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ORCIDSemantic Web, Volume 13
Volume 13, Number 1, 2022
- Krzysztof Janowicz, Cogan Shimizu, Pascal Hitzler, Gengchen Mai
, Shirly Stephen, Rui Zhu, Ling Cai, Lu Zhou, Mark Schildhauer, Zilong Liu, Zhangyu Wang, Meilin Shi:
Diverse data! Diverse schemata? 1-3
- Nurefsan Gür, Torben Bach Pedersen, Katja Hose, Mikael Midtgaard:
Multidimensional enrichment of spatial RDF data for SOLAP. 5-39 - Dumitru Roman, Vladimir Alexiev, Javier Paniagua, Brian Elvesæter, Bjørn Marius von Zernichow, Ahmet Soylu, Boyan Simeonov, Chris Taggart:
The euBusinessGraph ontology: A lightweight ontology for harmonizing basic company information. 41-68 - Esko Ikkala, Eero Hyvönen, Heikki Rantala, Mikko Koho:
Sampo-UI: A full stack JavaScript framework for developing semantic portal user interfaces. 69-84 - Rudra Pratap Deb Nath, Oscar Romero, Torben Bach Pedersen, Katja Hose:
High-level ETL for semantic data warehouses. 85-132
Volume 13, Number 2, 2022
- Marcos Daniel Zárate, Germán Alejandro Braun, Mirtha Lewis, Pablo Rubén Fillottrani:
Observational/hydrographic data of the South Atlantic Ocean published as LOD. 133-145 - Guillermo Vega-Gorgojo, José M. Giménez-García, Cristóbal Ordóñez, Felipe Bravo:
Pioneering easy-to-use forestry data with Forest Explorer. 147-162 - Lucie-Aimée Kaffee, Pavlos Vougiouklis, Elena Simperl:
Using natural language generation to bootstrap missing Wikipedia articles: A human-centric perspective. 163-194 - Marilena Daquino, Ivan Heibi, Silvio Peroni, David M. Shotton:
Creating RESTful APIs over SPARQL endpoints using RAMOSE. 195-213 - Lucia Siciliani, Pierpaolo Basile, Pasquale Lops, Giovanni Semeraro:
MQALD: Evaluating the impact of modifiers in question answering over knowledge graphs. 215-231 - Houcemeddine Turki, Mohamed Ali Hadj Taieb, Thomas Shafee, Tiago Lubiana, Dariusz Jemielniak, Mohamed Ben Aouicha, José Emilio Labra Gayo, Eric A. Youngstrom, Mus'ab Banat, Diptanshu Das, Daniel Mietchen:
Representing COVID-19 information in collaborative knowledge graphs: The case of Wikidata. 233-264 - Ahmet Soylu, Óscar Corcho, Brian Elvesæter, Carlos Badenes-Olmedo, Tom Blount, Francisco Yedro Martínez, Matej Kovacic, Matej Posinkovic, Ian Makgill, Chris Taggart, Elena Simperl, Till C. Lech, Dumitru Roman:
TheyBuyForYou platform and knowledge graph: Expanding horizons in public procurement with open linked data. 265-291
Volume 13, Number 3, 2022
- Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack:
Editorial of the Special Issue on Deep Learning and Knowledge Graphs. 293-297 - Erik B. Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen:
Prediction of adverse biological effects of chemicals using knowledge graph embeddings. 299-338 - Golshan Afzali Boroujeni, Heshaam Faili, Yadollah Yaghoobzadeh:
Answer selection in community question answering exploiting knowledge graph and context information. 339-356 - Pasquale Lisena, Albert Meroño-Peñuela, Raphaël Troncy:
MIDI2vec: Learning MIDI embeddings for reliable prediction of symbolic music metadata. 357-377 - Pierre Monnin, Chedy Raïssi, Amedeo Napoli, Adrien Coulet:
Discovering alignment relations with Graph Convolutional Networks: A biomedical case study. 379-398 - Jan Portisch, Nicolas Heist, Heiko Paulheim:
Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction - two sides of the same coin? 399-422 - Sukhwan Jung, Aviv Segev:
Analyzing the generalizability of the network-based topic emergence identification method. 423-439 - Irina Nikishina, Mikhail Tikhomirov, Varvara Logacheva, Yuriy Nazarov, Alexander Panchenko, Natalia V. Loukachevitch:
Taxonomy enrichment with text and graph vector representations. 441-475 - Sebastian Monka, Lavdim Halilaj, Achim Rettinger:
A survey on visual transfer learning using knowledge graphs. 477-510 - Hu Zhang, Jingjing Zhou, Ru Li, Yue Fan:
Network representation learning method embedding linear and nonlinear network structures. 511-526 - Özge Sevgili, Artem Shelmanov, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann:
Neural entity linking: A survey of models based on deep learning. 527-570 - Simon Gottschalk, Elena Demidova:
Tab2KG: Semantic table interpretation with lightweight semantic profiles. 571-597
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