Special Issue on Benchmarking Semantic Web Solutions
摘要截稿: 2019-07-31
全文截稿: 2019-08-31
影响因子: 2.238
期刊难度:
CCF分类: B类
中科院JCR分区:
• 大类 : 计算机科学 - 2区
• 小类 : 计算机:人工智能 - 2区
• 小类 : 计算机:信息系统 - 2区
• 小类 : 计算机:软件工程 - 2区
Overview
The availability of benchmarks is often regarded as a prerequisite for sustainable developments in quantitative research. From a practical perspective, the cost and effort required for introducing Semantic Web and Linked Data technology is significant. A key step towards abolishing the barriers to the adoption and deployment of this technology is to provide open benchmarking reports that allow users to assess the fitness of existing solutions for their purposes.
In this special issue, we hence welcome articles (1) proposing benchmarks and related platforms, and/or (2) performing a throughout evaluation of Semantic Web solutions. A focus of the special issue will be scalability and reproducibility. The target topics of the benchmark/evaluation include (but are not limited to):
1) Knowledge extraction
Named entity recognition
Disambiguation
Relation extraction
Open and closed knowledge extraction
2) Link discovery and prediction
Linking at scale
Linking for dedicated data types (e.g., geospatial data)
3) Knowledge curation and fact checking 4) Ontology alignment