
Structure is an important characteristic of documents. In the document management community it has been realized that there is a need for querying and retrieval of documents based on the structure of the documents. In this paper we propose a knowledge-based system for representation and retrieval of documents. The model on which the system is based is an extension of the description logic model of information retrieval. We discuss the advantages of our model and we show how our model can cope with many of the desirable queries involving the structure of documents.
| 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). | 6 | |
| 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. | Top 10% |
