Dr. Yankova-Doseva obtained a PhD in Computer Science from the University of Sheffield. Her thesis was on combining information and resolving identity issues coming from multiplicity and redundancy of information, a common problem that appears in the process of knowledge extraction from heterogeneous sources. Since joining Ontotext in 2004 (while it was still a lab within Sirma), Dr. Yankova-Doseva has gained significant experience in participating in and leading EC research project developments in the areas of advanced text analytics and machine learning (e.g. Trendminer, NoTube). She has also managed long-running commercial projects with a focus on applying research prototypes to large commercial systems. Dr. Yankova-Doseva has deep knowledge and hands-on expertise with technologies for web mining, crawling, natural language processing, record linkage, information extraction, semantic annotation and concept extraction, and ontology modelling. In addition, Milena is experienced in project planning and management, managing risks from applying innovative technologies, applying agile (certified Scrum Master) and continuous development processes. Currently Dr. Yankova-Doseva is leading the group dedicated to innovations and research at Ontotext.
