FALCON 2.0:

FALCON 2.0 is an entity and relation linking tool over Wikidata. FALCON 2.0 identifies the relations and entities in a short text or question. Then link them to their corresponding URI in Wikidata knowledge graph. FALCON 2.0 links relations based on the recognized entities, which makes the chance of linking the correct relations higher.
FALCON 2.0 can be used in two modes:
1) Linking entities in short text
2) Linking relations and entities in sentences and questions.

Cite our work


@inproceedings{10.1145/3340531.3412777,
author = {Sakor, Ahmad and Singh, Kuldeep and Patel, Anery and Vidal, Maria-Esther},
title = {Falcon 2.0: An Entity and Relation Linking Tool over Wikidata},
year = {2020},
isbn = {9781450368599},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3340531.3412777},
doi = {10.1145/3340531.3412777},
abstract = {The Natural Language Processing (NLP) community has significantly contributed to the solutions for entity and relation recognition from a natural language text, and possibly linking them to proper matches in Knowledge Graphs (KGs). Considering Wikidata as the background KG, there are still limited tools to link knowledge within the text to Wikidata. In this paper, we present Falcon 2.0, the first joint entity and relation linking tool over Wikidata. It receives a short natural language text in the English language and outputs a ranked list of entities and relations annotated with the proper candidates in Wikidata. The candidates are represented by their Internationalized Resource Identifier (IRI) in Wikidata. Falcon 2.0 resorts to the English language model for the recognition task (e.g., N-Gram tiling and N-Gram splitting), and then an optimization approach for the linking task. We have empirically studied the performance of Falcon 2.0 on Wikidata and concluded that it outperforms all the existing baselines. Falcon 2.0 is open source and can be reused by the community; all the required instructions of Falcon 2.0 are well-documented at our GitHub repository (https://github.com/SDM-TIB/falcon2.0). We also demonstrate an online API, which can be run without any technical expertise. Falcon 2.0 and its background knowledge bases are available as resources at https://labs.tib.eu/falcon/falcon2/.},
booktitle = {Proceedings of the 29th ACM International Conference on Information & Knowledge Management},
pages = {3141–3148},
numpages = {8},
keywords = {entity linking, english morphology, dbpedia, wikidata, background knowledge, relation linking, nlp},
location = {Virtual Event, Ireland},
series = {CIKM '20}
}


Source Code on Github:


https://github.com/SDM-TIB/falcon2.0

Contact:


sakor@l3s.de