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Found 17 papers, 6 papers with code
Semantic Web and Creative AI -- A Technical Report from ISWS 2023
ISWS 2023 explored various intersections between Semantic Web technologies and creative AI.
NFDIcore 2.0: A BFO-Compliant Ontology for Multi-Domain Research Infrastructures
This paper presents NFDIcore 2. 0, an ontology compliant with the Basic Formal Ontology (BFO) designed to represent the diverse research communities of the National Research Data Infrastructure (NFDI) in Germany.
NFDI4DSO: Towards a BFO Compliant Ontology for Data Science
The NFDI4DataScience (NFDI4DS) project aims to enhance the accessibility and interoperability of research data within Data Science (DS) and Artificial Intelligence (AI) by connecting digital artifacts and ensuring they adhere to FAIR (Findable, Accessible, Interoperable, and Reusable) principles.
The landscape of ontologies in materials science and engineering: A survey and evaluation
This paper provides an overview of ontologies used in Materials Science and Engineering to assist domain experts in selecting the most suitable ontology for a given purpose.
OAEI Machine Learning Dataset for Online Model Generation
In this paper, we introduce a dataset that contains training, validation, and test sets for most of the OAEI tracks.
Multimodal Search on Iconclass using Vision-Language Pre-Trained Models
Terminology sources, such as controlled vocabularies, thesauri and classification systems, play a key role in digitizing cultural heritage.
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs
In this work, a novel Relation Aware Inductive Link preDiction (RAILD) is proposed for KG completion which learns representations for both unseen entities and unseen relations.
Entity Type Prediction Leveraging Graph Walks and Entity Descriptions
Entity typing is the task of assigning or inferring the semantic type of an entity in a KG.
A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals
These efforts to standardize these data and make them accessible have also led to many challenges such as exploration of scholarly articles, ambiguous authors, etc.
MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving Factors
The goal of this study is the analysis of social media platform to quantify public attitudes towards migrations and the identification of different factors causing these attitudes.
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Although linked open data (LOD) is one knowledge graph, it is the closest realisation (and probably the only one) to a public FAIR Knowledge Graph (KG) of everything.
Entity Type Prediction in Knowledge Graphs using Embeddings
Open Knowledge Graphs (such as DBpedia, Wikidata, YAGO) have been recognized as the backbone of diverse applications in the field of data mining and information retrieval.
Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction
Most Knowledge Graphs (KGs) contain textual descriptions of entities in various natural languages.
Is Aligning Embedding Spaces a Challenging Task? A Study on Heterogeneous Embedding Alignment Methods
Representation Learning of words and Knowledge Graphs (KG) into low dimensional vector spaces along with its applications to many real-world scenarios have recently gained momentum.
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?
This paper conducts a survey of KG embedding models which not only consider the structured information contained in the form of entities and relations in a KG but also the unstructured information represented as literals such as text, numerical values, images, etc.
Crowdsourced Corpus with Entity Salience Annotations
In this paper, we present a crowdsourced dataset which adds entity salience (importance) annotations to the Reuters-128 dataset, which is subset of Reuters-21578.
Named Entity Linking in #Tweets with KEA
This paper presents the KEA system at the #Microposts 2016 NEEL Challenge.
