Context ======= This workshop aims to bring together researchers from multiple focus areas such as Natural Language Processing (NLP), Entity Linking (EL), Relation Extraction (RE), Knowledge Representation and Reasoning (KRR), Deep Learning (DL), Knowledge Base Construction (KBC), Semantic Web, Linked Data, and other related fields to foster a discussion and enhance the state of-the-art in knowledge graph generation from text. The participants will find opportunities to present and hear about other emerging research and applications, to exchange ideas and experiences, and to identify new opportunities for collaborations across disciplines. We plan to involve the many prominent research groups in the Semantic Web community which in the last years focused on the generation of knowledge graphs from textual sources in different fields, such as research data (ORKG, AI-KG, Nanopublications), question answering (ParaQA, NSQA), common sense (CSKG), automotive (CoSI, ASKG), biomedical (Hetionet), and many others. This year, we are also organizing the First International Biochemical Knowledge Extraction Challenge in TEXT2KG Workshop. *Co-located event First International Biochemical Knowledge Extraction Challenge (BiKE-2023)* Most of the structured biochemical information available on the Web today is manually curated, and it is practically impossible to keep pace with the research being constantly published in scientific articles. Within this challenge, we want to speed up and promote research on automatic biochemical knowledge extraction mechanisms with the aim of increasing the information available on natural products to promote the development of environmental-friendly products while increasing awareness of the biodiversity value.Awards: The first, second and third best biochemical knowledge extraction methods are going to be awarded as follows: *First Place*: EUR 1000 *Second Place*: EUR 500 *Third Place*: EUR 250 For further information please visit: https://aksw.github.io/bike/ *TEXT2KG THEMES & TOPICS* 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 *IMPORTANT DATES* Paper submissions due: February 28th, 2023 Final decision notification: March 28th, 2023 Camera-ready submissions due: April 11th, 2023 *Submission Instructions *We invite full research papers, negative results, position papers, dataset and system demo papers. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this workshop. Submissions will be evaluated by the program committee based on the quality of the work and its fit to the workshop themes. All submissions are double-blind and a high-resolution PDF of the paper should be uploaded to the EasyChair submission site before the paper submission deadline. The accepted papers will be presented at the Text2KG workshop integrated with the conference, and they will be published as CEUR proceedings. All must be submitted and formatted in the style of the CEUR proceedings format. For details on CEUR style, see CEUR’s Author Instruction. Overleaf Template: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceurwor... ur-ws-dot-org/wqyfdgftmcfw *Submission Link*: https://easychair.org/conferences/?conf=text2kg0 *Workshop Link*: https://aiisc.ai/text2kg2023/ *Contact Person*: Sanju Tiwari (tiwarisanju18@ieee.org) *Organizing Chairs:* 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, Dimitris Kontokostas, Diffbot, Greece *Publicity Chair:* Joey Yip, University of South Carolina, USA *Advisory Committee* Edlira Vakaj, Birmigham City University, UK Anna Fensel, Wageningen University & Research & University of Innsbruck, Austria Maria Esther Vidal, Leibniz University of Hannover and TIB, Germany ∙ Amit Sheth, University of South Carolina, USA Sören Auer, Leibniz University of Hannover and TIB, Germany Enrico Motta, The Open University, United Kingdom Fernando Ortiz-Rodriguez, Universidad Autonoma de Tamaulipas, Mexico Sven Groppe, University of Lubeck, Germany -- Regards Dr. Sanju Tiwari (PhD, Post-Doc), SMIEEE Sr. Researcher, Universidad Autonoma de Tamaulipas, Mexico Visiting Researcher, InfAI, Leipzig University, Germany DAAD Post-Doc-Net AI Fellow General Chair *KGSWC-2023* (Fourth Indo-American Conference) http://www.kgswc.org <http://www.kgswc.org/indo-american/>/ "Do what you love, Love what you do"