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Guanghao Yan

dblp:60/6459 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Data integration and cleaning
schema integration
0.012002
Product Schema Integration for Electronic Commerce - A Synonym Comparison Approach · IEEE Trans. Knowl. Data Eng. 2002
Data integration and cleaning
schema matching
0.012002
Product Schema Integration for Electronic Commerce - A Synonym Comparison Approach · IEEE Trans. Knowl. Data Eng. 2002
Knowledge graphs
ontology
0.012002
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
YearPublicationVenuePosition
2002 Product Schema Integration for Electronic Commerce - A Synonym Comparison Approach
abstract
In 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