[Corpora-List] [CFP] Text2KG 2022 - International Workshop on Knowledge Graph Generation from Text co-located with ESWC 2022

Jennifer D'Souza jenlindadsouza at gmail.com
Mon Jan 3 08:24:08 CET 2022

[apologies if you receive multiple copies of this call]

Dear colleagues and friends,

We are pleased to release the Call for Papers to the International Workshop on Knowledge Graph Generation from Text (Text2KG) co-located with the ESWC 2022.

***URL*** https://aiisc.ai/text2kg/

***Workshop Overview** *

Knowledge Graphs are getting traction in both academia and in the industry as one of the key elements of AI applications. They are being recognized as an important and essential resource in many downstream tasks such as question answering, recommendation, personal assistants, business analytics, business automation, etc. Even though there are large knowledge graphs built with crowdsourcing such as Wikidata or using semi-structured data such as DBpedia or Yago or from structured data such as relational databases, building knowledge graphs from text corpora still remains an open challenge.

The workshop welcomes a broad range of papers including full research papers, negative results, position papers, dataset, and system demos examining the wide range of issues and processes related to knowledge graphs generation from text corpora including, but not limited to entity linking, relation extraction, knowledge representation, and Semantic Web. Papers on resources (methods, tools, benchmarks, libraries, datasets) are also welcomed.

One best paper will be selected for a prize with an industrial sponsor.

***Topics of Interest***

We are interested in (including but not limited to) the following themes and topics that study the generation of Knowledge Graphs from text, based on quantitative, qualitative, and mixed research methods.

- Approaches for generating Knowledge Graphs from text

- Ontologies for representing provenance/metadata of generated

Knowledge Graphs

- Benchmarks for KG generation from text

- Evaluation methods for KGs generated from text

- Industrial applications involving KGs generation from text

- Entity and relation extraction

- Entity and relation linking

- Semantic Parsing

- Open Information Extraction

- Deep Learning and Generative approaches

- Human-in-the-loop methods


Paper submissions due: February 28th, 2022 Final decision notification: March 28th, 2022 Camera-ready submissions due: April 11th, 2022

***Submission Information***

All submissions are double-blind and a high-resolution PDF of the paper should be uploaded to the EasyChair submission site <https://easychair.org/conferences/?conf=text2kg> before the paper submission deadline. The accepted papers will be presented at the Text2KG workshop integrated with the ESWC conference, and they will be published as Springer’s Lecture Notes in Computer Science series <https://2022.eswc-conferences.org/>. Papers are to be formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer’s Author Instructions <https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines> . Submission Link: https://easychair.org/conferences/?conf=text2kg

***Contact Person***

Sanju Tiwari tiwarisanju18 at ieee.org

***Organizing Committee***

Sanju Tiwari, UAT Mexico Nandana Mihindukulasooriya, MIT-IBM Watson AI Lab, USA Francesco Osborne, KMi, The Open University Dimitris Kontokostas, Diffbot, Greece Jennifer D’Souza, TIB, Germany Mayank Kejriwal, University of Southern California, USA Joey Yip, University of South Carolina, USA

***Advisory Committee***

Amit Sheth, University of South Carolina, USA Sören Auer, Leibniz University of Hannover and TIB, Germany Enrico Motta, The Open University, United Kingdom Anna Fensel, Wageningen University & Research & University of Innsbruck, Austria Maria Esther Vidal, Leibniz University of Hannover and TIB, Germany Fernando Ortiz-Rodriguez, Universidad Autonoma de Tamaulipas, Mexico Sven Groppe, University of Lubeck, Germany -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 6786 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20220103/f44942b6/attachment.txt>

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