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Edward Thomas

dblp:42/4634 · DBLP profile ↗
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5ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 4 · 1 first-authorArtificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1

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
Query processing and optimization · 67% Knowledge graphs · 33%
Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization › flexible queries
fuzzy query processing
0.112008
Scalable querying services over fuzzy ontologies · WWW 2008
Knowledge graphs
ontology
0.112008
Scalable querying services over fuzzy ontologies · WWW 2008
Query processing and optimization › semantic query processing
ontology-based query answering
0.112008
Scalable querying services over fuzzy ontologies · WWW 2008
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology
0.112007
Approximating OWL-DL Ontologies · AAAI 2007

Methods — techniques the papers use, named apart from their topics

fuzzy DL-Lite · 0.1ontology approximation · 0.1
YearPublicationVenuePosition
2010 Towards Hybrid Reasoning for Verifying and Validating Multilevel Models
Nophadol Jekjantuk, Gerd Gröner, Jeff Z. Pan, Edward Thomas
EKAW4
2010 TrOWL: Tractable OWL 2 Reasoning Infrastructure
Edward Thomas, Jeff Z. Pan, Yuan Ren 0001
ESWC (2)1
2009 Reducing Ambiguity in Tagging Systems with Folksonomy Search Expansion
Jeff Z. Pan, Stuart Taylor, Edward Thomas
ESWC3
2008 Scalable querying services over fuzzy ontologies
abstract
Fuzzy ontologies are envisioned to be useful in the Semantic Web. Existing fuzzy ontology reasoners are not scalable enough to handle the scale of data that the Web provides. In this paper, we propose a framework of fuzzy query languages for fuzzy ontologies, and present query answering algorithms for these query languages over fuzzy DL-Lite ontologies. Moreover, this paper reports on implementation of our approach in the fuzzy DL-Lite query engine in the ONTOSEARCH2 system and preliminary, but encouraging, benchmarking results. To the best of our knowledge, this is the first ever scalable query engine for fuzzy ontologies.
Jeff Z. Pan, Giorgos B. Stamou, Giorgos Stoilos, Stuart Taylor, Edward Thomas
WWW5
2007 Approximating OWL-DL Ontologies
Jeff Z. Pan, Edward Thomas
AAAI2