Matches in ESWC 2020 for { ?s <http://www.w3.org/2000/01/rdf-schema#label> ?o. }
- Workshop label "Workshop on Humanities in the Semantic web (WHiSe III)".
- Welcome label "Welcome and introduction".
- Session1 label "Session 1: Linked Data and Libraries".
- Keynote label "Keynote: The Semantic Web in Digital Humanities Ecosystems".
- Session2 label "Session 2 − Social History".
- Session3 label "Session 3: Language".
- Workshop label "Workshop on Large Scale RDF Analytics LASCAR II".
- Welcome label "Welcome".
- Welcome label "Welcome".
- Welcome label "Welcome".
- Keynote label "Keynote".
- Session1 label "Paper session 1".
- Session2 label "Paper session 2".
- WrapUp label "Wrap up + Panel discussion".
- Workshop label "IoT infrastructures for safety in pervasive environments".
- Welcome label "Welcome note by the organizers".
- Keynote label "Invited Keynote Speech Connexions project presentation".
- Paper1 label "An IoT approach for optimizing routing and safety".
- Paper2 label "Private incident reporting using onion networks".
- Paper3 label "Ontology-based Reasoning for Critical Incidents in Public Events".
- Paper4 label "A survey on the available blockchain platforms and protocols for Supply Chain Management".
- Paper5 label "A Framework for Handling Internet of Things Data with Confidentiality and Blockchain Support".
- WrapUp label "Wrap up".
- Workshop label "Deep Learning for Knowledge Graphs (DL4KG)".
- Keynote label "Invited Talk by Michalis Vazirgiannis".
- Paper1 label "Affinity Dependent Negative Sampling for Knowledge Graph Embeddings".
- Paper2 label "Probing a Semantic Dependency Parser for Translational Relation Embeddings".
- Paper3 label "Towards Exploiting Implicit Human Feedback for Improving RDF2vec Embeddings".
- Paper4 label "Semantic Entity Enrichment by leveraging Multi-lingual Descriptions for Link Prediction".
- Paper5 label "DeepLENS: Deep Learning for Entity Summarization".
- Paper6 label "Entity Type Prediction in Knowledge Graphs using Embeddings".
- LightningTalk1 label "Lightning Talk".
- LightningTalk2 label "Lightning Talk".
- Paper7 label "Conditional Constraints for Knowledge Graph Embeddings".
- WrapUp label "Closing".
- WrapUp label "Closing".
- Workshop label "International Workshop on Semantic Digital Twins".
- Keynote label "Keynote: Ljiljana Stojanovic: Cognitive Digital Twins: Challenges and opportunities for semantic technologies ".
- Paper1 label "Digital Twins and Semantic Data Fusion for Security in a Healthcare Environment".
- Paper2 label "Towards Integrated Data Control for Digital Twins in Industry 4.0".
- Paper3 label "A Reference Architecture for Smart Building Digital Twin".
- Paper4 label "Mechanical Testing Ontology for Digital-Twins: a roadmap based on EMMO".
- Paper5 label "Towards Actionable Cognitive Digital Twins for Manufacturing".
- Workshop label "Workshop on Cross-lingual Event-centric Open Analytics (CLEOPATRA)".
- Welcome label "Welcome session".
- Keynote label "Keynote – Katja Markert “State-of-the-Art and Challenges in Timeline Summarization”".
- Paper1 label "EventKG+Click: A Dataset of Language-specific Event-centric User Interaction Traces".
- Paper2 label "A Neural-based model to Predict the Future Natural Gas Market Price through Open-domain Event Extraction".
- Paper.23 label "A Neural-based model to Predict the Future Natural Gas Market Price through Open-domain Event Extraction".
- Paper3 label "A Feature Analysis for Multimodal News Retrieval".
- Paper4 label "Training Multimodal Systems for Classification with Multiple Objectives".
- Paper5 label "Exploration of Approaches to Arabic Named Entity Recognition".
- Paper6 label "UNER: Universal Named-Entity Recognition Framework".
- WrapUp label "Closing session".
- Workshop label "Constructing Question Answering Systems over Knowledge Graphs".
- Paper.21 label "Constructing Question Answering Systems over Knowledge Graphs".
- Introduction label "Introduction and people gathering".
- Keynote label "Keynote and introduction into the field of Question Answering (general principles and variations)".
- Understanding label "Understanding the tasks of QA over KG".
- Learning label "Learning how to model data for Question Answering using the QAnswer approach".
- Handson label "Hands-on session I: Apply the QAnswer approach on prepared data sets".
- Constructing label "Constructing, customizing and quality measuring of a QA system using the Qanary methodology".
- Handson2 label "Hands-on session II: Construct, customize, evaluate and optimize a complete Question Answering system".
- Gathering label "Gathering and discussion of the participants to defined particular goals for developing an individual Question Answering system".
- Handson3 label "Hands-on session III: Split into individual groups developing a Question Answering system focussing on different topics tutored by the tutorial organizers".
- Presentation label "Presentation of final results".
- Workshop label "Entity Summarization in Knowledge Graphs: Algorithms, Evaluation, and Applications"@en ; conference:description "The concise representation format and graph nature of knowledge graphs have resulted in creating many novel Web applications and enhancing existing ones. However, in a knowledge graph, dozens or hundreds of facts describing an entity could exceed the capacity of a typical user interface and overload users with excessive amounts of information. This has motivated fruitful research on entity summarization—automated generation of compact summaries for entities to satisfy users’ information needs efficiently and effectively. Over the recent years, researchers have contributed to this problem by proposing approaches ranging from pure ranking and mining techniques to machine and deep learning techniques. The state of the art has continuously improved and at the same time made it harder for the community and new comers to the problem to keep up with the recent and old contributions in the space. Moreover, even though knowledge graphs are becoming popular among academia and industry, there is no effort to date to educate and discuss on recent trends and basic building blocks of this problem domain. This tutorial specifically aims to fill this gap.".
- Video label "Video presentation".
- QA label "Q&A".
- Workshop label "Example-based Exploration: Exploring Knowledge through Examples".
- Paper.4 label "Example-based Exploration: Exploring Knowledge through Examples".
- Aalborg_University label "Aalborg University".
- Intro label "Introduction, motivation, and formulation".
- Origin label "The origin: Example-based approaches for structured data (relational)".
- Approaches label "Example-based approaches for semi-structured and unstructured data (graphs and text)".
- Learning label "Learning methods based on examples".
- Challenges label "Challenges and Discussion".
- Workshop label "Modular Ontology Engineering with CoModIDE".
- Paper.5 label "Modular Ontology Engineering with CoModIDE".
- Ex1 label "Exercise 1 – Introduction to CoModIDE modelling – Instructions/Workflows domain".
- Ex2 label "Exercise 2 – Advanced modelling topics – Smart Buildings domain".
- Day.Wednesday label "Wednesday".
- John_F._Sowa label "John F. Sowa".
- Minute_Madness label "Minute Madness".
- keynote-john-f-sowa label "Language, Ontology, and the Semantic Web".
- Workshops__Tutorials label "Workshops / Tutorials".
- Workshops__Tutorials label "Workshops / Tutorials".
- PhD_Symposium label "PhD Symposium".
- PhD_Symposium label "PhD Symposium".
- Morning_Coffee_Break label "Coffee Break".
- Afternoon_Coffee_Break label "Coffee Break".
- Morning_Coffee_Break label "Coffee Break".
- Afternoon_Coffee_Break label "Coffee Break".
- Morning_Coffee_Break label "Coffee Break".
- Lunch label "Lunch".
- Lunch label "Lunch".
- Lunch label "Lunch".
- Day.Tuesday label "Tuesday".
- Michael_Schmidt label "Michael Schmidt".
- Opening_Ceremony label "Opening Ceremony".