| RDF-Gen: generating RDF triples from big data sources | 0 | 0.34 | 2022 |
| Tearing Down the Tower of Babel: Unified and Efficient Spatio-temporal Queries for NoSQL Stores | 0 | 0.34 | 2022 |
| Social Spatio-temporal Keyword Pattern (S²KP) Queries in Multiple Aspect Trajectories Databases | 0 | 0.34 | 2022 |
| Parallel and scalable processing of spatio-temporal RDF queries using Spark | 0 | 0.34 | 2021 |
| Coronis - Towards Integrated and Open COVID-19 Data. | 0 | 0.34 | 2021 |
| A Demonstration of NoDA: Unified Access to NoSQL Stores. | 0 | 0.34 | 2021 |
| Declarative Querying of Heterogeneous NoSQL Stores. | 0 | 0.34 | 2021 |
| A Survey on Big Data Processing Frameworks for Mobility Analytics | 1 | 0.35 | 2021 |
| Scalable Spatio-temporal Indexing and Querying over a Document-oriented NoSQL Store. | 0 | 0.34 | 2021 |
| Scalable Enrichment Of Mobility Data With Weather Information | 0 | 0.34 | 2021 |
| ST_VISIONS: A Python Library for Interactive Visualization of Spatio-temporal Data | 1 | 0.48 | 2021 |
| Distributed Subtrajectory Join on Massive Datasets | 2 | 0.42 | 2020 |
| Diversifying Top-k Point-of-Interest Queries via Collective Social Reach | 0 | 0.34 | 2020 |
| The Delta Big Data Architecture for Mobility Analytics | 0 | 0.34 | 2020 |
| SPARTAN: Semantic integration of big spatio-temporal data from streaming and archival sources | 1 | 0.40 | 2020 |
| Parallel and Distributed Processing of Reverse Top-k Queries | 1 | 0.35 | 2019 |
| NoDA - Unified NoSQL Data Access Operators for Mobility Data. | 1 | 0.35 | 2019 |
| Online Event Recognition from Moving Vehicles: Application Paper. | 0 | 0.34 | 2019 |
| Efficient spatio-temporal RDF query processing in large dynamic knowledge bases. | 2 | 0.36 | 2019 |
| Contextualized Analysis of Movement Events. | 0 | 0.34 | 2019 |
| ARGO - A Big Data Framework for Online Trajectory Prediction. | 2 | 0.42 | 2019 |
| Scalable Distributed Subtrajectory Clustering | 0 | 0.34 | 2019 |
| stLD: towards a spatio-temporal link discovery framework | 0 | 0.34 | 2019 |
| The datAcron Ontology for the Specification of Semantic Trajectories - Specification of Semantic Trajectories for Data Transformations Supporting Visual Analytics. | 1 | 0.40 | 2019 |
| Integration of Mobility Data with Weather Information. | 0 | 0.34 | 2019 |
| Hot Spot Analysis over Big Trajectory Data | 0 | 0.34 | 2018 |
| RDF-Gen: Generating RDF from Streaming and Archival Data. | 0 | 0.34 | 2018 |
| FAIMUSS: Flexible Data Transformation to RDF from Multiple Streaming Sources. | 1 | 0.37 | 2018 |
| MaskLink: Efficient Link Discovery for Spatial Relations via Masking Areas. | 0 | 0.34 | 2018 |
| Big Data Analytics for Time Critical Mobility Forecasting: Recent Progress and Research Challenges. | 2 | 0.37 | 2018 |
| BigDataStack: A Holistic Data-Driven Stack for Big Data Applications and Operations | 0 | 0.34 | 2018 |
| Spatio-Temporal-Keyword Pattern Queries over Semantic Trajectories with Hermes@Neo4j. | 0 | 0.34 | 2018 |
| DiStRDF: Distributed Spatio-temporal RDF Queries on Spark. | 0 | 0.34 | 2018 |
| DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison. | 2 | 0.38 | 2017 |
| DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis. | 12 | 0.56 | 2017 |
| Taming Big Maritime Data to Support Analytics. | 0 | 0.34 | 2017 |
| Searching for Spatio-Temporal-Keyword Patterns in Semantic Trajectories. | 0 | 0.34 | 2017 |
| On temporal-constrained sub-trajectory cluster analysis. | 2 | 0.37 | 2017 |
| Parallel and Distributed Processing of Spatial Preference Queries using Keywords. | 2 | 0.36 | 2017 |
| Specification of Semantic Trajectories Supporting Data Transformations for Analytics: The datAcron Ontology. | 1 | 0.37 | 2017 |
| Exploratory product search using top-k join queries. | 0 | 0.34 | 2017 |
| User-Centric Similarity Search. | 0 | 0.34 | 2017 |
| Profile-Based Selection Of Expert Groups | 2 | 0.37 | 2016 |
| Efficient processing of top-k joins in MapReduce | 1 | 0.35 | 2016 |
| Finding the Most Diverse Products using Preference Queries. | 4 | 0.38 | 2015 |
| The RoadRunner framework for efficient and scalable processing of big data | 0 | 0.34 | 2015 |
| Efficient skyline query processing in SpatialHadoop | 7 | 0.44 | 2015 |
| DsUniPi: An SVM-based Approach for Sentiment Analysis of Figurative Language on Twitter | 2 | 0.35 | 2015 |
| Maximizing Influence of Spatio-Textual Objects Based on Keyword Selection. | 1 | 0.35 | 2015 |
| Efficient processing of exploratory top-k joins | 1 | 0.35 | 2014 |
