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LIVIVO - the Vertical Search Engine for Life Sciences.
Bernd Müller1, Christoph Poley1, Jana Pössel1
1Applied Research and Innovation, German National Library of Medicine ZB MED - Information Centre for Life Sciences, Gleueler Str. 60, 50931 Cologne, North Rhine-Westphalia Germany.
Researchers can now better track life science advancements with LIVIVO, a literature search engine. LIVIVO integrates diverse data and offers semantic retrieval for trans-disciplinary research needs.
Area of Science:
- Life Sciences
- Bioinformatics
- Information Retrieval
Background:
- The rapid expansion of life science literature and data presents challenges for researchers.
- Trans-disciplinary research, like the One Health paradigm, necessitates integrated data and literature resources.
Purpose of the Study:
- To introduce LIVIVO, a literature search engine designed to address the growing information needs in the life sciences.
- To enhance the retrieval and integration of heterogeneous information from diverse databases and literature.
Main Methods:
- LIVIVO integrates 50 databases, providing access to 55 million citations.
- It features a user-friendly interface with semantic retrieval and filtering options.
- A Knowledge Environment models and links semantic concepts from literature and databases.
Main Results:
- LIVIVO empowers users to retrieve information across medicine, health, environment, agriculture, and nutrition.
- Standardized APIs facilitate data export and high-throughput retrieval.
- Semantic search capabilities allow for filtering based on life science entities.
Conclusions:
- LIVIVO provides a robust solution for navigating complex life science information.
- Future developments will leverage ontologies and NLP for improved search functionalities.
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