Automated Author ProfilePUNJANI, DHARMEN
Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens0000-0003-3279-5373
PUNJANI, DHARMEN
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.3 (sum of 9 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is the copernicus ontology which has been used to generate the EarthQA KG knowledge graph
Authors
- PUNJANI, DHARMEN ;
- Tsalapati, Eleni
This is the copernicus ontology which has been used to generate the EarthQA KG knowledge graph
Authors
- PUNJANI, DHARMEN ;
- Tsalapati, Eleni
This work introduces GeoChangesQA, a novel spatiotemporal QA dataset for historical geospatial knowledge. We first developed the Historical County Boundaries Ontology (HCB-O) to create this dataset. Then, we leveraged geospatial historical data spanning regions in the United States from 1630 to 2000 to populate the novel Historical CountyBoundaries Knowledge Graph (HCB-KG). Subsequently, we developed a semi-automated procedure for generating questions, GeoSPARQL queries, and corresponding answers over HCB-KG by leveraging subgraph and query template extraction techniques. Through this method, we automatically generated 5, 700 question-query-answer triples.The code used to create this dataset is available here: github repoThe knowledge graph which the queries refer to is available here: Knowledge Graph
Authors
- Mitsios, Michail ;
- PUNJANI, DHARMEN ;
- Abdollahi, Sara ;
- Gottschalk, Simon ;
- Tsalapati, Eleni ;
- Demidova, Elena ;
- Koubarakis, Manolis
This work introduces GeoChangesQA, a novel spatiotemporal QA dataset for historical geospatial knowledge. We first developed the Historical County Boundaries Ontology (HCB-O) to create this dataset. Then, we leveraged geospatial historical data spanning regions in the United States from 1630 to 2000 to populate the novel Historical CountyBoundaries Knowledge Graph (HCB-KG). Subsequently, we developed a semi-automated procedure for generating questions, GeoSPARQL queries, and corresponding answers over HCB-KG by leveraging subgraph and query template extraction techniques. Through this method, we automatically generated 5, 700 question-query-answer triples.
Authors
- Mitsios, Michail ;
- PUNJANI, DHARMEN ;
- Abdollahi, Sara ;
- Gottschalk, Simon ;
- Tsalapati, Eleni ;
- Demidova, Elena ;
- Koubarakis, Manolis
This work introduces GeoChangesQA, a novel spatiotemporal QA dataset for historical geospatial knowledge. We first developed the Historical County Boundaries Ontology (HCB-O) to create this dataset. Then, we leveraged geospatial historical data spanning regions in the United States from 1630 to 2000 to populate the novel Historical CountyBoundaries Knowledge Graph (HCB-KG). Subsequently, we developed a semi-automated procedure for generating questions, GeoSPARQL queries, and corresponding answers over HCB-KG by leveraging subgraph and query template extraction techniques. Through this method, we automatically generated 8, 900 question-query-answer triples.The code used to create this dataset is available here: github repoThe knowledge graph (rdf dumps) which the queries refer to is available here: DOI 10.5281/zenodo.11508198 // Knowledge Graph
Authors
- Mitsios, Michail ;
- PUNJANI, DHARMEN ;
- Abdollahi, Sara ;
- Gottschalk, Simon ;
- Tsalapati, Eleni ;
- Koubarakis, Manolis
This work introduces GeoChangesQA, a novel spatiotemporal QA dataset for historical geospatial knowledge. We first developed the Historical County Boundaries Ontology (HCB-O) to create this dataset. Then, we leveraged geospatial historical data spanning regions in the United States from 1630 to 2000 to populate the novel Historical CountyBoundaries Knowledge Graph (HCB-KG). Subsequently, we developed a semi-automated procedure for generating questions, GeoSPARQL queries, and corresponding answers over HCB-KG by leveraging subgraph and query template extraction techniques. Through this method, we automatically generated 8, 900 question-query-answer triples.The code used to create this dataset is available here: github repoThe knowledge graph (rdf dumps) which the queries refer to is available here: DOI 10.5281/zenodo.11508198 // Knowledge Graph
Authors
- Mitsios, Michail ;
- PUNJANI, DHARMEN ;
- Abdollahi, Sara ;
- Gottschalk, Simon ;
- Tsalapati, Eleni ;
- Koubarakis, Manolis
This work contains the dump files of Historical County Boundaries Knowledge Graph (HCB-KG). The HCB-KG was populated using The Atlas Historical County Boundaries Dataset (https://digital.newberry.org/ahcb/downloads/states.html)For more info please visit : DOI 10.5281/zenodo.10257310
Authors
- Mitsios, Michail ;
- PUNJANI, DHARMEN ;
- Abdollahi, Sara ;
- Gottschalk, Simon ;
- Tsalapati, Eleni ;
- Koubarakis, Manolis
This work contains the dump files of Historical County Boundaries Knowledge Graph (HCB-KG). The HCB-KG was populated using The Atlas Historical County Boundaries Dataset (https://digital.newberry.org/ahcb/downloads/states.html)For more info please visit : DOI 10.5281/zenodo.10257310
Authors
- Mitsios, Michail ;
- PUNJANI, DHARMEN ;
- Abdollahi, Sara ;
- Gottschalk, Simon ;
- Tsalapati, Eleni ;
- Koubarakis, Manolis
This work introduces GeoChangesQA, a novel spatiotemporal QA dataset for historical geospatial knowledge. We first developed the Historical County Boundaries Ontology (HCB-O) to create this dataset. Then, we leveraged geospatial historical data spanning regions in the United States from 1630 to 2000 to populate the novel Historical CountyBoundaries Knowledge Graph (HCB-KG). Subsequently, we developed a semi-automated procedure for generating questions, GeoSPARQL queries, and corresponding answers over HCB-KG by leveraging subgraph and query template extraction techniques. Through this method, we automatically generated 8, 900 question-query-answer triples.The code used to create this dataset is available here: github repoThe knowledge graph (rdf dumps) which the queries refer to is available here: DOI 10.5281/zenodo.11508198 // Knowledge Graph
Authors
- Mitsios, Michail ;
- PUNJANI, DHARMEN ;
- Abdollahi, Sara ;
- Gottschalk, Simon ;
- Tsalapati, Eleni ;
- Demidova, Elena ;
- Koubarakis, Manolis