Black Pepper Ontology

The purpose of this project is to develop a farm- agro ontology model, by eliminating the limitations of the present existing systems which are available. Since the Semantic Web has grown into a mature field of research, its methods find innovative applications on and off the World Wide Web. Its underlying technologies have significant impact on adjacent fields of research and on industrial applications. Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, we try to engage on a theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in Farm Automation and Agro-processing. Key words :OWL, RDF, Black Pepper Property definition, Cultivation, Varieties, Propagation,Diseases,Farm – processing本项目旨在构建农场农业本体（farm-agro ontology）模型，以克服现有可用系统存在的局限性。随着语义网（Semantic Web）已发展为成熟的研究领域，其相关方法在万维网内外均得到了创新性应用。其底层技术对相邻研究领域及工业应用均具有显著影响。语义网技术将支持数据的无缝集成、Web服务的动态组合与互操作，以及更直观的搜索引擎。然而，信息的语义（即其含义）若脱离上下文则无法被准确定义，这也使得个性化、信任与溯源成为语义网研究的核心议题。新的检索范式、用户界面与可视化技术，需在充分释放语义网潜能的同时，为用户屏蔽其内在复杂性。基于这一愿景，本研究拟围绕农业自动化与农产品加工领域的具体本体描述方法与工具，展开理论与基础性研究。 关键词：OWL、RDF、黑胡椒属性定义、栽培、品种、繁殖、病害、农场加工