović. NN-Descent on 8:30 – 8:55 High-Dimensional Data

Guilherme Oliveira Campos, Wagner Meira Jr. and Arthur Zimek. Outlier Detection in Graphs: On the Impact of ​ 8:55 – 9:20 Multiple Graph Models

Andrei Ionita, André Pomp, Michael Cochez, Tobias Meisen and Stefan Decker. Where to Park? Predicting Free 9:20 – 9:45 Parking Spots in Unmonitored City Areas

Saša Pešić, Milenko Tošić, Ognjen Iković, Miloš Radovanović, Mirjana Ivanović and Dragan Bošković. Bluetooth Low 9:45 – 10:10 Energy Microlocation Asset Tracking (BLEMAT) in a Context-Aware Fog Computing System

Sandro Radovanović, Boris Delibašić, Miloš Jovanović, Milan Vukićević and Milija Suknović. Framework for integration 10:10 – 10:35 of domain knowledge into logistic regression

Xin Liu, Tsuyoshi Murata and Kyoung-Sook Kim. Measuring Graph Reconstruction Precisions - How Well Do 10:35 – 10:55 Embeddings Preserve the Graph Proximity Structure

11:00 – 11:15 Coffee break

11:15 – 13:15 Session 7 – Link Discovery and Named Entity Linking (chair: Krisztian Buza) – 65/3

Andreas Karampelas and George A. Vouros. Time and Space Efficient Large-Scale Link Discovery using String ​ 11:15 – 11:40 Similarities

Albert Weichselbraun, Philipp Kuntschik and Adrian M.P. Brasoveanu. Mining and Leveraging Background Knowledge 11:40 – 12:05 for Improving Named Entity Linking

Georgios M. Santipantakis, Konstantinos I. Kotis, George A. Vouros, Christos Doulkeridis. RDF-Gen: Generating RDF 12:05 – 12:30 from streaming and archival data

Csaba Veres. Task Specific Disambiguation in a Web Page: Towards Symbiotic Annotation ​ 12:30 – 12:55

Adrian M.P. Braşoveanu, Lyndon J.B. Nixon and Albert Weichselbraun. StoryLens: A Multiple Views Corpus for 12:55 – 13:15 Location and Event Detection

11:15 – 13:20 Session 8 – WIMS Applications in Education and E-learning (chair: Mirjana Ivanović) – 64/3

Milinko Mandić. Semantic Web based software platform for curriculum harmonization ​ 11:15 – 11:40

Ainuddin Faizan and Steffen Lohmann. Automatic Generation of Multiple Choice Questions from Slide Content using ​ 11:40 – 12:05 Linked Data

Boban Vesin, Aleksandra Klašnja-Milićević, Katerina Mangaroska, Mirjana Ivanović, Rodi Jolak, Dave Stikkolorum and 12:05 – 12:30 Michel Chaudron. Web-based educational ecosystem for automatization of teaching process and assessment of students

Min-Hee Jang, Sang-Wook Kim, Woong-Kee Loh and Jung-Im Won. Approximate k-Nearest Neighbor Search Based ​ 12:30 – 12:55 on the Earth Mover’s Distance for Efficient Content-based Information Retrieval

Kaja Zupanc and Zoran Bosnić. Increasing accuracy of automated essay grading by grouping similar graders ​ 12:55 – 13:20

13:20 – 14:30 Lunch

14:30 – 16:25 Session 9 – Social Media Analytics and Recommender Systems (chair: Miloš Savić) – 65/3

Erdem Beğenilmiş and Suzan Uskudarli. Organized Behavior Classification of Tweet Sets using Supervised Learning 14:30 – 14:55 Methods

Kristijan Spirovski, Evgenija Stevanoska, Andrea Kulakov, Zaneta Popeska and Goran Velinov. Comparison of 14:55 – 15:20 different model's performances in task of document classification

Damianos P. Melidis, Alvaro Veizaga Campero, Vasileios Iosifidis, Eirini Ntoutsi, Myra Spiliopoulou. Enriching ​ 15:20 – 15:45 Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams

Mohammed Alzahrani and Lilia Georgieva. Structural modeling and verification of web applications ​ 15:45 – 16:05

Randi Karlsen, Najeeb Elahi and Anders Andersen. Personalized Recommendation of Socially Relevant Images ​ 16:05 – 16:25

16:25 – 17:30 Tutorial – Miloš Savić (chair: Amelia Badica) – 65/3 Analysis of Annotated Social and Information Networks: Methods and Applications

17:30 – 18:00 Closing

Useful Information

Novi Sad

Novi Sad (cyrillic: Нови Сад) is a city located in northern Serbia; it lies on the banks of the Danube river in the province of Vojvodina. Novi Sad is located on the water route Rhine – Main – Danube which connects nine countries and six capitals. It is also on the main route from the central Europe (through Hungary) to south-eastern Europe (FYR of Macedonia, Greece, Bulgaria, Turkey). Novi Sad lies 300 km south of Budapest (Hungary), 70 km north of Belgrade, 360 km east of Zagreb (Croatia) and 160 km west of Timisoara (Romania).

Novi Sad is the capital of Vojvodina province and a large industrial and cultural centre. Its name means "New Planting" (noun) in Serbian and is also known as Neoplanta (in Latin), Neusatz (in German), and Újvidék (in Hungarian).

The population of Novi Sad, according to the Serbian census of 2011, is about 250.000 citizens, with the entire administrative area having about 350.000 citizens. Serbian language is spoken by majority of citizens. However Hungarian, Slovakian, Romanian and Ruthanian languages are also widely spoken and officially used according to the law and decision of the town’s assembly.

Novi Sad has a moderate continental climate, with four seasons.

Public Transport Public transport in Novi Sad is fairly quick and reliable. It is comprised only of buses, whose schedule depends on the line, but most buses run at 10 to 15 minute intervals from 04:30 to 24:00. There are only single-ride tickets, which you can buy on board, from the driver, on entering the bus. The price of the fare is 65 dinars. You can find timetable on this link: http://www.gspns.co.rs/timetable/city. ​ ​ Taxi The passenger is only required to pay for taxi services according to the current price list and to the amount indicated by the taxi meter at the end of the journey. The cost of the taxi ride also includes transport of the passenger's personal baggage. Negotiating a price for taxi services, where the taxi meter is not switched on, is not recommended, especially at the airport.

Recommended taxi associations in Novi Sad can be found in a table given below.

Taxi association Phone number Website

Red taxi +381 21 44 55 77 http://www.crvenitaxi.co.rs/

Novus +381 21 500 700 -

Delta +381 21 55 33 33 http://deltataxins.com/

City Orientation

Following are descriptions of some of the key locations in the city. For each of them, instructions to reach the Campus are given, as well as connections with some of the other locations.

The Train Station

The train station (“Železnicka stanica”) is simultaneously the main bus station, and therefore one of the main points in the city.

From the train station you can use bus no. 4 (65 dinars ~0.55 EUR) to get to the University campus, or hire a taxi (around 300 dinars 2.5 EUR). Please avoid taxis that are parked immediately in front of the train station building – they are unreasonably expensive! Go to the parking space (paved with yellow bricks) to the left of the main entrance and hire one of the taxis there.

Walking distance to the Campus is about 3km. You should head south, down “Bulevar Oslobođenja” (Boulevard of Liberation), get to the Futog Market, and follow directions from the next section.

Futog Market

The Futog Market (“Futoška pijaca”) is quite probably the most visited market place in the city. It is located roughly in the geographical centre of the city. The walking distance to the Campus is about 1.5km. Head south down “Bulevar Oslobođenja”, after about 100m turn left into a diagonal street “Laze Kostića” it will continue into “Sremska,” and then you will get to the “SPENS” sports–business centre. Go through it straight, across the parking lot, and you are at the Campus.

Alternatively you can take the number 4 bus to the Campus, three stations away. Use the station in “Jevrejska” (Jewish) street, south across the road from the market.

To the Cathedral and the city centre Simply follow “Jevrejska” street, you should be able to soon see the Cathedral peak, it is less than 1km away.

To the Train Station Follow “Bulevar Oslobođenja” north. It ends at the train station, about 1.5km away. Alternatively you can use a bus – 4, 7, 10, 14, or 15.

The Cathedral

The Cathedral is one of the main landmarks of Novi Sad. It is right in the centre of the city, in the pedestrian area, and it is visible from quite a distance, and is therefore a very popular meeting place.

Of course no buses pass directly next to it, but the centre bus station is near. You can get there through the “Kralja Aleksandra” (King Alexander’s) street and then through the underpass. Buses 1, 4 and 8 drive to the University Campus, it is only two stations away.

You can also go by foot to the Campus, going mostly south, through the “Modena” street, crossing the semaphore straight and following the curve of the street from there. The distance is about 1.5km.

To the Futog Market Head west, past the Serbian National Theatre, and continue through “Jevrejska” street. The distance is less than 1km.

To the Petrovaradin Fortress The Fortress lies east of the Cathedral, so there are several possible routes to it. The simplest is about 1.5km. First go southeast through “Modena” street, and turning left at the semaphore into “Mihajla Pupina” Boulevard. 500m away is the “Varadin” (a.k.a. “Rainbow”) bridge, and you should already be able to see the Fortress across the Danube. Alternatively you can use the number 3 bus from the city centre.

Novi Sad Fair

Novi Sad Fair (Novosadski sajam) is the leading fair institution in Serbia, but it deals with a wider scope of activities than just organising exhibitions. Buses 11A and 11B go next to the Fair, and can take you to the Campus. Both of these lines are circular and follow the same route, only in different directions. It

should be slightly faster to take the 11A bus to the Campus, and 11B when going in the other direction, but the difference is not significant.

Walking distance to the Campus is about 3.5km. It is probably simplest to go south down “Hajduk Veljkova” street (in the direction of the Hospital), turn left into “Novosadskog sajma,” and then right into “Bulevar Oslobođenja.” About 300 metres down the Boulevard is the Futog Market, so you can follow directions in Section “Futog Market”.

To the train station Follow “Kralja Petra I” Boulevard about 750 metres, then turn left into “Bulevar Oslobođenja,” and you should be able to see the train station at the end of it, about 400 metres away.

Petrovaradin Fortress

The most recognized structure in Novi Sad is Petrovaradin fortress, which dominates the city and offers scenic views of the city. Petrovaradin fortress is situated on the right side of the Danube. Its construction started in late 17th century by Austrians.

The fortress represents Novi Sad history but it is still alive after four centuries of existence. Most of the day it is crowded by tourists and Novi Sad citizens. It is the home of the artists which are inspired by its beauty. Besides the fortress, there is also historic neighborhood of Petrovoradin's old town (Stari Grad), with many monuments, museums, cafes, restaurants and shops.

Recently it became famous as the home of the annual EXIT music festival.

The clock tower on the fortress is one of the major landmarks of Novi Sad. It is known in the city as the “drunken clock,” since the large needle shows the hours, and the small one shows the minutes, which was once normal, but is opposite to the today’s standards.

Buses 3, 9 and 70 go through Petrovaradin and over the bridge to Novi Sad.

If you want to go to the Campus from the Fortress, go over the “Varadin” bridge, and head south, following the flow of the Danube river. You should soon be able to see the Campus. The whole walk is about 1.5km. Alternatively you can use the number 9 bus.

To the Cathedral The peak of the Cathedral should be visible from the Fortress when looking to the west. Walking distance is about 1.5km. After crossing the “Varadin” bridge, continue down “Mihajla Pupina” Boulevard for about 500m. Then at the semaphore turn right into “Modena” street, and the Cathedral should be visible in front of you. Alternatively you can use the number 3 bus to the city centre.

Danube River

The great European river Danube runs through Novi Sad, and makes a beautiful quay along its flow, passing by Novi Sad's most elite neighborhoods.

The promenade is busy all the time, day or night. You can see people walking by, fishermen at the shore or if you walked down the quay during the summer – you may see some of the festivals that take place in this particular time of the year.

"Štrand" is a popular beach on the Danube river. It is located near the Freedom Bridge, in the city quarter known as Liman.

Exit Festival

EXIT (also known as State of EXIT) is an annual summer music festival help on the Petrovaradin fortress of Novi Sad. It is staged annually since 2000 and usually lasts four days (since 2003), although it has since expanded to include events at other places under the same event name. It is quite possibly the largest music festival in the South-Eastern Europe, with typical audiences of 30 40.000 per day and up to - 200.000 in total.

It was officially proclaimed as the 'Best Major European festival' in 2014 and 2016 at the EU Festival Awards, chosen by 620,000 between 360 festivals from 34 countries.

National Park of Fruška Gora

There is also a little mountain of Fruška Gora nearby, approximately 20 km from the city centre. The highest peak is Crveni Čot at 539 m. There are sixteen Serb Orthodox monasteries located on the slopes of Fruska Gora. It hosts many campers and picnickers during the spring, summer and autumn.

Online Maps

Plan Plus Interactive Web map for entire Serbia. Includes detailed street maps for most of the larger cities, and for many of the smaller ones, as well.

OpenStreetMap has very good coverage of Novi Sad. ​ Google Maps also has good coverage of Novi Sad. ​

City Centre Map

The city centre is an excellent place for taking a walk, any time of day. There is a very large pedestrian area, the main parts of it being “Zmaj Jovina” and “Dunavska” streets, expanding into a number of smaller streets and passages. They are all filled with coffee shops, restaurants, bookstores and all kinds of other shops. Next to the pedestrian zone is the “Danube” (“Dunavski”) park, where you can sit on one of the numerous benches and enjoy the nature while you rest.

Campus Map

1. Campus 14. PMF - Department of Biology and Ecology 2. Faculty of Agriculture 15. PMF - Department of Chemistry 3. Faculty of Technology 16. PMF - Department of Geography, Tourism and Hotel 4. Faculty of Sport and Physical Education Management 17. PMF - Department of Mathematics and Informatics 5. Faculty of Philosophy conference building 6. Faculty of Law 18. PMF - Department of Physics 7. Faculty of Technical Sciences - FTN (Fakultet Tehničkih 19. “Plantland” Garden Center Nauka); Amphitheatres, Classrooms; Ethno and folk 20. Business College dancing school “Sonja Marinković”; Post Office 21. Faculty of Economics 8. FTN 22. Student Dormitory “Slobodan Bajić” 9. FTN 23. Student Dormitory “Veljko Vlahović” 24. Teaching Assistant Dormitory 10. FTN - ITC - Centre for Research and 25. Student Restaurants Technology 26. Centre for Physical Education 11. FTN 27. Student Health Center Pharmacy 12. FTN 28. Student Sport Fields (football, basketball, volleyball, 13. Faculty Of Sciences - PMF handball, tennis) (Prirodno-matematički fakultet) 29. “Student” Tennis Club

Currency

The local currency is Serbian dinar, RSD (1 Euro 118 RSD). The value of dinar changes frequently, so please be informed about it at the time of your travel.

There are numerous exchange offices across Belgrade, which usually do not charge the commission. For exchange rate information you can check the daily updated Exchange Rate List on the official site of the National Bank of Serbia (http://www.nbs.rs/export/sites/default/internet/english/scripts/ondate.html). ​ ​

Area Code

The phone code for Serbia is +381, for Belgrade (0)11, for Novi Sad (0)21, for Niš (0)18 etc. For international calls from Serbia dial 00 (or + on mobile phones) followed by the code of the desired country.

WiFi

Eduroam WiFi network will be available at the Faculty of Sciences.

Conference WiFi will also be available during the event, with the following parameters:

Network name: WIMS18 Password: NoviSad2018

Conference Dinner

Conference dinner will be held in “Aqua Doria” restaurant on Tuesday, 26th June 2018 at 8 PM. Directions from the cathedral to the restaurant are shown on the map given below.

City Tour

Meeting point before the city tour will be in front of the building of the Department of Mathematics and Informatics on Monday, 25th June, 2018. at 6:40 PM.

Contact

For any further information please contact us at our official email address: [email protected]. ​ ​