Pasquale Lisena

dblp:152/9300 · DBLP profile ↗
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8ranked-venue papers in the field
3as first author
5since 2021 · last 2025
0000-0003-3094-5585ORCID · verified

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 5 (2 first)Information Retrieval & Web Search · 3 (1 first)
YearPublicationVenuePosition
2025 A Language Model-Based Playlist Generation Recommender System
Enzo Charolois-Pasqua, Eléa Vellard, Youssra Rebboud, Pasquale Lisena, Raphaël Troncy
RecSys4
2025 Interactive Playlist Generation from Titles
Eléa Vellard, Enzo Charolois-Pasqua, Youssra Rebboud, Pasquale Lisena, Raphaël Troncy
RecSys4
2022 Beyond Causality: Representing Event Relations in Knowledge Graphs
Youssra Rebboud, Pasquale Lisena, Raphaël Troncy
EKAW2
2022 Capturing the Semantics of Smell: The Odeuropa Data Model for Olfactory Heritage Information
Pasquale Lisena, Daniel Schwabe 0001, Marieke van Erp, Raphaël Troncy, William Tullett, Inger Leemans, Lizzie Marx, Sofia Colette Ehrich
ESWC1
2022 SPARQL Endpoints and Web API (SWApi)
Pasquale Lisena, Albert Meroño-Peñuela
ICWE1
2019 Easy Web API Development with SPARQL Transformer
Pasquale Lisena, Albert Meroño-Peñuela, Tobias Kuhn, Raphaël Troncy
ISWC (2)1
2018 DOREMUS: A Graph of Linked Musical Works
abstract
Three major French cultural institutions—the French National Library (BnF), Radio France and the Philharmonie de Paris—have come together in order to develop shared methods to describe semantically their catalogs of music works and events. This process comprises the construction of knowledge graphs representing the data contained in these catalogs following a novel agreed upon ontology that extends CIDOC-CRM and FRBRoo, the linking of these graphs and their open publication on the web. A number of specialized tools that allow for the reproduction of this process are developed, as well as web applications for easy access and navigation through the data. The paper presents one of the main outcomes of this project—the DOREMUS knowledge graph, consisting of three linked datasets describing classical music works and their associated events (e.g., performances in concerts). This resource fills an important gap between library content description and music metadata. We present the DOREMUS pipeline for lifting and linking the data, the tools developed for these purposes, as well as a search application allowing to explore the data.
Manel Achichi, Pasquale Lisena, Konstantin Todorov, Raphaël Troncy, Jean Delahousse
ISWC (2)2
2018 A Novel Ensemble Method for Named Entity Recognition and Disambiguation Based on Neural Network
Lorenzo Canale, Pasquale Lisena, Raphaël Troncy
ISWC (1)2