Predictions obtained by, eg, artificial neural networks have a high accuracy but humans
often perceive the models as black boxes. Insights about the decision making are mostly …

摘要谷歌知识图谱技术近年来引起了广泛关注, 由于公开披露的技术资料较少,
使人一时难以看清该技术的内涵和价值. 从知识图谱的定义和技术架构出发 …

The explosive growth of textual data on the web coupled with the increase on demand for
ontologies to promote the semantic web, have made the automatic ontology construction …

知识图谱技术是人工智能技术的重要组成部分, 其建立的具有语义处理能力与开放互联能力的
知识库, 可在智能搜索, 智能问答, 个性化推荐等智能信息服务中产生应用价值 …

We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

The unification of statistical (data-driven) and symbolic (knowledge-driven) methods is
widely recognized as one of the key challenges of modern AI. Recent years have seen a …

知识图谱是以图的形式表现客观世界中的概念和实体及其之间关系的知识库, 是语义搜索,
智能问答, 决策支持等智能服务的基础技术之一. 目前, 知识图谱的内涵还不够清晰; …

This paper introduces the concept of geodata science-based mineral prospectivity mapping
(GSMPM), which is based on analyzing the spatial associations between geological …

Cultural Heritage (CH) data is syntactically and semantically heterogeneous, multilingual,
semantically rich, and highly interlinked. It is produced in a distributed, open fashion by …

Abstract Domain models capture the key concepts and relationships of a business domain.
Typically, domain models are manually defined by software designers in the initial phases of …