Towards ontology-driven navigation of the lipid bibliosphere

Background: The indexing of scientific literature and content is a relevant and contemporary requirement within life science information systems. Navigating information available in legacy formats continues to be a challenge both in enterprise and academic domains. The emergence of semantic web technologies and their fusion with artificial intelligence techniques has provided a new toolkit with which to address these data integration challenges. In the emerging field of lipidomics such navigation challenges are barriers to the translation of scientific results into actionable knowledge, critical to the treatment of diseases such as Alzheimer's syndrome, Mycobacterium infections and cancer. Results: We present a literature-driven workflow involving document delivery and natural language processing steps generating tagged sentences containing lipid, protein and disease names, which are instantiated to custom designed lipid ontology. We describe the design challenges in capturing li...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Christopher J. O. Baker, Kanagasabai Rajaraman, Wee Tiong Ang, Anitha Veeramani, Hong Sang Low, Markus Wenk
• Keywords: BMCBI 2008, Lipid, Logic-based A-box Query, Ontology