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Nicole Oldham

dblp:57/1697 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

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

Databases, data management, data science and information retrieval · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.

Software engineering, system software, and programming languages
1 paper
Services computing and microservices · 100%
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
Services computing and microservices › service discovery
semantic service matching
0.112006
Semantic WS-agreement partner selection · WWW 2006
Services computing and microservices
service level agreement
0.112006
Semantic WS-agreement partner selection · WWW 2006
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology
0.012006
Semantic WS-agreement partner selection · WWW 2006
Knowledge, reasoning and agents › Knowledge representation and reasoning › ontology
semantic web
0.012006
Semantic WS-agreement partner selection · WWW 2006

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

semantic web technologies · 0.1ontology matching · 0.1
YearPublicationVenuePosition
2006 Active Semantic Electronic Medical Record
Amit P. Sheth, Subodh Agrawal, Jon Lathem, Nicole Oldham, Harry Wingate, Prem Yadav, Kelly Gallagher
ISWC4
2006 Semantic WS-agreement partner selection
abstract
(Under the direction of Amit P. Sheth) In a dynamic service oriented environment it is desirable for service consumers and providers to offer and obtain guarantees regarding their capabilities and requirements. WS-Agreement defines a language and protocol for establishing agreements between two parties. The agreements are complex and expressive to the extent that the manual matching of these agreements would be expensive both in time and resources. It is essential to develop a method for matching agreements automatically. This work presents the framework and implementation of an innovative tool for the matching providers and consumers based on WS-Agreements. The approach utilizes Semantic Web technologies to achieve rich and accurate matches. A key feature is the novel and flexible approach for achieving user personalized matches.
Nicole Oldham, Kunal Verma, Amit P. Sheth, Farshad Hakimpour
WWW1