- University Libraries
- Research Guides
- Topic Guides
- Open Data Week
- ContentMine Programs
Open Data Week: ContentMine Programs
Guest Speakers - Contact Information and Workshop Materials
Thomas Arrow and Stefan Kasberger: contact@contentmine.org
Presentation and workshop materials:
Program Recordings linked below for (1) Intro to ContentMine session and for (2) the Text and Data Mining Forum
ContentMine Instructor Bios
Thomas Arrow: Tom trained as a chemist while always retaining a strong personal interest in computers, programming and Free Open Source Software. These interests gradually combined as he started wanting to use computers not just for open source software but also open science, scholarly works, sharing knowledge. He's a volunteer developer with Wikimedia and has a particular affinity for Wikidata.
Stefan Kasberger: I am a freelance data scientist, training manager and web-developer. Besides I am chairman of Open Knowledge Austria and am studying environmental systems science with focus on geography. I am 33 years old, and am doing research in the field of social computational science. My main focus there is network analysis and geo-spatial analysis. Website
ContentMine
ContentMine is developing open source tools for mining scholarly and research literature. These tools support research on specific topics and exploratory data analysis. “Our software stack provides tools for getting papers from many online sources, normalising them, then processing them to lookup and/or search for key terms, phrases, patterns, statements, and more. The stream of facts is available in a standardized, easy-to-reuse way and that makes it share-able.”
-
More about ContentMine, including Software Downloads and Tutorials: http://contentmine.org/
ContentMine Programs Held
Tuesday, 4/11
Introduction to ContentMine Tools for Mining Scholarly & Research Literature
9:30-10:45am, Newman Multipurpose Room
Online participation was made available via WebEx
Join ContentMine instructors for an overview of text and data mining, and an introduction to ContentMine open source tools for mining scholarly and research literature
Wednesday, 4/12
Introduction to ContentMine Tools for Mining Scholarly & Research Literature
9:00-9:55am, Newman Multipurpose Room
Join ContentMine instructors for an overview of text and data mining, and an introduction to ContentMine open source tools for mining scholarly and research literature
Wednesday, 4/12
Introduction to ContentMine Tools for Life Sciences Research
11:15-12:05pm, Newman MultiPurpose Room
Recording: https://vtechworks.lib.vt.edu/handle/10919/77525
Join students in a computational biochemistry informatics class session for an introduction to ContentMine open source tools for text and data mining to explore research literature sources, with a focus on tools related to mining and exploring content for Life Sciences research (phylogeny and and visualization).
Wednesday, 4/12
Lunch with ContentMine guest speakers and program participants
12:30-1:30
Wednesday, 4/12
Text and Data Mining Forum
2:30-3:45pm, Newman MultiPurpose Room
Panelist Information
Recording: https://vtechworks.lib.vt.edu/handle/10919/77526
A discussion with researchers and ContentMine guests about opportunities and challenges related to text and data mining, with a focus on information access.
Wednesday, 4/12
Introduction to ContentMine Tools for Mining Scholarly & Research Literature:
4:00-5:15pm, Newman ScaleUp Classroom
Join ContentMine instructors for an overview of text and data mining, and an introduction to ContentMine open source tools for mining scholarly and research literature
Thursday, 4/13
ContentMine Tools to Explore Scholarly & Research Literature - Full Day, Hands-On Workshop
9:00am - 4:00pm, Newman 207A
During this workshop participants will: (1) ensure the software is functioning on their laptop computer, (2) participate in individual and group hands-on exercises to become more familiar with ContentMine tools, and (3) have the opportunity to experiment with using ContentMine tools with ContentMine instructors’ support - to mine scholarly literature and explore results specific to their own research project goals. Prior to the workshop, attendees will receive instructions to download software and make any other preparations to get the most of of the workshop.