In recent years, the decentralized development of ontologies has led to the generation of
multiple ontologies of overlapping knowledge. This heterogeneity problem can be tackled by …

Ontology matching is an integral part for establishing semantic interoperability. One of the
main challenges within the ontology matching operation is semantic heterogeneity, ie …

Increase in chronic diseases among people gives the health care industry a challenging
problem. Healthcare industry is using the Internet-of-Things (IoT) to create systems that …

In the era of mobile big data, data driven intelligent Internet of Things (IoT) applications are
becoming widespread, and knowledge-based reasoning is one of the essential tasks of …

Natural language is a tool and way to express the interaction between computer and human
(NATURAL) language. At present, the analysis ability of text semantics is relatively mature …

摘要为了探索高校学生实习时提交的实践报告文本存在着重复的问题ꎬ 从高校教学管理部门
收集到相关文本的分类数据ꎬ 结合Jieba 分词工具处理文本信息ꎬ 利用Word2vec …

Ontologies are the prime way of organizing data in the Semantic Web. Often, it is necessary
to combine several, independently developed ontologies to obtain a complete …

知识图谱是大数据时代下知识工程的关键技术. 利用知识图谱强大的语义理解和知识组织能力,
可以解决现代化农业建设中农业知识分散无序, 知识覆盖范围不足等问题针对农业领域数据复杂 …

Taxonomy merging is an important work to provide a uniform schema for several
heterogeneous taxonomies. Previous studies primarily focus on merging two taxonomies in …

Ontology merging systems enable the reusability and interoperability of existing knowledge.
Ideally, they allow their users to specify which characteristics the merged ontology should …