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.
Click for full-sized image and more screen shots
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.
- 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
- 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.)
- 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
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