Program

Know@LOD takes place as a full-day workshop on Sunday, May 31st.

Morning Session 1

9:00-9:10 Welcome
9:10-9:25 Benedikt Kämpgen, Horst Werner, Radwan Deeb and Christof Bornhövd: Towards a Semantic Clinical Data Warehouse: A Case Study of Discovering Similar Genes (short paper)
9:25-9:40 Karin Becker, Xiaojie Tan, Craig Knoblock and Shiva Jahangiri: Finding, Assessing, and Integrating Statistical Sources for Data Mining (short paper)
9:40-10:05 Seyed Iman Mirrezaei, Bruno Martins and Isabel F. Cruz: The Triplex Approach for Recognizing Semantic Relations from Noun Phrases, Appositions, and Adjectives (full paper)
10:05-10:30 Stefan Bischof, Christoph Martin, Axel Polleres and Patrik Schneider: Open City Data Pipeline: Collecting, Integrating, and Predicting Open City Data (full paper)

10:30-11:00 Coffee Break

Morning Session 2

11:00-11:25 Siva Kumar Cheekula, Pavan Kapanipathi, Derek Doran, Prateek Jain and Amit Sheth: Entity Recommendations Using Hierarchical Knowledge Bases (full paper)
11:25-11:50 Mayank Kejriwal and Daniel P. Miranker: Sorted Neighborhood for Schema-free RDF Data (full paper)
11:50-12:05 Eirini Papagiannopoulou, Grigorios Tsoumakas and Nick Bassiliades: On Discovering Relationships in Multi-Label Learning via Linked Open Data (short paper)
12:05-12:30 Zareen Syed, Tim Finin, Muhammad Rahman, James Kukla and Jeehye Yun: Discovering and Querying Hybrid Linked Data (full paper)

12:30-14:00 Lunch break

Afternoon Session 1

14:00-15:05 Keynote. Marko Grobelnik, JSI, Slovenia: Global Media Monitoring
We will demonstrate applications of data analysis techniques to building an operational media monitoring system that involves a large number of data streams in multiple languages. The system comprises a Global MediaMonitoring platform http://EventRegistry.org for (a) collecting media information from 300,000 news and social media sources, (b) performing linguistic and semantic processing in multiple languages, (c) forming events and event sequences, (d) streaming information about events in open data formats, (e) rich visualizations, and (f) search with complex queries for analysing globalsocial dynamics. We will discuss the challenges and technical solutions.
15:05-15:30 Andreas Both, Liliya Avdiyenko and Christiane Lemke: Computing Geo-Spatial Motives from Linked Data for Search-driven Applications (full paper)

15:30-16:00 Coffee break

Afternoon Session 2

16:00-16:15 Introduction to the Linked Data Mining Challenge
16:15-16:30 Suad Aldarra and Emir Muñoz: A Linked Data-Based Decision Tree Classifier to Review Movies
16:30-16:45 Meyer Bossert: Predicting Metacritic Film Reviews Using Linked Open Data and Semantic Technologies
16:45-17:00 Johann Schaible, Zeljko Carevic, Oliver Hopt and Benjamin Zapilko: Utilizing the Open Movie Data Base for Predicting the Review Class of Movies
17:00-17:30 Closing and awards