- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Data Quality and Management
- Advanced Graph Neural Networks
- Biomedical Text Mining and Ontologies
- Research Data Management Practices
- Service-Oriented Architecture and Web Services
- Recommender Systems and Techniques
- Data Management and Algorithms
- Scientific Computing and Data Management
- Information Retrieval and Search Behavior
L3S Research Center
2021-2023
Leibniz University Hannover
2021-2023
Islamic Azad University of Najafabad
2021
The Open Research Knowledge Graph is an infrastructure for the production, curation, publication and use of FAIR scientific information. Its mission to shape a future scholarly publishing communication where contents articles are research data.
The International Semantic Web Research School (ISWS) is a week-long intensive program designed to immerse participants in the field. This document reports collaborative effort performed by ten teams of students, each guided senior researcher as their mentor, attending ISWS 2023. Each team provided different perspective topic creative AI, substantiated set research questions main subject investigation. 2023 edition focuses on intersection technologies and Creative AI. explored various...
Scientists always look for the most accurate and relevant answer to their queries on scholarly literature. Traditional search systems list documents instead of providing direct answers queries. As data in knowledge graphs are not acquainted semantically, they machine-readable. Therefore, a ends up full-text search, content In this demo, we present faceted system that retrieves from graph, which can be compared filtered better satisfy user information needs. Our practice's novelty is use...
Since using environments that are made according to the service oriented architecture, we have more effective and dynamic applications. Semantic matchmaking process is finding valuable candidates for substitution. It a very important aspect of semantic Web Services. Our proposed matchmaker algorithm performs matching Services on basis input output descriptions matching. This technique takes advantages from graph structure flow networks. novel approach assigning scores semantics inputs...
Scientists always look for the most accurate and relevant answers to their queries in literature. Traditional scholarly digital libraries list documents search results, therefore are unable provide precise queries. In other words, is metadata and, if available, full-text search. We present a methodology improving faceted system on structured content by leveraging federation of knowledge graphs. implemented top graph. This can leverage from third-party graphs improve exploration content. A...