A5057780548- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Rough Sets and Fuzzy Logic
- Artificial Intelligence in Law
- Statistical and Computational Modeling
- Biomedical Text Mining and Ontologies
- Advanced Graph Neural Networks
- Data Quality and Management
- Software Reliability and Analysis Research
- Scientific Computing and Data Management
- Text and Document Classification Technologies
- Astronomical Observations and Instrumentation
- Advanced Data Processing Techniques
- Data Stream Mining Techniques
- Business Process Modeling and Analysis
- Speech and dialogue systems
- Machine Learning in Materials Science
- Service-Oriented Architecture and Web Services
- Advanced Text Analysis Techniques
- European and International Law Studies
- Advanced Database Systems and Queries
- Linguistic research and analysis
- Authorship Attribution and Profiling
- Organizational Management and Leadership
Semantic Designs (United States)
2020-2023
Sumy State University
2019
National Research University Higher School of Economics
2012-2015
TU Dresden
2010-2015
The EU-funded project Lynx focuses on the creation of a knowledge graph for legal domain (Legal Knowledge Graph, LKG) and its use semantic processing, analysis enrichment documents from domain. This article describes cases covered in project, entire developed platform services that operate documents.
Anna Breit, Artem Revenko, Kiamehr Rezaee, Mohammad Taher Pilehvar, Jose Camacho-Collados. Proceedings of the 16th Conference European Chapter Association for Computational Linguistics: Main Volume. 2021.
Legal technology is currently receiving a lot of attention from various angles. In this contribution we describe the main technical components system that under development in European innovation project Lynx, which includes partners industry and research. The key paper workflow manager enables flexible orchestration workflows based on portfolio Natural Language Processing Content Curation services as well Multilingual Knowledge Graph contains semantic information meaningful references to...
Georg Rehm, Julián Moreno-Schneider, Jorge Gracia, Artem Revenko, Victor Mireles, Maria Khvalchik, Ilan Kernerman, Andis Lagzdins, Marcis Pinnis, Artus Vasilevskis, Elena Leitner, Jan Milde, Pia Weißenhorn. Proceedings of the Natural Legal Language Processing Workshop 2019.
In line with the general trend in artificial intelligence research to create intelligent systems that combine learning and symbolic components, a new sub-area has emerged focuses on combining machine (ML) components techniques developed by Semantic Web (SW) community - Machine Learning (SWeML for short). Due its rapid growth impact several communities last two decades, there is need better understand space of these SWeML Systems, their characteristics, trends. Yet, surveys adopt principled...
This paper presents SemMR, a semantic framework for modelling interactions between human and non-human entities managing reusable optimized cultural experiences, towards shared experience ecosystem that might seamlessly accommodate mixed reality experiences. The SemMR synthesizes integrates interaction data into semantically rich structures facilitates the different types of in symbiotic way, within large, virtual, fully experiential open world, promoting sharing at user level, as well...
An approach for studying relations between properties of functions on sets is proposed. The based Attribute Exploration. 16 are considered, among them monotonicity, idempotency, path independence, exchange prope