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Presentation
This video was recorded at 7th International Semantic Web Conference (ISWC), Karlsruhe 2008. The documentation of Enterprise Research Planning (ERP) systems is usually (1) extremely large and (2) combines various views from the business and the technical implementation perspective. Also, a very specific vocabulary has evolved, in particular in the SAP domain (e.g. SAP Solution Maps or SAP software module names). This vocabulary is not clearly mapped to business management terminology and concepts. It is a well-known problem in practice that searching in SAP ERP documentation is difficult, because it requires in-depth knowledge of a large and proprietary terminology. We propose to use ontologies and automatic annotation of such large HTML software documentation in order to improve the usability and accessibility, namely of ERP help files. In order to achieve that, we have developed an ontology and prototype for SAP ERP 6.0. Our approach integrates concepts and lexical resources from (1) business management terminology, (2) SAP business terminology, (3) SAP system terminology, and (4) Wordnet synsets. We use standard GATE/KIM technology to annotate SAP help documentation with respective references to our ontology. Eventually, our approach consolidates the knowledge contained in the SAP help functionality at a conceptual level. This allows users to express their queries using a terminology they are familiar with, e.g. referring to general management terms. Despite a widely automated ontology construction process and a simplistic annotation strategy with minimal human intervention, we experienced convincing results. For an average query linked to an action and a topic, our technology returns more than 3 relevant resources, while a naïve term-based search returns on average only about 0.2 relevant resources.
- Subjects:
- Management and Computing
- Keywords:
- Enterprise resource planning Software documentation Ontologies (Information retrieval)
- Resource Type:
- Presentation
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Open (Access) Journal-Article
Working adults are entering MBA programs in increasing numbers. Some matriculating professionals have difficulty meeting the competitive rigors of business school life for a variety of reasons. One solution to these challenges is to provide learning support systems geared toward individual student backgrounds and interests. The purpose of this paper is to illustrate a screening process for delivering content in a non-residential MBA program for two diverse academic disciplines: organizational management and accounting. The results show that analytical-based classification techniques can effectively identify marginal students for the purpose of providing additional learning resources. The analysis further shows that intelligent tutors can deliver customized Web-based content at a time convenient to the working professional.
- Subjects:
- Management
- Keywords:
- Management--Study teaching (Higher) Adult education Distance education -- Computer-assisted instruction
- Resource Type:
- Open (Access) Journal-Article
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