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Project Planning and Management
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Enterprise resource planning
Remove constraint Keywords: Enterprise resource planning
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Presentation
This video was recorded at Workshop on Advanced IT Solutions and Competitiveness of SMEs, Lviv 2006. It is generally recognized that the competitiveness of SMEs in the present-day business environment ultimately relies upon effective implementation of the most up-to-date information technologies. However, the Ukrainian IT space is characterized with highly noticeable information gap between IT-saturated export-oriented software development companies and ordinary businesses or governmental agencies. The seminar has provided perfect platform for the interaction between local SMEs, communicating their IT needs, and IT service providers like Intellias, briefing on their enterprise-based IT offerings. The seminar has assembled insightful speakers from Ukrainian and international IT companies, as well as representatives from research institutions, consulting firms and IT experienced SMEs. The case studies from Western Ukrainian companies, possessing experience in implementation of IT solutions in industrial process, have illustrated emerging difficulties in aligning IT automated process with qualifications and professional level of the involved personnel. The practical aspects of introducing ERP systems for optimization of production process have been presented by Vitaly Pyasetsky (Lvivkholod public corporation) and Andriy Tsehelyk (Enzyme joint-stock company). The discussion has further focused on the international experience of the implementation of the information technologies as well as networking and partnership practices. Valuable contributions to the topic has been made by Maria-Luisa Sanseverino E4 Project Coordinator from Centro Ricerche Fiat and Patric Sitek from Bremen Institute of Industrial Technology and Applied Work Science. Particular emphasis has been placed on the E4 Project: Extended Enterprise Management in Enlarged Europe including collaboration initiatives and close involvement of the Eastern European enterprises within its framework. The discussion has been reinforced by the case study on Ivano Frankivsk business portal, assembling best practices from abroad business development agencies.
- Subjects:
- Computing, Data Science and Artificial Intelligence and Management
- Keywords:
- Ukraine Enterprise resource planning Small business Management information systems
- Resource Type:
- Presentation
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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:
- Computing, Data Science and Artificial Intelligence and Management
- Keywords:
- Software documentation Enterprise resource planning Ontologies (Information retrieval)
- Resource Type:
- Presentation
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