SBIR Phase I: Non-Expert Conceptual Annotation

这个小型企业创新研究(SBIR)第一阶段项目探索了一种文档索引和搜索的方法，它用语言和语义丰富的本体中的“概念术语”取代传统的关键字。其直接研究目标将是确定使用如此丰富的描述性语言是否能够使非专家(即非档案管理员/图书馆员)能够有效地用“概念术语”注释媒体资源(特别是非文本媒体)，从而有效地提高后续检索的精确度和查全率。这项研究将制作技术和实践的原型，使半熟练工人(来自不同种族和经济背景的社区)能够使用概念性语言有效而轻松地描述内容。这一过程的结果将评估注释的准确性及其在指导浏览和搜索方面的有效性。使非专家(特别是内容制作者)能够提高搜索质量，即创建丰富和有用的元数据，将使内容的发布和共享更加有效和有用。这对研究界来说可能是一个有用的资源。此外，提供的技术的发展也可能意味着语言技术可以通过使新的劳动力群体执行概念注释这一重要任务来部署。因此，支持在元数据制作领域设立新的半技术入门级职位可能会扩大新经济的影响。

This Small Business Innovation Research (SBIR) Phase I project explores an approach to document indexing and search, which replaces conventional keywords with "concept terms" from a linguistically and semantically rich ontology. Its direct research objectives will be to determine whether the use of such a rich descriptive language can allow non-experts (i.e., non-archivists/librarians) to effectively annotate media resources (especially non-textual media) with "concept terms" which usefully improve both the precision and recall of subsequent searches. The research will prototype technologies and practices that enable semi-skilled workers (drawn from ethnically and economically diverse neighborhoods) to usefully and easily describe content using a conceptual language. The results of this process will be evaluated as to the accuracy of the annotations and their effectiveness in guiding browsing and search. Enabling non-experts (especially content producers) to improve the quality of searches, that is, to create rich and useful metadata, will make the publication and sharing of content more effective and useful. This could be a useful resource for the research community. In addition, the development of the proffered technology may also mean that language technologies can be deployed by enabling a new segment of the work force to perform the important task of concept annotation. Thus, supporting the creation of new semi-skilled entry-level positions in metadata production may broaden the impact of the new economy.