AgBioData-LIST August 2023

agbiodata-list@bioinfo.wsu.edu

1 participants
2 discussions

REMINDER - Monthly Webinar Next Wed, Sept 6th, at 12 PM CT

by Annarita Marrano

Hi everybody, Join us next Wed, *Sept 6th, *at 12 PM CT for our monthly webinar. We will have* Harry Caufield <https://github.com/caufieldjh>,* Lawrence Berkeley National Laboratory, talking about how *SPIRES* implements Large Language Models (LLMs) to extract structured knowledge in agricultural science and beyond. I have included below more details about the webinar and the Zoom link to attend the webinar. I hope you will join us. Best, Annarita :-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-: Presenters: Harry Caufield <https://github.com/caufieldjh>, Lawrence Berkeley National Laboratory Abstract: *Staying grounded: assembling structured biological knowledge with help from large language models* Developing comprehensive knowledge bases and ontologies demands meticulous curation. The emergence of highly flexible, artificial intelligence-driven approaches to natural language processing offers novel ways to expedite this process. Current methods often rely on extensive training data, however, and struggle with complex, nested knowledge structures. In this talk, I will describe a new approach, Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES). This method for information extraction leverages the capability of Large Language Models (LLMs) to perform zero-shot learning (ZSL) with a variety of natural-language prompts. SPIRES operates with predefined data schemas, enabling information extraction that adheres to these structures. It also grounds concepts with well-established ontologies and vocabularies, avoiding the "hallucinations" common to text generated by LLMs. Within OntoGPT, an LLM-querying framework we have developed, SPIRES supports rapid application to summarization and modeling across plant science and biology. Notably, this approach allows customization for new tasks and topics without a need for new training data. We have found that OntoGPT and SPIRES are capable of extracting structured knowledge from large literature collections and constructing knowledge graphs from the resulting relationships. Through harnessing the language comprehension capabilities of LLMs, SPIRES streamlines knowledge acquisition from across agricultural science and beyond. *| 1P ET | 12P CT | 11A MT | 10A PT |* Find your local time here <https://www.timeanddate.com/worldclock/fixedtime.html?msg=September+AgBioDa…> Topic: AgBioData Monthly Webinar Time: This is a recurring meeting Meet anytime Join Zoom Meeting https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09 Meeting ID: 820 3835 6125 Passcode: 160683 --- One tap mobile +15642172000,,82038356125#,,,,*160683# US +16469313860,,82038356125#,,,,*160683# US --- Dial by your location • +1 564 217 2000 US • +1 646 931 3860 US • +1 669 444 9171 US • +1 669 900 6833 US (San Jose) • +1 689 278 1000 US • +1 719 359 4580 US • +1 929 205 6099 US (New York) • +1 253 205 0468 US • +1 253 215 8782 US (Tacoma) • +1 301 715 8592 US (Washington DC) • +1 305 224 1968 US • +1 309 205 3325 US • +1 312 626 6799 US (Chicago) • +1 346 248 7799 US (Houston) • +1 360 209 5623 US • +1 386 347 5053 US • +1 507 473 4847 US Meeting ID: 820 3835 6125 Passcode: 160683 Find your local number: https://us06web.zoom.us/u/kF3akiFg7

8 months

REMINDER - TOMORROW (12 PM CT) Virtual Round-table on phenotypic data management!!!

by Annarita Marrano

Hi everybody, Join us tomorrow, *August 2nd, *at 12 PM CT for a *virtual round-table discussion on phenotypic data management issues*! In Year 2 of our current NSF RCN grant, the AgBioData database community indicated sharing and managing phenotypic data as one of the primary data issues to address. We have surveyed our member databases, and many of them agreed that curating phenotypic data is challenging due to *their diversity in terms of data types* (e.g., images vs. spreadsheets) *and data sources* (e.g., breeding program, experimental trials, or literature), *as well as the lack of standardization*. We are inviting the AgBioData member databases and the larger community to discuss these challenges to understand their importance for AgBioData member databases and if they can be addressed entirely or partially in a new AgBioData working group. As usual, the meeting will be 1-hour long and will feature breakout room sessions! *Zoom link to attend the event at the bottom of this email.* I hope you will join us. Best, Annarita :-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-:-: *| 1P ET | 12P CT | 11A MT | 10A PT |* Find your local time here <https://www.timeanddate.com/worldclock/fixedtime.html?msg=Round-Table+discu…> Topic: AgBioData Monthly Webinar Time: This is a recurring meeting Meet anytime Join Zoom Meeting https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09 Meeting ID: 820 3835 6125 Passcode: 160683 --- One tap mobile +19292056099,,82038356125#,,,,*160683# US (New York) +13017158592,,82038356125#,,,,*160683# US (Washington DC) --- Dial by your location • +1 929 205 6099 US (New York) • +1 301 715 8592 US (Washington DC) • +1 305 224 1968 US • +1 309 205 3325 US • +1 312 626 6799 US (Chicago) • +1 646 931 3860 US • +1 253 205 0468 US • +1 253 215 8782 US (Tacoma) • +1 346 248 7799 US (Houston) • +1 360 209 5623 US • +1 386 347 5053 US • +1 507 473 4847 US • +1 564 217 2000 US • +1 669 444 9171 US • +1 669 900 6833 US (San Jose) • +1 689 278 1000 US • +1 719 359 4580 US Meeting ID: 820 3835 6125 Passcode: 160683 Find your local number: https://us06web.zoom.us/u/kF3akiFg7

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AgBioData-LIST August 2023