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08/29/2023
Ontologies in Digital Twins: A Systematic Literature Review
Digital Twins (DT) facilitate monitoring and reasoning processes in cybe...
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08/04/2023
Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring
The Sustainable Development Goals (SDGs) were introduced by the United N...
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07/13/2023
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
Knowledge Graph Embedding (KGE) models are used to learn continuous repr...
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06/12/2023
Evaluating FAIR Digital Object and Linked Data as distributed object systems
FAIR Digital Object (FDO) is an emerging concept that is highlighted by ...
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06/06/2023
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs
Knowledge graphs (KGs) are an important tool for representing complex re...
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05/26/2023
Distributional Reinforcement Learning with Dual Expectile-Quantile Regression
Successful applications of distributional reinforcement learning with qu...
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08/13/2022
Self-Contained Entity Discovery from Captioned Videos
This paper introduces the task of visual named entity discovery in video...
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08/09/2022
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes
Node classification utilizing text-based node attributes has many real-w...
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05/30/2022
GLDQN: Explicitly Parameterized Quantile Reinforcement Learning for Waste Reduction
We study the problem of restocking a grocery store's inventory with peri...
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09/11/2021
Making Table Understanding Work in Practice
Understanding the semantics of tables at scale is crucial for tasks like...
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08/14/2021
Packaging research artefacts with RO-Crate
An increasing number of researchers support reproducibility by including...
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07/21/2021
Relational Graph Convolutional Networks: A Closer Look
In this paper, we describe a reproduction of the Relational Graph Convol...
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06/14/2021
GitTables: A Large-Scale Corpus of Relational Tables
The practical success of deep learning has sparked interest in improving...
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01/05/2021
Reinforcement Learning based Collective Entity Alignment with Adaptive Features
Entity alignment (EA) is the task of identifying the entities that refer...
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11/17/2020
Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels
Environmental factors determine the smells we perceive, but societal fac...
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10/16/2020
Effective Distributed Representations for Academic Expert Search
Expert search aims to find and rank experts based on a user's query. In ...
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10/07/2020
Inductive Entity Representations from Text via Link Prediction
We present a method for learning representations of entities, that uses ...
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04/16/2020
Knowledge Scientists: Unlocking the data-driven organization
Organizations across all sectors are increasingly undergoing deep transf...
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11/20/2019
Talking datasets: Understanding data sensemaking behaviours
The sharing and reuse of data are seen as critical to solving the most c...
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09/01/2019
Lost or found? Discovering data needed for research
Finding or discovering data is a necessary precursor to being able to re...
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08/28/2019
A Longitudinal Analysis of University Rankings
In this paper the ARWU, THE and QS global university rankings are studie...
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01/03/2019
Dataset search: a survey
Generating value from data requires the ability to find, access and make...
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11/15/2018
End-to-End Learning for Answering Structured Queries Directly over Text
Structured queries expressed in languages (such as SQL, SPARQL, or XQuer...
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05/30/2018
DATA:SEARCH'18 – Searching Data on the Web
This half day workshop explores challenges in data search, with a partic...
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02/15/2018
Open Information Extraction on Scientific Text: An Evaluation
Open Information Extraction (OIE) is the task of the unsupervised creati...
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01/15/2018
Understanding Data Retrieval Practices: A Social Informatics Perspective
Open research data are heralded as having the potential to increase effe...
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07/21/2017