Search Results for author: Jan Portisch

Found 15 papers, 6 papers with code

KERMIT - A Transformer-Based Approach for Knowledge Graph Matching

no code implementations29 Apr 2022 Sven Hertling, Jan Portisch, Heiko Paulheim

One of the strongest signals for automated matching of knowledge graphs and ontologies are textual concept descriptions.

Graph Matching Knowledge Graphs +1

Walk this Way! Entity Walks and Property Walks for RDF2vec

no code implementations5 Apr 2022 Jan Portisch, Heiko Paulheim

RDF2vec is a knowledge graph embedding mechanism which first extracts sequences from knowledge graphs by performing random walks, then feeds those into the word embedding algorithm word2vec for computing vector representations for entities.

Knowledge Graph Embedding Knowledge Graphs

Matching with Transformers in MELT

no code implementations15 Sep 2021 Sven Hertling, Jan Portisch, Heiko Paulheim

One of the strongest signals for automated matching of ontologies and knowledge graphs are the textual descriptions of the concepts.

Graph Matching Knowledge Graphs +1

Putting RDF2vec in Order

1 code implementation11 Aug 2021 Jan Portisch, Heiko Paulheim

The RDF2vec method for creating node embeddings on knowledge graphs is based on word2vec, which, in turn, is agnostic towards the position of context words.

Knowledge Graphs Position

Background Knowledge in Schema Matching: Strategy vs. Data

1 code implementation29 Jun 2021 Jan Portisch, Michael Hladik, Heiko Paulheim

The use of external background knowledge can be beneficial for the task of matching schemas or ontologies automatically.

Knowledge Graphs

FinMatcher at FinSim-2: Hypernym Detection in the Financial Services Domain using Knowledge Graphs

no code implementations2 Mar 2021 Jan Portisch, Michael Hladik, Heiko Paulheim

This paper presents the FinMatcher system and its results for the FinSim 2021 shared task which is co-located with the Workshop on Financial Technology on the Web (FinWeb) in conjunction with The Web Conference.

Knowledge Graphs

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

Supervised Ontology and Instance Matching with MELT

no code implementations20 Sep 2020 Sven Hertling, Jan Portisch, Heiko Paulheim

In this paper, we present MELT-ML, a machine learning extension to the Matching and EvaLuation Toolkit (MELT) which facilitates the application of supervised learning for ontology and instance matching.

BIG-bench Machine Learning

Visual Analysis of Ontology Matching Results with the MELT Dashboard

no code implementations27 Apr 2020 Jan Portisch, Sven Hertling, Heiko Paulheim

In this demo, we introduce MELT Dashboard, an interactive Web user interface for ontology alignment evaluation which is created with the existing Matching EvaLuation Toolkit (MELT).

Ontology Matching

KGvec2go -- Knowledge Graph Embeddings as a Service

no code implementations LREC 2020 Jan Portisch, Michael Hladik, Heiko Paulheim

In this paper, we present KGvec2go, a Web API for accessing and consuming graph embeddings in a light-weight fashion in downstream applications.

Knowledge Graph Embeddings Knowledge Graphs

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