Doctoral Consortium

Agenda

Monday, October 12th

09:00-10:05 Session 1

09:00-09:05 s1 Maria-Esther Vidal. Introduction to the Workshop
09:05-09:25 paper 5: Angelo Antonio Salatino. Early Detection and Forecasting of Research Trends
09:25-09:45 paper 23: Pikakshi Manchanda. Entity Linking and Knowledge Discovery in Microblogs
09:45-10:05 paper 16: Mehdi Terdjimi. Multi-level context adaptation in the Web of Things

10:05-10:35 Session 2: Poster Session

10:35-11:00 Session : Coffee Break

11:00-12:00 Session 3

11:00-11:20 paper 13: Ali Hasnain. Improving discovery in Life Sciences Linked Open Data Cloud
11:20-11:40 paper 7: Riccardo Tommasini. Efficient and Expressive Stream Reasoning with Object-Oriented Complex Event Processing
11:40-12:00 paper 3: Asha Subramanian and Srinath Srinivasa. Inferencing in the Large - Characterizing Semantic Integration of Open Tabular Data

12:00-12:30 Session 4: Poster Session

12:30-14:00 Session : Lunch

14:00-15:00 Session 5

14:00-14:20 paper 21: Laurens De Vocht. Iterative Query Refinement for Exploratory Search in Distributed Heterogeneous Linked Data
14:20-14:40 paper 17: Gabriela Montoya. Answering SPARQL Queries using Views
14:40-15:00 paper 15: Sambhawa Priya. Scaling Out Sound and Complete Reasoning for Conjunctive Queries on OWL Knowledge Bases

15:00-15:30 Session 6: Poster Session

15:30-16:00 Session : Coffee Break

16:00-17:00 Session 7

16:00-16:20 paper 20: Blerina Spahiu. Profiling Linked (Open) Data
16:20-16:40 paper 12: Jennifer Sleeman. Entity Disambiguation for Wild Big Data Using Multi-Level Clustering
16:40-17:00 paper 6: Mirko Michele Dimartino. Peer-based query rewriting in SPARQL for semantic integration of Linked Data

17:00-17:30 Session 8: Poster Session

17:30-17:45 Session 9: Conclusions

17:30-17:45 s2 Fabio Ciravegna and Maria-Esther Vidal. Conclusions to the Workshop

Accepted Papers

A call for papers was issued and the following 12 papers were accepted:

  • Asha Subramanian and Srinath Srinivasa: Inferencing in the Large - Characterizing Semantic Integration of Open Tabular Data
  • Angelo Antonio Salatino: Early Detection and Forecasting of Research Trends
  • Mirko Michele Dimartino: Peer-based query rewriting in SPARQL for semantic integration of Linked Data
  • Riccardo Tommasini: Efficient and Expressive Stream Reasoning with Object-Oriented Complex Event Processing
  • Jennifer Sleeman: Entity Coreference Resolution for Wild Big Data Using Multi-Level Clustering
  • Ali Hasnain: A Roadmap for improving discovery in Life Sciences Linked Open Data Cloud
  • Sambhawa Priya: Scaling Out Sound and Complete Reasoning for Conjunctive Queries on OWL Knowledge Bases
  • Mehdi Terdjimi: Multi-level context adaptation in the Web of Things
  • Gabriela Montoya: Answering SPARQL Queries using Views
  • Blerina Spahiu: Profiling Linked (Open) Data
  • Laurens De Vocht: Iterative Query Refinement for Exploratory Search in Distributed Heterogeneous Linked Data
  • Pikakshi Manchanda: Entity Disambiguation and Discovery of Emerging Entities in Microblogs using Linked Datasets