Demo Data from SIGIR 2026 / reviewers in the wild / expert
Nicole Oldham
dblp:57/1697
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Services computing and microservices › service discovery
semantic service matching |
0.1 | 1 | 2006 | Semantic WS-agreement partner selection · WWW 2006 |
Services computing and microservices
service level agreement |
0.1 | 1 | 2006 | Semantic WS-agreement partner selection · WWW 2006 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology |
0.0 | 1 | 2006 | Semantic WS-agreement partner selection · WWW 2006 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › ontology
semantic web |
0.0 | 1 | 2006 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Active Semantic Electronic Medical Record
Amit P. Sheth, Subodh Agrawal, Jon Lathem, Nicole Oldham, Harry Wingate, Prem Yadav, Kelly Gallagher |
ISWC | 4 |
| 2006 | Semantic WS-agreement partner selectionabstract(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 |
WWW | 1 |