Search Results for author: Harald Sack

Found 12 papers, 3 papers with code

Multimodal Search on Iconclass using Vision-Language Pre-Trained Models

no code implementations23 Jun 2023 Cristian Santini, Etienne Posthumus, Mary Ann Tan, Oleksandra Bruns, Tabea Tietz, Harald Sack

Terminology sources, such as controlled vocabularies, thesauri and classification systems, play a key role in digitizing cultural heritage.

Information Retrieval Language Modelling +1

RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs

1 code implementation21 Nov 2022 Genet Asefa Gesese, Harald Sack, Mehwish Alam

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.

Inductive Link Prediction Knowledge Graphs +1

A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals

1 code implementation24 Jan 2022 Cristian Santini, Genet Asefa Gesese, Silvio Peroni, Aldo Gangemi, Harald Sack, Mehwish Alam

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.

Blocking Knowledge Graph Embeddings +1

MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving Factors

1 code implementation17 Aug 2021 Yiyi Chen, Harald Sack, Mehwish Alam

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.

Entity Linking Hate Speech Detection +1

Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019

no code implementations22 Dec 2020 Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda Amaral, Claudia d'Amato, Luigi Asprino, Martin Beno, Felix Bensmann, Russa Biswas, Ling Cai, Riley Capshaw, Valentina Anita Carriero, Irene Celino, Amine Dadoun, Stefano De Giorgis, Harm Delva, John Domingue, Michel Dumontier, Vincent Emonet, Marieke van Erp, Paola Espinoza Arias, Omaima Fallatah, Sebastián Ferrada, Marc Gallofré Ocaña, Michalis Georgiou, Genet Asefa Gesese, Frances Gillis-Webber, Francesca Giovannetti, Marìa Granados Buey, Ismail Harrando, Ivan Heibi, Vitor Horta, Laurine Huber, Federico Igne, Mohamad Yaser Jaradeh, Neha Keshan, Aneta Koleva, Bilal Koteich, Kabul Kurniawan, Mengya Liu, Chuangtao Ma, Lientje Maas, Martin Mansfield, Fabio Mariani, Eleonora Marzi, Sepideh Mesbah, Maheshkumar Mistry, Alba Catalina Morales Tirado, Anna Nguyen, Viet Bach Nguyen, Allard Oelen, Valentina Pasqual, Heiko Paulheim, Axel Polleres, Margherita Porena, Jan Portisch, Valentina Presutti, Kader Pustu-Iren, Ariam Rivas Mendez, Soheil Roshankish, Sebastian Rudolph, Harald Sack, Ahmad Sakor, Jaime Salas, Thomas Schleider, Meilin Shi, Gianmarco Spinaci, Chang Sun, Tabea Tietz, Molka Tounsi Dhouib, Alessandro Umbrico, Wouter van den Berg, Weiqin Xu

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.

Common Sense Reasoning Knowledge Graphs

Entity Type Prediction in Knowledge Graphs using Embeddings

no code implementations28 Apr 2020 Russa Biswas, Radina Sofronova, Mehwish Alam, Harald Sack

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.

Entity Typing Information Retrieval +5

Is Aligning Embedding Spaces a Challenging Task? A Study on Heterogeneous Embedding Alignment Methods

no code implementations21 Feb 2020 Russa Biswas, Mehwish Alam, Harald Sack

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.

Entity Disambiguation Question Answering +1

A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?

no code implementations28 Oct 2019 Genet Asefa Gesese, Russa Biswas, Mehwish Alam, Harald Sack

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.

Entity Linking Knowledge Graph Embeddings +4

Crowdsourced Corpus with Entity Salience Annotations

no code implementations LREC 2016 Milan Dojchinovski, Dinesh Reddy, Tom{\'a}{\v{s}} Kliegr, Tom{\'a}{\v{s}} Vitvar, Harald Sack

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

no code implementations1 Apr 2016 Jörg Waitelonis, Harald Sack

This paper presents the KEA system at the #Microposts 2016 NEEL Challenge.

Entity Disambiguation Entity Linking

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