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Usage of social and semantic web technologies to design a searching architecture for software requirement artefacts

机译:利用社交和语义Web技术设计软件需求人工制品的搜索体系结构

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At present, the research community recognises a complementary relationship between the semantic and the social web. The merging of these web instances could play an essential role in different knowledge domains. In this study, the authors promote a social¿semantic web paradigm using software engineering as the knowledge domain specifically. The authors address a major problem ¿ the difficulty for end-users in finding documentation related to software requirements proposed by them; this fact reduces their participation at the time of specifying the software requirements. Architecture is proposed for enhanced resources search, combining the strengths of the social (social annotations) and semantic (semantic metadata) technologies, which has been designed considering the search style of the information seekers. Such architecture is applied in a use-scenario, where the expert users who are not technicians have some restrictions and limitations to retrieve the documents they need. The preliminary results demonstrate that it is possible to take advantage of the defined infrastructure of the ontology to organise and integrate the metadata of resources which are in databases or existent files; this approach opens several possibilities as creation and validation of software requirements collaboratively among different expert-users.
机译:目前,研究界认识到语义和社交网络之间的互补关系。这些Web实例的合并可以在不同的知识领域中发挥重要作用。在这项研究中,作者推广了使用软件工程作为知识领域的社交语义网范例。作者解决了一个主要问题-最终用户难以找到与他们提出的软件需求相关的文档;这个事实减少了他们在指定软件需求时的参与。提出了一种用于增强资源搜索的体系结构,该体系结构结合了社会(社会注释)和语义(语义元数据)技术的优势,该技术的设计考虑了信息搜索者的搜索风格。这种体系结构用于一种使用场景,在该场景中,不是技术人员的专家用户在检索所需文档方面有一些限制和限制。初步结果表明,可以利用本体定义的基础结构来组织和集成数据库或现有文件中资源的元数据。这种方法为在不同专家用户之间协作创建和验证软件需求开辟了多种可能性。

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