The Biomedical Linked Annotation Hackathons are organized as a one-day symposium and a three-day hackathon. The symposium day consists of a series of keynote addresses and talks by participants. The hackathon focuses on projects proposed by the participants themselves.
*We invite proposals for symposium talks and associated projects. *The idea is that the symposium talk presents a project idea, with the goal of recruiting other participants to work on it. Participants then choose which project(s!) to participate in, and the hackathon itself is built around those projects. (Other projects are welcome, but the probability of recruiting other participants to *your* project is higher if you present it on the symposium day.)
Consistent with BLAH's role as an open forum for work on linking resources for biomedical text mining, we solicit proposals for projects on resources, linking, biomedical text mining, and applications of those three in combination. Examples of good BLAH5 topics include:
- Annotated data sets
- Annotation tools
- Applications of linked annotations
- Usability testing
- User interface design issues
- Reproducibility issues
Proposals should be 1-2 pages long in PDF and should include:
1. A description of the project
2. The global motivation for the project
3. Specific realistic goals for the period of the hackathon
4. An explanation of how the hackathon environment would contribute to
realization of the project
5. A plan for evaluating the work
6. Request for travel support
<http://blah5.linkedannotation.org/travelsupports>, if it is needed
See below for specific criteria that you should address for proposals related to (1) annotated data sets, (2) annotation tools, and (3) applications.
- *Submission due: 7th (Friday) December, 2018*
- *Notification : 21st (Friday) December, 2018*
The submissions will be reviewed to determine their suitability for BLAH5. Selected proposals will be presented for the first day symposium. We expect successful proposals to find interested participants who will collaborate on them during the hackathon.
*Criteria for specific proposal types* Annotated data sets If you have a data set of literature annotation (particularly to PubMed or PubMed Central articles), e.g. the NCBI disease corpus <http://www.ncbi.nlm.nih.gov/CBBresearch/Dogan/DISEASE/> which contains disease annotations of 793 articles, you may want to make it interoperable with other annotations, to improve its own value and to find new applications of it. You can find other annotations contributed through previous BLAH at the PubAnnotation homepage <http://www.pubannotation.org/>.
Prospective contributors are asked to submit a description of the data sets (1-2 pages) which should include:
- name of the text annotation data
- the name and e-mail address of the contact person(s)
- how the base texts are collected
- how the annotations are developed, e.g., manually or automatically
- a small piece of example and a detailed description of it
- reference to relevant publications or web pages if any
- license policy (Creative Commons <https://creativecommons.org/>
*Alternatively, and more ideally, a homepage may be prepared* with descriptions of all the above aspects. In the case, simply the URL of the homepage can be submitted.
Expected types of annotations to be submitted may include, but not be limited to:
- Manual or automatic annotations
- Semantic or syntactic annotations
- Biological or clinical annotations
Annotation tools We refer here to tools for manual *or *automatic annotation. We solicit tools and systems for production of literature annotation which will willingly be publicly available. Prospective tools will be supported to be made inter-operable with other tools (mainly through REST API and JSON).
As an example, a way of linking an automatic annotation tool from PubAnnotation is described in this document <http://www.pubannotation.org/docs/annotation-server-api/>. Also, a way of making an annotation editor compatible with PubAnnotation is described in this document <http://www.pubannotation.org/docs/annotation-editor/>.
Expected type of contribution will include, but not limited to:
- visualization (e.g., TextAE <http://textae.pubannotation.org/>)
- automatic annotation (e.g., TagTog <https://www.tagtog.net/>)
- format conversion (e.g., simple_bioc
Prospective contributors are asked to submit a description of the tools (1-2 pages) with reference to relevant publications if any. Successful contributions must
- be web-based applications,
- guarantee free access without restriction to the public,
- open-source software is desired.
- provide RESTful APIs for programmable access, and
- provide comprehensive online documentation.
Alternatively, and more ideally, a homepage may be prepared with descriptions of all the above aspects. In that case, simply the URL of the homepage can be submitted. Applications of linked literature annotation To promote next generation text mining research based on the linked literature annotation resources, we also call for position papers to present innovative ideas of utilizing or extending the potential of the linked annotation resources.
Scope of interest may include, but not be limited to:
- applications which can be linked to biologically or medically
- integration of existing workflows
- tools for utilization of linked resources, e.g., analysis,
visualization, conversion, mining
A submission may consist of up to 1000 words with figures and tables. A submission shall be a PDF file which includes all the figures and tables.
It is expected that successful proposals shall present
- proof-of-concept examples
- data sets to be used (if the data sets are developed by other groups,
submitting a joint proposal is recommended)
For each accepted proposal, it is expected that at least one author shall attend the BLAH hackathon/symposium to present the work to seek potential collaboration with other meeting attendees (e.g. data providers). Program Committee
- Jin-Dong Kim - DBCLS, ROIS
- Kevin Bretonnel Cohen - U. Colorado
- Nigel Collier - U. Cambridge
- Zhiyong Lu - NCBI, NLM
- Fabio Rinaldi - U. Zurich -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 14132 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20181124/493a10ab/attachment.txt>