
In the semantic Web, metadata and ontology plays important roles for advanced information retrieval systems. A large amount of RDF documents for describing metadata and RDF Schema documents for representing ontology is made available. Therefore, many studies to store and query metadata and ontology in RDF and RDF Schema are required. Unlike XML, RDF and RDF Schema express information resources and semantic associations between resources on the Web. And these documents can be represented based on graph model. To retrieve efficiently RDF data, the schematic information defined by RDF Schema and methods for querying by using path expressions are required. For these necessities, we define query patterns to retrieve RDF data in RDF and RDF Schema. Then for retrieving those query patterns efficiently, we extract path expressions in RDF and RDF Schema graph models and construct indexing structures based on path expressions
| 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). | 2 | |
| 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 |
