Demo Data from VLDB 2026 / reviewers in the wild / expert
Guanghao Yan
dblp:60/6459
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2002
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Data integration and cleaning · 87% Knowledge graphs · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data integration and cleaning
schema integration |
0.0 | 1 | 2002 | Product Schema Integration for Electronic Commerce - A Synonym Comparison Approach · IEEE Trans. Knowl. Data Eng. 2002 |
Data integration and cleaning
schema matching |
0.0 | 1 | 2002 | Product Schema Integration for Electronic Commerce - A Synonym Comparison Approach · IEEE Trans. Knowl. Data Eng. 2002 |
Knowledge graphs
ontology |
0.0 | 1 | 2002 | Product Schema Integration for Electronic Commerce - A Synonym Comparison Approach · IEEE Trans. Knowl. Data Eng. 2002 |
Methods — techniques the papers use, named apart from their topics
approximation algorithm · 0.0NP-completeness proof · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | Product Schema Integration for Electronic Commerce - A Synonym Comparison ApproachabstractIn any electronic commerce system, the heterogeneity of product descriptions is a critical impediment to efficient business information exchange. In the ABECOS electronic commerce system, buyer agents, seller agents, and directory agents liaise with one another in e-commerce activities. Only when agents have a common ontology of product descriptions (also called product schemas) are they able to interact seamlessly in e-commerce activities. This gives rise to the product schema integration problem (PSI); the problem of integrating heterogeneous schemas of a certain product into one globally compatible schema. We adopt an integration approach based on product attribute synonyms. We give a formal definition of the problem and show that it is NP-complete. We contrast our approach of study to conventional schema integration in federated databases. We also propose a set of approximate algorithms for PSI and evaluate their performance. Guanghao Yan, Wee Keong Ng, Ee-Peng Lim |
IEEE Trans. Knowl. Data Eng. | 1 |