Closing ceremony of ESWC2015

1. ESWC 2015
Closing Speech of the 12th European
Semantic Web Conference
May 31st - June 4th, Portoroz, Slovenia
Fabien Gandon, Inria
http://fabien.info
#eswc2015

2. Please come in the room… thanks again !
Marko, Spela, Monika, Ana, Mihajela, Anita, Adis and Matija

3. thanks again !
All the chairs !

4. SPONSORS

5. 3 Candidate Best Research Papers
Olaf Hartig and Giuseppe Pirrò
A Context-Based Semantics for SPARQL Property Paths over the Web
Georgia Troullinou, Haridimos Kondylakis, Evangelia Daskalaki and Dimitris Plexousakis
RDF Digest: Efficient Summarization of RDF/S
Jeremy Debattista, Santiago Londoño, Christoph Lange and Sören Auer
Quality Assessment of Linked Datasets using Probabilistic Approximations

6. Best Research Paper Award
Olaf Hartig and Giuseppe Pirrò
A Context-Based Semantics for SPARQL Property Paths over the Web

7. 2 Candidate Best In-Use Papers
Dhavalkumar Thakker, Vania Dimitrova, Anthony Cohn and Joaquin Valdes.
PADTUN - Using Semantic Technologies in Tunnel Diagnosis and Maintenance Domain
Maximilan Osenberg, Melanie Langermeier and Bernhard Bauer.
Using semantic web technologies for enterprise architecture analysis

8. Best In-Use Paper Award
Dhavalkumar Thakker, Vania Dimitrova, Anthony Cohn and Joaquin Valdes
PADTUN - Using Semantic Technologies in Tunnel Diagnosis and Maintenance Domain

9. Candidate Best Student Papers
Jacobo Rouces, Gerard de Melo and Katja Hose.
FrameBase: Representing N-ary Relations using Semantic Frames
Joachim Van Herwegen, Ruben Verborgh, Erik Mannens and Rik Van de Walle.
Query Execution Optimization for Clients of Triple Pattern Fragments
Fadi Maali, Stéphane Campinas and Stefan Decker.
Gagg: A Graph Aggregation Operator

10. Best Student Paper Award
Fadi Maali, Stéphane Campinas and Stefan Decker
Gagg: A Graph Aggregation Operator

11. 7-year best paper: 8 candidates
Andre Bolles, Marco Grawunder and Jonas Jacobi.
Streaming SPARQL - Extending SPARQL to process data streams
Eero Hyvönen, Kim Viljanen, Jouni Tuominen and Katri Seppälä.
Building a National Semantic Web Ontology and Ontology Service Infrastructure-The FinnONTO Approach
Andreas Langegger, Wolfram Wöß and Martin Blöchl.
A Semantic Web middleware for Virtual Data Integration on the Web
Bastian Quilitz and Ulf Leser.
Querying Distributed RDF Data Sources with SPARQL
Katharina Siorpaes and Martin Hepp.
OntoGame: Weaving the Semantic Web by Online Games
Tomas Vitvar, Jacek Kopecky, Jana Viskova and Dieter Fensel.
WSMO-Lite Annotations for Web Services
Haofen Wang, Kang Zhang, Qiaoling Liu, Duc Thanh Tran and Yong Yu.
Q2Semantic: A Lightweight Keyword Interface to Semantic Search
five top most cited papers and 3 original outsiders from ESWC2008

12. Best 7-year Paper Award
Bastian Quilitz and Ulf Leser.
Querying Distributed RDF Data Sources with SPARQL

13. apologies to…
Pieter Heyvaert, Pieter Colpaert,
Ruben Verborgh, Erik Mannens,
Rik Van de Walle
MERGING AND ENRICHING DCAT
FEEDS TO IMPROVE DISCOVERABILITY
OF DATASETS

14. Best Poster Award

15. Best Poster AwardNikos Bikakis, John Liagouris, Maria Krommyda, George Papastefanatos, Timos Sellis
Towards Scalable Visual Exploration of Very Large RDF Graphs

16. Best Demo Award

17. Best Demo Award
Ricardo Usbeck, Michael Röder and Axel-Cyrille Ngonga Ngomo
Evaluating Entity Annotators Using GERBIL

18. Challenges Award
Schema-agnostic Queries

19. Schema-agnostic Queries challenge Award
Zareen Syed, Lushan Han, Muhammad Rahman, Tim Finin, James Kukla, Jeehye Yun
UMBC_Ebiquity-SFQ: Schema Free Querying System

20. Challenges Award
Semantic Sentiment Analysis

21. Task 1 - Semantic Sentiment Analysis Award
Kim Schouten and Flavius Frasincar
The Benefit of Concept-based Features for Sentiment Analysis

22. Task 3 - Semantic Sentiment Analysis Award
Francesco Corcoglioniti, Alessio Palmero Aprosio and Marco Rospocher
Opinion frame extraction from news corpus

23. Most Innovative Semantic Sentiment Analysis Award
Andrea Giovanni Nuzzolese and Misael Mongiovì
Detecting sentiment polarities with Sentilo

24. Challenges Award
Open Knowledge Extraction
• Sergio Consoli and Diego Reforgiato.
Using FRED for Named Entity Resolution, Linking and Typing for Knowledge Base
population
• Jie Gao and Suvodeep Mazumdar.
Exploiting Linked Open Data to Uncover Entity Type
• Julien Plu, Giuseppe Rizzo and Raphaël Troncy.
A Hybrid Approach for Entity Recognition and Linking
• Michael Röder, Ricardo Usbeck and Axel-Cyrille Ngonga Ngomo.
CETUS — A Baseline Approach to Type Extraction

25. Open Knowledge Extraction Award
Task 1: Entity Recognition, Linking and Typing
Julien Plu, Giuseppe Rizzo and Raphaël Troncy
A Hybrid Approach for Entity Recognition and Linking

26. Open Knowledge Extraction Award
Task 2: Class Induction and entity typing
Michael Röder, Ricardo Usbeck and Axel-Cyrille Ngonga Ngomo
CETUS — A Baseline Approach to Type Extraction

27. Challenges Award
Semantic Publishing

28. Semantic Publishing Challenge Award
Task 1: extraction and assessment of workshop
proceedings information
Martin Milicka, Radek Burget
Information Extraction from Web Sources based on Multi-
aspect Content Analysis

29. Semantic Publishing Challenge Award
Task 2: Extracting Contextual Information From PDF Papers
Best performing approach
Dominika Tkaczyk, Lukasz Bolikowski
Extracting contextual information from scientific literature
using CERMINE system

30. Semantic Publishing Challenge Award
Task 2: Extracting Contextual Information From PDF Papers
Most innovative approach
Bahar Sateli, René Witte
Automatic Construction of a Semantic Knowledge Base from
CEUR Workshop Proceedings

31. of the general chair…
minute of madness

32. Can your “semantic Web” exploit all
the textual inputs of the Web?

33. Yes we can..
…find relations in different languages
Learning a Cross-Lingual Semantic Representation of Relations Expressed in Text
…answer natural language questions
HAWK - Hybrid Question Answering using Linked Data
…interface ontologies and lexicons
LIME: the Metadata Module for OntoLex
…identify the causes of low performance of NER
Troubleshooting and Optimizing Named Entity Resolution Systems in the Industry
…rank entities in a Web page
Ranking Entities in the Age of Two Webs, An Application to Semantic Snippets
…improve disambiguation with contextual info
LOD-based Disambiguation of Named Entities in @tweets through Context #enrichment

34. Ok, but can we manage the volume of
data we face then?

35. Yes we can…
…optimize distributed aggregate SPARQL queries
Processing Aggregate Queries in a Federation of SPARQL Endpoints
…find and repair the failures in our queries
Intelligent and Efficient Techniques for RDF Query Relaxation
…fragment our access to the data
Query Execution Optimization for Clients of Triple Pattern Fragments
Data as a Service: The Semantic Web Redeployed
…summarize the content of RDF/S KBs
RDF Digest: Efficient Summarization of RDF/S KBs
…follow SPARQL property paths across datasets
A Context-Based Semantics for SPARQL Property Paths over the Web

36. Yes we can…
…process large volumes of RDF in linear time
HDT-MR: A Scalable Solution for RDF Compression with HDT and MapReduce
…improve the use of caching
A survey of HTTP caching implementations on the open Semantic Web
…support frequent updates of compressed RDF
A Compact In-Memory Dictionary for RDF data
…fix common mistakes in Microdata provision
Heuristics for Fixing Common Errors in Deployed schema.org Microdata
…choose the most efficient data structures for URIs
A Comparison of Data Structures to Manage URIs on the Web of Data

37. Ok for the data but what about the
vocabulary?

38. Yes we can…
…use a moderate number of sources for ontology
learning
Leveraging and Balancing Heterogeneous Sources of Evidence in Ontology Learning
…benchmark relational-to-ontology data integration
RODI: A Benchmark for Relational-to-Ontology Data Integration
…support thesauri edition in SKOS and SKOS-XL
VocBench: a Web Application for Collaborative Development of Multilingual Thesauri

39. Knowledge is one thing but can we
reason efficiently?

40. Yes we can…
…improve RETE algo. and compress the triple-index
Large scale rule-based Reasoning using a Laptop
…distribute reasoning on a cluster of commodity
machines
Distributed and Scalable OWL EL Reasoning

41. What about all these new devices
joining the Web every day?

42. Yes we can…
…store and process EXI-based triple store with limited
resources
Standardized and Efficient RDF Encoding for Constrained Embedded Networks
…compose services in unstructured P2P networks
SPSC: Efficient Composition of Semantic Services in Unstructured P2P Networks

43. But things change fast! Can we follow?
Or even better predict?

44. Yes we can…
…learn to enrich RDF datasets
Automating RDF Dataset Transformation and Enrichment
…label and map new data sources
Assigning Semantic Labels to Data Sources
…predict class-membership
Inductive Classification through Evidence-based Models and their Ensembles
…match instances in a minimally supervised way
Semi-supervised Instance Matching Using Boosted Classifiers
…assess the data quality of large evolving datasets
Quality Assessment of Linked Datasets using Probabilistic Approximations

45. But is the human still in the loop?

46. Yes we can…
…identify user interaction requirements in performing
alignments
Requirements for and Evaluation of User Support for Large-Scale Ontology
Alignment
…represent and query n-ary relations using linguistic
frames
FrameBase: Representing N-ary Relations using Semantic Frames
…combine automatic techniques with human and
crowd computing in NER
Towards hybrid NER: a study of content and crowdsourcing-related performance
factors
…predict a Twitter user's location at the city level
Knowledge Enabled Approach to Predict the Location of Twitter Users
…provide flexible operators with regard to data’s
structure and analysis task performed
Gagg: A Graph Aggregation Operator

47. Ok, ok, ok… but is it really used?

48. Yes we can…
…improve medical data
From Symptoms to Diseases -- Creating the Missing Link
…support and visualize social innovation
Crowdmapping Digital Social Innovation with Linked data
…foster collaboration in open science
Supporting Open Collaboration in Science through Explicit and Linked
Semantic Description of Processes
…abstract serious game developers from graphical
and behavioral details
Using Ontologies For Modeling Virtual Reality Scenarios

49. Yes we can…
…represent the enterprise architecture and perform
analyses
Using semantic web technologies for enterprise architecture analysis
…support decision in tunnel maintenance
PADTUN - Using Semantic Technologies in Tunnel Diagnosis and Maintenance
Domain
…improve access to cultural heritage
Towards the Linked Russian Heritage Cloud: Data enrichment and Publishing
…solve richer travel offer search
Desperately searching for travel offers? Formulate better queries with some
help from Linked Data

50. ok… so that was ESWC 2015?

51. ESWC 2015
Closing Speech of the 12th European
Semantic Web Conference
May 31st - June 4th, Portoroz, Slovenia

52. www.sti2.org
ESWC 2015 Summer School
• School: August 31st – 5th September
• Application deadline: June 19th
• summerschool2015.eswc-conferences.org

53. www.sti2.org
53/59
ESWC Summer School Keynotes
Lora Aroyo
Free University of
Amsterdam
Martin Hepp
Universität der Bundeswehr Munich
Marko Grobelnik
Jozef Stefan Institute
James Hodson
Bloomberg
Chris Welty
Google Research

54. www.sti2.org
54/59
Learning Materials

55. #ESWC2016
Crete, May 29th - June 2nd 2016

56. ESWC 2015
Closing Speech of the 12th European
Semantic Web Conference
May 31st - June 4th, Portoroz, Slovenia
Fabien Gandon, Inria
http://fabien.info
#eswc2015