GTM2018: 8th Global TechMining Conference Stadsgehoorzaal Leiden, Netherlands, September 11, 2018 |
Conference website | http://www.gtmconference.org/ |
Submission link | https://easychair.org/conferences/?conf=gtm20180 |
Conference program | https://easychair.org/smart-program/GTM2018/ |
Abstract registration deadline | April 15, 2018 |
Submission deadline | April 15, 2018 |
Tech Mining, a special form of “Big Data” analytics, aims to generate Competitive Technical Intelligence (CTI) using bibliometric and text-mining software (e.g., VantagePoint, TDA) as well as other analytical & visualization applications for analyses of Science, Technology & Innovation (ST&I) text-based information resources. The goal of the conference is to ENGAGE cross-disciplinary networks of analysts, software specialists, researchers, policymakers, and managers to ADVANCE the use of textual information in multiple science, technology, and business development fields.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following submission categories are welcome:
- Special sessions. Sessions provide a multi-perspective presentation on an issue facing the field of tech mining. The overall abstract should describe the general session topic and how two presenters (45 minute session), three presenters (60 minute session) or four (90 minute session) will offer coordinated oral presentations.
- Papers. Oral presentations (15 minutes + questions) to address well-advanced research.
- Power Talks. Power talks consist of an abbreviated oral presentation (5 minutes, 4 PowerPoint slides). Power talk presenters are also invited to present a poster in the preceding evening’s ATLC-GTM Joint Reception if desired. The objective of the abbreviated oral presentation is to deliver a lively, concise description of your research and its impacts.
- Posters
List of Topics
Maximizing potential of traditional and novel text data: Tapping vital traits while minding limitations and matching analytical aims.
- resolving data hygiene issues generated by multiple sources
- ways to address newer data sources (e.g., web scraping, social media cumulations)
- transitioning from database mining to real-time streaming text analytics
- data structures and lattices
Advancing and integrating methods.
- tracking emergence by extracting topical content via advanced natural language processing, term clumping, topic modelling, etc.
- ways to demonstrate multi-dimensional indicators of R&D & innovation activity
- means to combine quantitative and qualitative approaches in practical case applications
- algorithms for identification of emergence (of technologies and inception of notable innovations)
- discovering the higher-level properties of (complex) social networks
Translating analyses to useful intelligence: Informative indicators and compelling visualizations.
- case studies that offer testable projections (specific, explicit) to enable future revisiting to validate methods.
- visual analytics capabilities, both for analysts and for end-users
Committees
Program Committee
- Alan L. Porter
- Denise Chiavetta
Contact
All questions about submissions should be emailed to dchiavetta@searchtech.com