
Workplace searching is often context-specific and targets a ‘right answer’ within some domain-specific aspect of the search topic. We have developed the semantic component (SC) model that allows searchers to specify a search within context-specific aspects of the main topic of documents. The goal of our study was to gain insight into how family practice physicians at sundhed.dk, a national healthcare portal in Denmark, applied the SC model to formulate queries to solve work-related search tasks. The results showed that doctors used the model purposively when choosing search facets and search concepts. They were relatively consistent in their use. The findings provide promising evidence of the model’s potential usefulness.
Searching, https://iskouk.org/subjects/BPEVJUGL, Search, Medicine, https://iskouk.org/subjects/8RJ9U9BC, facet classification
Searching, https://iskouk.org/subjects/BPEVJUGL, Search, Medicine, https://iskouk.org/subjects/8RJ9U9BC, facet classification
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
