Elsevier MDL and Temis Provide Chemical Information Solution
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Elsevier MDL and Temis have announced that they have co-developed the Chemical Entity Relationship Skill Cartridge™, software application that identifies and extracts chemical information from text documents.
The software is designed to identify chemical compound names, chemical classes and molecular formulae in text documents and translates extracted information into the chemist’s language: the chemical structure.
Software’s features include - Classification and relevance weighting: Identified chemical terms are assigned to specific chemical concepts according to semantic categories such as regular chemical name, chemical class name, trivial name, etc.
- Name-to-structure translation: An elaborated name-to-structure translation service enables the user to automatically match textual information with proprietary chemical libraries.
- Unique identification: For each identified structure, a unique fingerprint is provided for de-duplication purposes.
The Chemical Entity Relationship Skill Cartridge™ integrates the Chemical Name Recognition software developed and used by Elsevier MDL to identify chemical names and extract reaction schemes from scientific literature and patents.
"Within this project, the TEMIS Insight Discoverer™ Extractor engine was used to derive semantic relations from chemical patents," said Dr. Doug Hounshell, Vice President of Content Development at Elsevier MDL.
"The combination of Temis proficiency in linguistic analysis with Elsevier MDL expertise in chemistry has contributed to the success of MDL® Patent Chemistry Database, launched in 2004."
"The collaboration between Elsevier MDL and Temis has already paid off on the production side, and I am very happy that we are now joining forces to bring out a software tool that has been requested by our core customers for some time," said Dr. Michiel Kolman, Managing Director, MDL Information Systems GmbH.
"Combining Elsevier MDL’s expertise in chemical informatics with TEMIS’ skills in the text mining area has produced an indispensable chemical information extraction solution."
The Chemical Entity Relationship Skill Cartridge™ is designed to extend the Temis skill Cartridge™ Library, which already includes cartridges such as the Biological Entity Relationship Skill Cartridge™ and the Medical Entity Relationship Skill Cartridge™, and thus adds a strategic element to the Temis Life Sciences portfolio.
Through its Skill Cartridge™ Library, Temis supports scientific research projects by addressing issues such as drug-target interactions and drug-drug interactions for safety assessment.
The Temis information discovery solution, Online Miner™, also leverages the Chemical Entity Relationship Skill Cartridge™ within its Intellectual Property application (IP-Miner).
"We are very proud that the successful partnership between Elsevier MDL and Temis has resulted in this first joint product development," said Dr. Günther Kurapkat, Director Life Sciences, Temis.
"The new Chemical Entity Relationship Skill Cartridge™ for mining chemical documents offers unique functionality and quality to the market and adds another strategic product to the Temis Life Science portfolio, enabling us to provide our customer base with cutting-edge technology developed by the two market leaders in chemistry and text-mining."
Under the terms of the agreement, Temis is the exclusive channel of the Chemical Entity Relationship Skill Cartridge™.
