Kaufmann, Michael; Wilke, Gwendolin; Portmann, Edy; Hinkelmann, Knut (October 2014). Combining Bottom-up and Top-down Generation of Interactive Knowledge Maps for Enterprise Search. In: Buchmann, Robert; Kifor, Claudiu Vasile; Yu, Jian (eds.) Knowledge Science, Engineering and Management. 7th International Conference on Knowledge Science, Engineering and Management: KSEM 2014. Lecture Notes in Artificial Intelligence LNAI: Vol. 8793 (pp. 186-197). Springer 10.1007/978-3-319-12096-6_17
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Our research project develops an intranet search engine with concept- browsing functionality, where the user is able to navigate the conceptual level in an interactive, automatically generated knowledge map. This knowledge map visualizes tacit, implicit knowledge, extracted from the intranet, as a network of semantic concepts. Inductive and deductive methods are combined; a text ana- lytics engine extracts knowledge structures from data inductively, and the en- terprise ontology provides a backbone structure to the process deductively. In addition to performing conventional keyword search, the user can browse the semantic network of concepts and associations to find documents and data rec- ords. Also, the user can expand and edit the knowledge network directly. As a vision, we propose a knowledge-management system that provides concept- browsing, based on a knowledge warehouse layer on top of a heterogeneous knowledge base with various systems interfaces. Such a concept browser will empower knowledge workers to interact with knowledge structures.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems 03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management |
UniBE Contributor: |
Portmann, Edy |
Subjects: |
000 Computer science, knowledge & systems 300 Social sciences, sociology & anthropology 600 Technology > 650 Management & public relations |
ISBN: |
978-3-319-12095-9 |
Series: |
Lecture Notes in Artificial Intelligence LNAI |
Publisher: |
Springer |
Projects: |
[388] Knowledge Aggregation, Representation and Reasoning |
Language: |
English |
Submitter: |
Sara D'Onofrio |
Date Deposited: |
13 Oct 2014 14:11 |
Last Modified: |
05 Dec 2022 14:37 |
Publisher DOI: |
10.1007/978-3-319-12096-6_17 |
BORIS DOI: |
10.7892/boris.58958 |
URI: |
https://boris.unibe.ch/id/eprint/58958 |
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