| Vol-2699 urn:nbn:de:0074-2699-4 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# CIKMW2020
Proceeding of the CIKM 2020 Workshops

### Proceedings of the CIKM 2020 Workshops
co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020)

### Galway, Ireland, October 19-23, 2020.

Edited by

### Stefan Conrad *
Ilaria Tiddi **

* University of Düsseldorf, Department of Computer Science, Universitätsstr. 1, 40225 Düsseldorf, Germany
** Vrije Universiteit Amsterdam, Knowledge Representation & Reasoning Group, Department of Computer Science, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands

## Table of Contents

- Preface

### 3rd Workshop Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI)

- Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models
  Amit Sangroya, Mouli Rastogi, C. Anantaram, Lovekesh Vig
- Now You See Me (CME): Concept-based Model Extraction
  Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Liò, Adrian Weller
- OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms
  Giorgio Visani, Enrico Bagli, Federico Chesani,
- LatentVis: Investigating and Comparing Variational Auto-Encoders via Their Latent Space
  Xiao Liu, Junpeng Wang

### Workshop on Combining Symbolic and Sub-symbolic Methods and their Applications (CSSA)

- More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings
  Andreea Iana, Heiko Paulheim
- Symbolic Vs Sub-symbolic AI Methods: Friends or Enemies?
  Eleni Ilkou, Maria Koutraki
- Creative Storytelling with Language Models and Knowledge Graphs
  Xinran Yang, Ilaria Tiddi
- Simplifying Architecture Search for Graph Neural Network
  Huan Zhao, Lanning Wei, Quanming Yao
- An Adaptive Semantic Stream Reasoning Framework for Deep Neural Networks
  Danh Le-Phuoc, Thomas Eiter
- Neuro-symbolic Visual Reasoning for Multimedia Event Processing: Overview, Prospects and Challenges
  Muhammad Jaleed Khan, Edward Curry
- Leveraging a Domain Ontology in (Neural) Learning from Heterogeneous Data
  Tomas Martin, Petko Valtchev, Abdoulaye Baniré Diallo

Invited presentations (Abstracts):

- Learning with Temporal Knowledge Graphs
  Yunpu Ma, Zhen Han, Volker Tresp
- WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows
  David Bayani

### 3rd International Workshop on EntitY Retrieval and lEarning (EYRE)

- An Anonymiser Tool for Sensitive Graph Data
  Charini Nanayakkara, Peter Christen, Thilina Ranbaduge
- Improving Spare Part Search for Maintenance Services using Topic Modelling
  Anastasiia Grishina, Milosh Stolikj, Qi Gao, Milan Petkovic
- ESSTER at the EYRE 2020 Entity Summarization Task
  Qingxia Liu, Gong Cheng, Yuzhong Qu

### First International Workshop on Investigating Learning During (Web) Search (IWILDS)

- Classification of Important Segments in Educational Videos using Multimodal Features
  Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth
- Information Retrieval from Hypermedia, with a Navigable Overview, at the End of Primary School
  Sandrine Moschetti-Rome, Franck Amadieu, Cécile van de Leemput
- The Other Side of the Same Coin: From Learning-centric Search Systems to Search-centric Learning Systems
  Catherine L. Smith, Soo Young Rieh
- Modeling Knowledge Change Behaviors in Learning-related Tasks
  Chang Liu, Xiaoxuan Song, Hanrui Liu, Nicholas J. Belkin
- Working Towards the Ideal Search History Interface
  Tetiana Tolmachova, Eleni Ilkou, Luyan Xu
- How to Support Search Activity of Users Without Prior Domain Knowledge When They are Solving Learning Tasks?
  Cheyenne Dosso, Aline Chevalier, Lynda Tamine
- Assessing the Impact of an Online Inquiry Teaching Intervention on Sixth Graders’ Search Performance
  Roberto González-Ibáñez, Daniel Gacitúa, Gonzalo Martínez-Ramírez, Jacqueline Köhler, Eero Sormunen, Carita Kiili, Mirjamaija Mikkilä-Erdmann, Norbert Erdmann, Marja Vauras, Paavo H.T. Leppänen
- Visualizing and Quantifying Vocabulary Learning During Search
  Nilavra Bhattacharya, Jacek Gwizdka
- Conversational Interfaces for Search As Learning
  Sihang Qiu, Alessandro Bozzon, Ujwal Gadiraju
- NLP for Student and Teacher: Concept for an AI based Information Literacy Tutoring System
  Paul Libbrecht, Thierry Declerck, Tim Schlippe, Thomas Mandl, Daniel Schiffner
- Performance Prediction of Elementary School Students in Search Tasks
  Roberto González-Ibañez, Luz Chourio-Acevedo, María Escobar-Macaya

### 3rd Workshop on Knowledge-driven Analytics ans Systems Impacting Human Quality of Life (KDAH-CIKM)

- On Analyzing the Household Energy Consumption Detection for Citizen Behavioral Analysis Carbon Footprint Awareness by Deep Residual Networks
  Arijit Ukil, Antonio J. Jara, Leandro Marin
- Evaluation Framework for Context-aware Speaker Recognition in Noisy Smart Living Environments
  Gianni Fenu, Roberta Galici, Mirko Marras
- CNN based Parkinson's Disease Assessment using Empirical Mode Decomposition
  Ayush Tripathi, Sunil Kumar Kopparapu
- Graph Analytics on Proximity Data to Fight Contagion
  Snehasis Banerjee, Vivek Chandel, Avik Ghose
- Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels
  Valentyn Melnychuk, Evgeniy Faerman, Ilja Manakov, Thomas Seidl
- Frailty Detection using Presence in a Room
  Ramesh Balaji, Evelyn Tan Sio Keow, Srinivasa Raghavan Venkatachari, Hwee Pink Tan

### 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN)

- #DemocratsAreDestroyingAmerica: Rumour Analysis on Twitter During COVID-19
  Lin Tian, Xiuzhen Zhang, Jey Han Lau
- Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics
  Kaize Ding, Kai Shu, Yichuan Li Amrita Bhattacharjee, Huan Liu
- Too Many Claims to Fact-Check: Prioritizing Political Claims Based on Check-Worthiness
  Yavuz Selim Kartal, Mucahid Kutlu, Busra Guvenen
- Embedding Partial Propagation Network for Fake News Early Detection
  Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie
- Epidemiology Inspired Framework for Fake News Mitigation in Social Networks
  Bhavtosh Rath, Jaideep Srivastava
- False News Classification and Dissemination: The case of the 2019 Indonesian Presidential Election
  Rayan Suryadikara, Suzan Verberne, Frank W. Takes
- The Ebb and Flow of the COVID-19 Misinformation Themes
  Thomas Marcoux, Ester Mead, Nitin Agarwal
- Investigating Online Toxicity in Users Interactions with the Mainstream Media Channels on YouTube
  Sultan Alshamrani, Mohammed Abuhamad, Ahmed Abusnaina. David Mohaisen
- Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset
  Shahan Ali Memon, Kathleen M. Carley

### Workshop on Semantic and Knowledge Graph Advances for Journalism (SKG4J)

- Extracting Complex Information from Natural Language Text: A Survey
  Mechket Emna Mahouachi, Fabian Suchanek
- Lifting News into a Journalistic Knowledge Platform
  Tareq Al-Moslmi, Marc Gallofré Ocaña
- Challenges and Opportunities for Journalistic Knowledge Platforms
  Marc Gallofré Ocaña, Andreas L. Opdahl
- Data Privacy in Journalistic Knowledge Platforms
  Marc Gallofré Ocaña, Tareq Al-Moslmi, Andreas L. Opdahl

2020-10-14: submitted by Stefan Conrad, metadata incl. bibliographic data published under Creative Commons CC0
2020-10-15: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|