FALCON: An Entity and Relation Linking Framework over DBpedia

verfasst von

Ahmad Sakor, Kuldeep Singh, Maria Esther Vidal

Abstract

We tackle the problem of entity and relation linking and present FALCON, a rule-based tool able to accurately map entities and relations in short texts to resources in a knowledge graph. FALCON resorts to fundamental principles of the English morphology (e.g., compounding and headword identification) and performs joint entity and relation linking against a short text. We demonstrate the benefits of the rule-based approach implemented in FALCON on short texts composed of various types of entities. The attendees will observe the behavior of FALCON on the observed limitations of Entity Linking (EL) and Relation Linking (RL) tools. The demo is available at labs.tib.eu/falcon/.

Organisationseinheit(en)

Forschungszentrum L3S

Externe Organisation(en)

Technische Informationsbibliothek (TIB) Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
Nuance Communications GmbH

Typ

Konferenzaufsatz in Fachzeitschrift

Journal

CEUR Workshop Proceedings

Band

2456

Seiten

265-268

Anzahl der Seiten

4

ISSN

1613-0073

Publikationsdatum

2019

Publikationsstatus

Veröffentlicht

ASJC Scopus Sachgebiete

Informatik (insg.)

Elektronische Version(en)

https://ceur-ws.org/Vol-2456/paper69.pdf (Zugang: Offen)