| The AIDA Dashboard: A Web Application for Assessing and Comparing Scientific Conferences | 0 | 0.34 | 2022 |
| CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science. | 0 | 0.34 | 2022 |
| CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics | 0 | 0.34 | 2022 |
| Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature. | 0 | 0.34 | 2022 |
| Trans4E: Link prediction on scholarly knowledge graphs | 1 | 0.37 | 2021 |
| The Effect of Explanation Styles on User's Trust. | 0 | 0.34 | 2020 |
| Robot–City Interaction: Mapping the Research Landscape—A Survey of the Interactions Between Robots and Modern Cities | 1 | 0.36 | 2020 |
| Effective Use of Personal Health Records to Support Emergency Services. | 0 | 0.34 | 2020 |
| Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics. | 0 | 0.34 | 2020 |
| Modelling and Querying Lists in RDF. A Pragmatic Study. | 0 | 0.34 | 2019 |
| SPARQL Query Recommendation by Example - Assessing the Impact of Structural Analysis on Star-Shaped Queries. | 0 | 0.34 | 2019 |
| Exploring Task-agnostic, ShapeNet-based Object Recognition for Mobile Robots. | 0 | 0.34 | 2019 |
| Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry. | 0 | 0.34 | 2019 |
| Introduction to the special issue on the 50th anniversary of IJHCS. | 0 | 0.34 | 2019 |
| A User-friendly Interface to Control ROS Robotic Platforms. | 0 | 0.34 | 2018 |
| Ontology-Based Recommendation of Editorial Products. | 2 | 0.40 | 2018 |
| Geographical Trends in Research: A Preliminary Analysis on Authors' Affiliations. | 0 | 0.34 | 2018 |
| Supporting Springer Nature Editors by means of Semantic Technologies. | 1 | 0.36 | 2017 |
| 2100 AI: Reflections on the Mechanisation of Scientific Discovery. | 0 | 0.34 | 2017 |
| TechMiner: Extracting Technologies from Academic Publications. | 5 | 0.51 | 2016 |
| Addressing exploitability of Smart City data | 5 | 0.44 | 2016 |
| Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies. | 0 | 0.34 | 2016 |
| Klink-2: integrating multiple web sources to generate semantic topic networks | 18 | 1.19 | 2015 |
| Making sense of description logics | 2 | 0.39 | 2015 |
| An Ontology Design Pattern to Define Explanations | 3 | 0.44 | 2015 |
| A Bottom-Up Approach for Licences Classification and Selection | 8 | 0.73 | 2015 |
| Towards Linked Data Fact Validation through Measuring Consensus. | 4 | 0.45 | 2015 |
| Bottom-Up Ontology Construction with Contento. | 1 | 0.35 | 2015 |
| Using Neural Networks to Aggregate Linked Data Rules. | 1 | 0.34 | 2014 |
| Understanding Research Dynamics. | 2 | 0.39 | 2014 |
| Inferring Semantic Relations by User Feedback. | 1 | 0.40 | 2014 |
| Early analysis and debugging of linked open data cubes | 1 | 0.35 | 2014 |
| Dedalo: Looking for Clusters Explanations in a Labyrinth of Linked Data. | 13 | 0.80 | 2014 |
| The Usability of Description Logics - Understanding the Cognitive Difficulties Presented by Description Logics. | 5 | 0.48 | 2014 |
| An empirical perspective on representing time | 4 | 0.44 | 2013 |
| Exploring Research Trends with Rexplore. | 3 | 0.45 | 2013 |
| Poweraqua: supporting users in querying and exploring the semantic web | 29 | 1.52 | 2012 |
| Making Sense of Research with Rexplore. | 5 | 0.55 | 2012 |
| Realizing networks of proactive smart products | 1 | 0.36 | 2012 |
| A novel approach to visualizing and navigating ontologies | 32 | 1.28 | 2011 |
| wayOU: linked data-based social location tracking in a large, distributed organisation | 4 | 0.75 | 2011 |
| Is question answering fit for the semantic web?: a survey | 32 | 1.44 | 2011 |
| Extracting relevant questions to an RDF dataset using formal concept analysis | 11 | 0.79 | 2011 |
| Linking data across universities: an integrated video lectures dataset | 14 | 1.14 | 2011 |
| What should i link to? identifying relevant sources and classes for data linking | 16 | 0.83 | 2011 |
| Predicting the quality of semantic relations by applying Machine Learning classifiers | 0 | 0.34 | 2010 |
| Data Linking: Capturing and Utilising Implicit Schema-level Relations | 10 | 0.88 | 2010 |
| Using ontological contexts to assess the relevance of statements in ontology evolution | 9 | 0.62 | 2010 |
| Capturing Emerging Relations between Schema Ontologies on the Web of Data. | 10 | 0.77 | 2010 |
| Scaling Up Question-Answering to Linked Data | 25 | 1.23 | 2010 |
