Applied Ontology focuses on information content in its broadest sense. As the subtitle makes clear, two broad kinds of content-based research activities are envisioned: ontological analysis and conceptual modeling. The former includes any attempt to investigate the nature and structure of a domain of interest using rigorous philosophical or logical tools; the latter concerns the cognitive and linguistic structures we use to model the world, as well as the various analysis tools and methodologies we adopt for producing useful computational models, such as information systems schemes or knowledge structures. Applied Ontology is the first journal with explicit and exclusive focus on ontological analysis and conceptual modeling under an interdisciplinary view. It aims to establish a unique niche in the realm of scientific journals by carefully avoiding unnecessary duplication with discipline-oriented journals. For this reason, authors will be encouraged to use language that will be intelligible also to those outside their specific sector of expertise, and the review process will be tailored to this end. For example, authors of theoretical contributions will be encouraged to show the relevance of their theory for applications, while authors of more technological papers will be encouraged to show the relevance of a well-founded theoretical perspective. Moreover, the journal will publish papers focusing on representation languages or algorithms only where these address relevant content issues, whether at the level of practical application or of theoretical understanding. Similarly, it will publish descriptions of tools or implemented systems only where a contribution to the practice of ontological analysis and conceptual modeling is clearly established.

《应用本体论》着重关注最广泛意义上的信息内容。正如副标题所表明的那样，我们设想了两大类基于内容的研究活动：本体论分析和概念建模。前者包括使用严格的哲学或逻辑工具研究感兴趣领域的性质和结构的任何尝试；后者涉及我们用来模拟世界的认知和语言结构，以及我们为生成有用的计算模型（如信息系统方案或知识结构）而采用的各种分析工具和方法。《应用本体论》是第一本从跨学科视角明确且专注于本体论分析和概念建模的期刊。它旨在通过小心避免与学科导向型期刊不必要的重复，在科学期刊领域建立独特的地位。为此，将鼓励作者使用其特定专业领域之外的人也能理解的语言，并且审查过程将为此目的而量身定制。例如，将鼓励理论贡献的作者展示其理论与应用的相关性，而鼓励更多技术论文的作者展示有理有据的理论观点的相关性。此外，该期刊将只发表专注于表示语言或算法的论文，这些论文解决了相关的内容问题，无论是在实际应用层面还是在理论理解层面。同样，它只会在明确确立对本体分析和概念建模实践的贡献时，才会发表工具或实施系统的描述。

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