CIKMW2020
Proceeding of the CIKM 2020 Workshops

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