Sindice. com: a document-oriented lookup index for open linked data
International Journal of Metadata, Semantics and Ontologies, 2008•inderscienceonline.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 …
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.
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