Skip to main content

Semantic Mining of Languages in Biology and Medicine 2015

Edited by: Mariana Neves

The Semantic Mining of Languages in Biology and Medicine thematic series focuses on representation and mining of various languages used in biology and medicine, and in associated disciplines such as chemistry, biodiversity, environmental sciences, pharmacology, etc. The scope and ideas for this series are rooted in two workshops that have been taking place from 2005. The International Symposium on Languages in Biology and Medicine (LBM) is a biennial interdisciplinary forum that brings together researchers in biology, chemistry, medicine, public health and informatics to discuss and exploit cutting edge language technologies.

  1. Research on medical vocabulary expansion from large corpora has primarily been conducted using text written in English or similar languages, due to a limited availability of large biomedical corpora in most la...

    Authors: Magnus Ahltorp, Maria Skeppstedt, Shiho Kitajima, Aron Henriksson, Rafal Rzepka and Kenji Araki
    Citation: Journal of Biomedical Semantics 2016 7:58
  2. Neurodegenerative diseases are incurable and debilitating indications with huge social and economic impact, where much is still to be learnt about the underlying molecular events. Mechanistic disease models co...

    Authors: Anandhi Iyappan, Shweta Bagewadi Kawalia, Tamara Raschka, Martin Hofmann-Apitius and Philipp Senger
    Citation: Journal of Biomedical Semantics 2016 7:45
  3. Clinical Natural Language Processing (NLP) systems require a semantic schema comprised of domain-specific concepts, their lexical variants, and associated modifiers to accurately extract information from clini...

    Authors: William Scuba, Melissa Tharp, Danielle Mowery, Eugene Tseytlin, Yang Liu, Frank A. Drews and Wendy W. Chapman
    Citation: Journal of Biomedical Semantics 2016 7:42
  4. Biomedical event extraction is one of the key tasks in biomedical text mining, supporting various applications such as database curation and hypothesis generation. Several systems, some of which have been appl...

    Authors: Farrokh Mehryary, Suwisa Kaewphan, Kai Hakala and Filip Ginter
    Citation: Journal of Biomedical Semantics 2016 7:27
  5. MicroRNAs are increasingly being appreciated as critical players in human diseases, and questions concerning the role of microRNAs arise in many areas of biomedical research. There are several manually curated...

    Authors: Samir Gupta, Karen E. Ross, Catalina O. Tudor, Cathy H. Wu, Carl J. Schmidt and K. Vijay-Shanker
    Citation: Journal of Biomedical Semantics 2016 7:9
  6. Biomedical text mining may target various kinds of valuable information embedded in the literature, but a critical obstacle to the extension of the mining targets is the cost of manual construction of labeled ...

    Authors: Xu Han, Jung-jae Kim and Chee Keong Kwoh
    Citation: Journal of Biomedical Semantics 2016 7:22

Annual Journal Metrics

  • 2022 Citation Impact
    1.9 - 2-year Impact Factor
    2.6 - 5-year Impact Factor
    0.870 - SNIP (Source Normalized Impact per Paper)
    0.697 - SJR (SCImago Journal Rank)

    2023 Speed
    23 days submission to first editorial decision for all manuscripts (Median)
    265 days submission to accept (Median)

    2023 Usage 
    206 Altmetric mentions