Bo Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Bo Wang has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Dongxu Zhang
College of Software, Jilin University, Changchun 130012, China
1 shared publication - Fausto Giunchiglia
University of Trento
1 shared publication - Lan Huang
Jilin University
1 shared publication - Rui Zhang
College of Computer Science and Technology, Jilin University, Changchun, China
1 shared publication - Simone Bocca
University of Trento
1 shared publication - Subhashis Das
University of Salamanca
1 shared publication
Latest Publications
- Open Access
- 17 August 2021
- Published by MDPI AG in Algorithms
- Vol. 14 (8) , 241
Property-Based Semantic Similarity Criteria to Evaluate the Overlaps of Schemas
Knowledge graph-based data integration is a practical methodology for heterogeneous legacy database-integrated service construction. However, it is neither efficient nor economical to build a new cross-domain knowledge graph on top of the schemas of each legacy database for the specific integration application rather than reusing the existing high-quality knowledge graphs. Consequently, a question arises as to whether the existing knowledge graph is compatible with cross-domain queries and with heterogenous schemas of the legacy systems. An effective criterion is urgently needed in order to evaluate such compatibility as it limits the quality upbound of the integration. This research studies the semantic similarity of the schemas from the aspect of properties. It provides a set of in-depth criteria, namely coverage and flexibility, to evaluate the pairwise compatibility between the schemas. It takes advantage of the properties of knowledge graphs to evaluate the overlaps between schemas and defines the weights of entity types in order to perform precise compatibility computation. The effectiveness of the criteria obtained to evaluate the compatibility between knowledge graphs and cross-domain queries is demonstrated using a case study.
- 17 August 2021
- Published by MDPI AG in Algorithms
- Vol. 14 (8) , 241
Open AccessProperty-Based Semantic Similarity Criteria to Evaluate the Overlaps of Schemas
Knowledge graph-based data integration is a practical methodology for heterogeneous legacy database-integrated service construction. However, it is neither efficient nor economical to build a new cross-domain knowledge graph on top of the schemas of each legacy database for the specific integration application rather than reusing the existing high-quality knowledge graphs. Consequently, a question arises as to whether the existing knowledge graph is compatible with cross-domain queries and with heterogenous schemas of the legacy systems. An effective criterion is urgently needed in order to evaluate such compatibility as it limits the quality upbound of the integration. This research studies the semantic similarity of the schemas from the aspect of properties. It provides a set of in-depth criteria, namely coverage and flexibility, to evaluate the pairwise compatibility between the schemas. It takes advantage of the properties of knowledge graphs to evaluate the overlaps between schemas and defines the weights of entity types in order to perform precise compatibility computation. The effectiveness of the criteria obtained to evaluate the compatibility between knowledge graphs and cross-domain queries is demonstrated using a case study.