LBD 2020 Workshop date: May 11, 2020
Theme: Discovering New Frontiers
Literature-based discovery (LBD) addresses a key knowledge discovery challenge of the Big Data era: How to generate novel and actionable knowledge from vast, diverse, and seemingly disconnected fragments of information. Incorporating state-of-the-art data science, natural language processing, and network science techniques, LBD methods and algorithms have the potential to revolutionize drug discovery and repurposing, gene-disease association discovery, and many other applications in bioinfomatics and other fields.
LBD 2020 is the first international forum fully dedicated to literature-based discovery research. It is an excellent opportunity for active researchers and LBD enthusiasts to share their ongoing work, to form collaborations, and to identify grand research challenges. The workshop theme “Discovering New Frontiers” not only reflects its increasingly pervasive applications, but also the timely re-thinking of its future directions. The workshop shall be an important milestone this field.
Submitted papers may include, but are not limited to, the following topics:
- Information retrieval, novel search and ranking techniques
- Language models, NLP, document representation
- Question answering
- Cross- and multi-lingual search
- Graph mining, query and link analysis
- Interactive and personalized search, modeling search activity
- User-centered interaction studies and evaluation methods
- Science mapping
- New datasets
- Algorithms in knowledge discovery, machine learning, deep learning, word embedding
- New models of LBD beyond the classic ABC model
- LBD visualization
Papers that describe experimental studies are especially welcome.
Submission and Peer Review
Regular papers (maximum 8 pages) should be prepared in English and follow the Springer Lecture Notes in Computer Science (LNCS) template, downloadable from here. All papers must be submitted via our EasyChair submission page and will go through a single-blind peer review process. Only manuscripts in PDF or Microsoft Word format will be accepted. Submitting a paper to the workshop means that the authors agree that at least one author should attend the workshop to present the paper, if the paper is accepted. For no-show authors, their affiliations will receive a notification.
To encourage free discussion of new ideas and works in progress, accepted papers need not be ready for formal publication. However, if authors would like their papers to be considered for the LNCS/LNAI post Proceedings of PAKDD Workshops published by Springer (indexed by EI Compendex, ISI Proceedings, and Scopus), please indicate this at the time of submission, and the Program Committee will review the submission for suitability, including suggestions for revision/expansion of the paper. The journal Frontiers in Research Metrics and Analytics is also planning an Article Collection on literature-based discovery; details on how authors may submit their papers to this Collection will be forthcoming.
For further inquiries, please email Yakub Sebastian at firstname.lastname@example.org