This system collects and standardizes scattered and heterogeneous data including research papers, patents, and books with the standard species database, named as ISDB™. Furthermore, artificial intelligence (AI) algorithms were applied for analyzing these heterogeneous Bio BigData.
The Useful Information for Biological Resources (UIBR®) aims to discover useful biological resources by integrating and standardizing information on their various uses. UIBR® collects useful information for biological resources scattered in books, old literatures, reports, and published papers. It integrates terminologies, such as local names, scientific names, drug names of biological resources, and disease names, with the standardized species list provided by ISDB™.
AI platform for Useful Information for Biological Resources (UIBR-AI®) is the platform for predicting novel usages of plant resources with the aid of machine learning and deep learning algorithms based on the massive and diverse data stored in the UIBR® as well as related databases, including ISDB™.
ISDB™ is an integrated system for managing species information originated from diverse species databases containing scientific names and synonyms. Collected data were integrated into the standardized species list as a standardized species data structure.
Infoboss Reference Database (RefDB™) is an integrated database for managing and analyzing publications originated from various publication databases, such as PubMed. It contains i) various crawlers to collect references periodically, ii) the pipeline to build non-redundant reference information as well as iii) the web-based environment to choose and to analyze proper publications interested. In addition, RefDB™ provides the standardized reference information for many databases and systems of Infoboss.
Patent Analysis Platform (PAP™) is an integrated platform for patents. Several crawlers for collecting patents efficiently have been implemented in this system. Additional analysis of patents was conducted together with RefDB™.
MetaPool™ is the platform for classifying publications and patents originated from RefDB™ and PAP™, respectively, with the aids of machine learning and deep learning algorithms.
MetaEve-AI™ was designed for evaluating economical values of plant resources in various aspects with the aid of the machine learning engine. It will provide the guide of many unused plant resources which have potential to be commercialized.