Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jiangan Ma
dblp:217/4710
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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.
| Software engineering, system software, and programming languages
1 paper |
Services computing and microservices · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Services computing and microservices › service engineering
service specification |
0.3 | 1 | 2018 | Cloud Service Description Model: An Extension of USDL for Cloud Services · IEEE Trans. Serv. Comput. 2018 |
Services computing and microservices
trust and reputation |
0.1 | 1 | 2018 | Cloud Service Description Model: An Extension of USDL for Cloud Services · IEEE Trans. Serv. Comput. 2018 |
Methods — techniques the papers use, named apart from their topics
USDL extension · 0.3OWL-based annotation · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Cloud Service Description Model: An Extension of USDL for Cloud ServicesabstractThere are a variety of well-designed specification-modelling-languages serving Internet services, however, none of them is capable of describing the special features of cloud services, from both technical and business points of view. The Unified Service Description Language (USDL) provides a new way to describe Internet services from business, operational, and technical perspectives. Nevertheless, there are various issues with USDL: it lacks a comprehensive specification model, particularly for cloud services, lacks a user-centric specification modeling paradigm, lacks a mechanism to measure cloud service attributes and to present the association relationship and re-usability of the attributes, and lacks semantic representation of cloud services. Based on the above issues, we propose a unified semantic Cloud Service Description Model (CSDM) in this paper. The proposed model will be extended from the basic structure of USDL, by defining cloud-service-specific attributes. Furthermore, an additional module, named transaction module, will be defined, which models the rating system of cloud services from several aspects, such as risk, trust, and reputation. The transaction module facilitates the capability of CSDM with regard to service ranking, and enhances its flexibility and extensibility by providing an extensible sub-module. In addition, we design an OWL-based annotation system to enrich the semantic expressivity of this model. Finally, a case study is provided to explain the application of this model in actual cloud services. Le Sun 0003, Jiangan Ma, Hua Wang 0002, Yanchun Zhang, Jianming Yong |
IEEE Trans. Serv. Comput. | 2 |