Concept Indexing
| dc.contributor.author | Voss, Angi | |
| dc.contributor.author | Nakata, Keiichi | |
| dc.contributor.author | Juhnke, Marcus | |
| dc.date.accessioned | 2023-06-08T11:41:45Z | |
| dc.date.available | 2023-06-08T11:41:45Z | |
| dc.date.issued | 1999 | |
| dc.description.abstract | Marking text in a document is a convenient way of identifying bits of knowledge that are relevant for the reader, a colleague or a larger group. Based on such markings, networks of concepts with hyperlinks to their occurrences in a collection of documents can be developed. On the Internet, marked documents can easily be shared, concepts can be constructed collaboratively and the concept-document network can be used for navigation and direct access. Text marking, grounded concepts and the Internet as base technology are characteristics of our tool for managing so called “concept indexes”. We describe the current and the new design and outline some application scenarios: electronic help desks, information digests on the Web, teaching design in virtual classes and planning under quality control in distributed teams. | en |
| dc.identifier.doi | 10.1145/320297.320298 | |
| dc.identifier.uri | https://dl.eusset.eu/handle/20.500.12015/4737 | |
| dc.language.iso | en | |
| dc.publisher | Association for Computing Machinery | |
| dc.relation.ispartof | Proceedings of the 1999 ACM International Conference on Supporting Group Work | |
| dc.subject | text marking | |
| dc.subject | concepts | |
| dc.subject | collaboration | |
| dc.subject | knowledge management | |
| dc.subject | documents | |
| dc.subject | software agents | |
| dc.title | Concept Indexing | en |
| gi.citation.publisherPlace | New York, NY, USA | |
| gi.citation.startPage | 1–10 | |
| gi.citations.count | 5 | |
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| gi.citations.element | Grega Jakus, Veljko Milutinović, Sanida Omerović, Sašo Tomažič (2013): Concepts, In: SpringerBriefs in Computer Science, doi:10.1007/978-1-4614-7822-5_2 | |
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| gi.citations.element | (2007): Data Mining for Individual Consumer Models and Personalized Retail Promotions, In: Data Mining Methods and Applications, doi:10.1201/b15783-18 | |
| gi.conference.location | Phoenix, Arizona, USA |