ARD Group Information Technologies Inc.
TÜBİTAK Projects
TOKSVETA: Toxicology Database and Decision Support System
The TOKSVETA project aims to provide a comprehensive and queryable software system that supports diagnostic decision-making by correlating toxic agents with clinical findings related to poisoning. The system covers toxic agent classes and active substances found in pharmaceuticals, pesticides, volatile poisons, mushrooms, solvents, toxic plants, metals, animal venoms, and household chemicals used in Türkiye. It is designed to be easily accessible and usable by physicians, hospitals, scientific research institutions, and academics.
Within this framework, the project aims to develop a knowledge system that brings together, for the first time in Türkiye—and well beyond existing international examples—comprehensive data on pharmaceuticals and other xenobiotics currently in use in the country. This includes their classification, areas of use, indications, therapeutic and toxic doses, mechanisms of action, toxicokinetic and pharmacokinetic properties, toxicodynamic and pharmacodynamic characteristics, exposure symptoms and findings, treatment approaches (both general and antidotal), and relevant clinical data.
Ontology-Based Legal Information Management and Search System
Having successfully delivered significant projects in the field of law, our company has concluded—based on requests from client channels (such as bar associations, lawyers, and judicial units) as well as internal evaluations—that existing case law information databases fall short of meeting user expectations. The limited number of available software solutions attempt to access legal data through basic keyword-matching logic, resulting in search outcomes that are either largely irrelevant or overwhelming, forcing users to navigate through thousands of related and unrelated results.
Therefore, it is believed that a fast, semantically driven application capable of processing queries semantically, performing semantic inferences and establishing relationships across case law, and managing legal data at a semantic level would become an indispensable reference source for hundreds of thousands of legal professionals. In this context, the primary objective of the project is to semantically decompose existing case law, create a legal ontology for the Turkish language, and leverage this ontology to deliver significantly more relevant results to users through advanced semantic search capabilities across different case types and legal terms.