Journal of Biomedical Semantics
From Aims and Scope:
Journal of Biomedical Semantics addresses issues of semantic enrichment and semantic processing in the biomedical domain. The scope of the journal covers two main areas:
Infrastructure for biomedical semantics: focusing on semantic resources and repositories, meta-data management and resource description, knowledge representation and semantic frameworks, the Biomedical Semantic Web, and semantic interoperability.
Semantic mining, annotation, and analysis: focusing on approaches and applications of semantic resources; and tools for investigation, reasoning, prediction, and discoveries in biomedicine.
Research in biology and biomedicine relies on various types of biomedical data, information, and knowledge, represented in databases with experimental and/or curated data, ontologies, literature, taxonomies, and so on. Semantics is essential for accessing, integrating, and analyzing such data. The ability to explicitly extract, assign, and manage semantic representations is crucial for making computational approaches in the biomedical domain productive for a large user community.
Journal of Biomedical Semantics addresses issues of semantic enrichment and semantic processing in the biomedical domain, and comprises practical and theoretical advances in biomedical semantics research with implications for data analysis.
In recent years, the availability and use of electronic resources representing biomedical knowledge has greatly increased, covering ontologies, taxonomies, literature, databases, and bioinformatics services. These electronic resources contribute to advances in the biomedical domain and require interoperability between them through various semantic descriptors. In addition, the availability and integration of semantic resources is a key part in facilitating semantic web approaches for life sciences leading into reasoning and other advanced ways to analyse biomedical data.
Random items to whet your appetite:
The 2nd DBCLS BioHackathon: interoperable bioinformatics Web services for integrated applications
Toshiaki Katayama, Mark D Wilkinson, Rutger Vos, Takeshi Kawashima, Shuichi Kawashima, Mitsuteru Nakao, Yasunori Yamamoto, Hong-Woo Chun, Atsuko Yamaguchi, Shin Kawano, Jan Aerts, Kiyoko F Aoki-Kinoshita, Kazuharu Arakawa, Bruno Aranda, Raoul JP Bonnal, José M Fernández, Takatomo Fujisawa, Paul MK Gordon, Naohisa Goto, Syed Haider, Todd Harris, Takashi Hatakeyama, Isaac Ho, Masumi Itoh, Arek Kasprzyk, Nobuhiro Kido, Young-Joo Kim, Akira R Kinjo, Fumikazu Konishi, Yulia Kovarskaya Journal of Biomedical Semantics 2011, 2:4 (2 August 2011)
Simple tricks for improving pattern-based information extraction from the biomedical literature
Quang Nguyen, Domonkos Tikk, Ulf Leser Journal of Biomedical Semantics 2010, 1:9 (24 September 2010)
Rewriting and suppressing UMLS terms for improved biomedical term identification
Kristina M Hettne, Erik M van Mulligen, Martijn J Schuemie, Bob JA Schijvenaars, Jan A Kors Journal of Biomedical Semantics 2010, 1:5 (31 March 2010)