BioLT™ Literature Mining Tool

The BioLT™ Literature Mining Tool is a customizable tool for intuitive and structured text mining. BioLT version 2.0 combines biological and medical term dictionaries with powerful free-text querying capabilities. The tool provides comprehensive and structured answers to complex questions. Search results can be used for iterative refinement and extension of queries.

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The German national patenting authority (Deutsches Patent- und Markenamt) has licensed the BioLT Web portal to support efficient biomedical patent examination.

The BioLT software was used as the core data-mining component in a project to create an Oncology Knowledge Base in cooperation with a US health organization. In this project, the BioLT software was used to create an up-to-date index of all human cancer-related genes, including compound and disease relationships.

BioLT results can be made part of larger semantic networks within the BioXM Knowledge Management Environment. Text-mining information, such as relationships between genes, diseases and compounds can be graphically displayed, curated and linked. For example, Biomax provides the Oncology Knowledge Base data in the BioXM system.

Benefits

  • Overcomes cumbersome and laborious search strategies
  • Supports keyword-driven and hypothesis-driven searches
  • Provides fast generation of domain-specific overviews
  • Extracts comprehensive and structured information using extendable biomedical dictionaries
  • Supports project-driven biomedical text analyses
  • Provides literature data for inclusion in knowledge management systems

Features

  • Complete and precise data mining from free text
  • Powerful query language (using Boolean operators, dictionaries, wildcards and topics)
  • Large and extendable biomedical dictionary foundation (covers diseases, genes, compounds, taxonomy, etc.)
  • Automatic vocabulary generation for any domain
  • Acronym detection tool for greater precision
  • Several ranking methods (chi-square, cosine, etc.)

Flexible access

  • Yearly subscription to the Biomax Web portal to extract information from the MEDLINE database using any common Web browser
  • Customized installation to extract information from other public or proprietary text sources

References

Knowledge Networks of Biological and Medical Data: An Exhaustive and Flexible Solution to Model Life Science Domains.
Losko S, Wenger K, Kalus W, Ramge A, Wiehler J and Heumann K
Lecture Notes in Computer Science 4075: 232-239 (2006) Abstract