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Constructing Technical Knowledge Organizations from Document Structures
- Source :
- Natural Language Processing and Information Systems ISBN: 9783319595689, NLDB
- Publication Year :
- 2017
- Publisher :
- Springer International Publishing, 2017.
-
Abstract
- Semantic Search emerged as the new system paradigm in enterprise information systems. These information systems allow for the problem-oriented and context-aware access of relevant information. Ontologies, as a formal knowledge organization, represent the key component in these information systems, since they enable the semantic access to information. However, very few enterprises already can provide technical ontologies for information integration. The manual construction of such knowledge organizations is a time-consuming and error-prone process. In this paper, we present a novel approach that automatically constructs technical knowledge organizations. The approach is based on semantified document structures and constraints that allow for the simple adaptation to new enterprises and information content.
- Subjects :
- Knowledge management
business.industry
Computer science
Knowledge organization
05 social sciences
Semantic search
02 engineering and technology
computer.software_genre
Data science
Ontology engineering
Information extraction
0202 electrical engineering, electronic engineering, information engineering
Information system
020201 artificial intelligence & image processing
0509 other social sciences
Enterprise information system
050904 information & library sciences
Adaptation (computer science)
business
computer
Information integration
Subjects
Details
- ISBN :
- 978-3-319-59568-9
- ISBNs :
- 9783319595689
- Database :
- OpenAIRE
- Journal :
- Natural Language Processing and Information Systems ISBN: 9783319595689, NLDB
- Accession number :
- edsair.doi...........56ddb8bb547e0a2150fa775ece7deab9
- Full Text :
- https://doi.org/10.1007/978-3-319-59569-6_23