
The Linked Data best practices recommend to publish a new tripleset using well-known ontologies and to interlink the new tripleset with other triplesets. However, both are difficult tasks. This paper describes CRAWLER-LD, a metadata crawler that helps selecting ontologies and triplesets to be used, respectively, in the publication and the interlinking processes. The publisher of the new tripleset first selects a set T of terms that describe the application domain of interest. Then, he submits T to CRAWLER-LD, which searches for triplesets whose vocabularies include terms direct or transitively related to those in T. CRAWLER-LD returns a list of ontologies to be used for publishing the new tripleset, as well as a list of triplesets that the new tripleset can be interlinked with. CRAWLER-LD focuses on specific metadata properties, including subclass of, and returns only metadata, hence the classification “metadata focused crawler”.
| citations 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). | 1 | |
| 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 |
