Sindice. com: a document-oriented lookup index for open linked data

E Oren, R Delbru, M Catasta… - International …, 2008 - inderscienceonline.com
International Journal of Metadata, Semantics and Ontologies, 2008inderscienceonline.com
Data discovery on the Semantic Web requires crawling and indexing of statements, in
addition to the'linked-data'approach of de-referencing resource URIs. Existing Semantic
Web search engines are focused on database-like functionality, compromising on index
size, query performance and live updates. We present Sindice, a lookup index over
Semantic Web resources. Our index allows applications to automatically locate documents
containing information about a given resource. In addition, we allow resource retrieval …
Data discovery on the Semantic Web requires crawling and indexing of statements, in addition to the 'linked-data' approach of de-referencing resource URIs. Existing Semantic Web search engines are focused on database-like functionality, compromising on index size, query performance and live updates. We present Sindice, a lookup index over Semantic Web resources. Our index allows applications to automatically locate documents containing information about a given resource. In addition, we allow resource retrieval through inverse-functional properties, offer a full-text search and index SPARQL endpoints. Finally, we extend the sitemap protocol to efficiently index large datasets with minimal impact on data providers.
Inderscience Online