TY - GEN
T1 - PathWays
T2 - 20th Extended Semantic Web Conference, ESWC 2023
AU - Barret, Nelly
AU - Gauquier, Antoine
AU - Law, Jia Jean
AU - Manolescu, Ioana
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG. 2023.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Graphs, and notably RDF graphs, are a prominent way of sharing data. As data usage democratizes, users need help figuring out the useful content of a graph dataset. In particular, journalists with whom we collaborate [3] are interested in identifying, in a graph, the connections between entities, e.g., people, organizations, emails, etc. We propose PathWays, an interactive tool for exploring data graphs through their data paths connecting Named Entities (NEs, in short); each data path leads to a tabular-looking set of results. NEs are extracted from the data through dedicated Information Extraction modules. PathWays leverages the ConnectionLens platform [4, 6] and follow-up work on dataset abstraction [5]. Its novelty lies in its interactive and efficient approach to enumerate, compute, and analyze NE paths.
AB - Graphs, and notably RDF graphs, are a prominent way of sharing data. As data usage democratizes, users need help figuring out the useful content of a graph dataset. In particular, journalists with whom we collaborate [3] are interested in identifying, in a graph, the connections between entities, e.g., people, organizations, emails, etc. We propose PathWays, an interactive tool for exploring data graphs through their data paths connecting Named Entities (NEs, in short); each data path leads to a tabular-looking set of results. NEs are extracted from the data through dedicated Information Extraction modules. PathWays leverages the ConnectionLens platform [4, 6] and follow-up work on dataset abstraction [5]. Its novelty lies in its interactive and efficient approach to enumerate, compute, and analyze NE paths.
KW - Data graphs
KW - Graph exploration
KW - Information Extraction
U2 - 10.1007/978-3-031-43458-7_17
DO - 10.1007/978-3-031-43458-7_17
M3 - Conference contribution
AN - SCOPUS:85175960966
SN - 9783031434570
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 91
EP - 95
BT - The Semantic Web
A2 - Pesquita, Catia
A2 - Skaf-Molli, Hala
A2 - Efthymiou, Vasilis
A2 - Kirrane, Sabrina
A2 - Ngonga, Axel
A2 - Collarana, Diego
A2 - Cerqueira, Renato
A2 - Alam, Mehwish
A2 - Trojahn, Cassia
A2 - Hertling, Sven
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 28 May 2023 through 1 June 2023
ER -