Lianlian He
Biographic Data
| ID | 9964652 |
|---|---|
| NAME | Lianlian He |
| GIVEN NAMES | Lianlian |
| FAMILY NAME | He |
| SIGNATURE | HE L |
| AFFILIATIONS | Hubei University of Education |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A Semantic-Spatial Aware Data Conflation Approach for Place Knowledge Graphs
Recent advances in knowledge graphs show great promise to link various data together to provide a semantic network. Place is an important part in the big picture of the knowledge graph since it serves as a powerful glue to link any data to its georeference. A key technical challenge in constructing knowledge graphs with location nodes as geographical references is the matching of place entities. Traditional methods typically rely on rule-based ma…
Discovering Links between Geospatial Data Sources in the Web of Data
The Web of Data has been fueled significantly by geospatial data over the last few years. In the current link discovery frameworks, there is still a lack of robust support for finding geospatial-aware links between geospatial data sources in the Web of Data. They are also limited in efficient association capabilities for large-scale datasets. This paper extends the data integration capability based on the spatial metrics in the open geospatial en…
No prominent works on this page.
A Semantic-Spatial Aware Data Conflation Approach for Place Knowledge Graphs
Recent advances in knowledge graphs show great promise to link various data together to provide a semantic network. Place is an important part in the big picture of the knowledge graph since it serves as a powerful glue to link any data to its georeference. A key technical challenge in constructing knowledge graphs with location nodes as geographical references is the matching of place entities. Traditional methods typically rely on rule-based ma…
Discovering Links between Geospatial Data Sources in the Web of Data
The Web of Data has been fueled significantly by geospatial data over the last few years. In the current link discovery frameworks, there is still a lack of robust support for finding geospatial-aware links between geospatial data sources in the Web of Data. They are also limited in efficient association capabilities for large-scale datasets. This paper extends the data integration capability based on the spatial metrics in the open geospatial en…
Computer Science (2 works) · Data Management and Algorithms (2 works) · Data science (2 works) · Geographic Information Systems Studies (2 works) · Geography (2 works) · Information retrieval (2 works) · Semantic Web and Ontologies (2 works) · Conflation (1 work) · Data element (1 work) · Database (1 work)