A5045704923- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Artificial Intelligence in Law
- Topic Modeling
- Data Quality and Management
- Service-Oriented Architecture and Web Services
- Biomedical Text Mining and Ontologies
- Library Science and Information Systems
- Financial Reporting and XBRL
- Law, AI, and Intellectual Property
- Ethics and Social Impacts of AI
- E-Government and Public Services
- Advanced Database Systems and Queries
- Data Visualization and Analytics
Aristotle University of Thessaloniki
2016-2018
Hellenic Open University
2017-2018
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.
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...
Today, there is a growing need within citizens, journalists and many public bodies to explore search for valuable information knowledge in budget data, that are widely published by governments municipalities across Europe. A significant element of these fiscal datasets code lists, which serve not only the coding simplicity representation concepts, but can also act as linking entities between different countries, bodies, years structure, order facilitate their comparison. To this end, we made...
Ontology matching is an essential problem in the world of Semantic Web and other distributed, open applications. Heterogeneity occurs as a result diversity tools, knowledge, habits, language, interests usually level detail. Automated applications have been developed, implementing diverse aligning techniques similarity measures, with outstanding performance. However, there are use cases where automated linking fails must be involvement human factor order to create, or not link. In this paper...
We describe the Public Library of Veroia dataset. This dataset was created by transforming bibliographic records catalogue into Linked Open Data. present data model that is used, consisting a mix well-established vocabularies such as BIBO, RDA, DC, FOAF between others. developed new tool for transformation process which implies simple configuration end user and rich extraction. Silk Link Discovery Framework used to make connections with other datasets like DBpedia. Finally, we service author...
This paper describes the process of construction a scientific knowledge graph via semantic annotation and linking academic research fields. The method aims to combine broad scope generic classifications areas with specialized domain fields specific in order build unified including all respective common hierarchy. First, survey has been conducted identify ones that are most complete for upon. Classifications from different domains have used semantically annotate their thematic topics various...