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Serving Information Needs in Business Process Consulting

机译:在业务流程咨询中满足信息需求

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Business Process Consulting is a knowledge-intensive activity that requires consultants to be aware of all available process variants and best practices to implement the most effective business transformation. Typically, during a business-consulting engagement, a large amount of unstructured documentation is produced that captures not only the processes implemented, but also information such as the requirements addressed, the business benefits realized, and the organizational changes impacted. Consulting organizations archive these documents in internal knowledge repositories to leverage the information in future engagements. Our analysis of one such repository in the IBM Global Services' SAP practice indicates that although there is tremendous scope for information reuse, the true potential of reuse is not being fully realized using existing search technology. We present a novel search technique to serve the information needs of consultants as they script various pieces of design information. The proposed system auto-formulates fat semantic queries based on the context of the design activity and runs the queries on a semi-structured knowledge repository to return a ranked set of search results. Our empirical studies show that our approach can outperform-often, significantly--a conventional keyword-based search technique in terms of both relevance and precision of search results.
机译:业务流程咨询是一项知识密集型活动,要求顾问了解所有可用的流程变体和最佳实践,以实施最有效的业务转型。通常,在进行业务咨询的过程中,会生成大量的非结构化文档,这些文档不仅捕获所实施的流程,而且还捕获诸如所解决的需求,已实现的业务收益以及所受影响的组织变更等信息。咨询组织将这些文档存档在内部知识库中,以在将来的活动中利用这些信息。我们在IBM Global Services的SAP实践中对这样一个存储库的分析表明,尽管信息重用的范围很大,但是使用现有的搜索技术并不能完全实现重用的真正潜力。我们提出了一种新颖的搜索技术,可满足顾问编写各种设计信息脚本时的信息需求。拟议的系统基于设计活动的上下文自动制定繁琐的语义查询,并在半结构化知识库中运行查询,以返回一组排序的搜索结果。我们的经验研究表明,就搜索结果的相关性和准确性而言,我们的方法通常可以胜过通常基于关键字的传统搜索技术,而且效果显着。

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