ML Anthology

Swoogle: Searching for Knowledge on the Semantic Web

Timothy W. Finin, Li Ding, Rong Pan, Anupam Joshi, Pranam Kolari, Akshay Java, Yun Peng
AAAI 2005 pp. 1682-1683
doi:10.13016/m2g44hv47 /aaai/2005/finin2005aaai-swoogle/

Abstract

Swoogle is an implemented system that discovers, analyzes and indexes knowledge encoded in semantic web documents on the Web. Swoogle reasons about these documents and their constituent parts (e.g., terms and triples) and records meaningful metadata about them. Swoogle provides webscale semantic web data access service, which helps human users and software systems to find relevant documents, terms and triples, via its search and navigation services. Swoogle also provides a customizable algorithm inspired by Google's PageRank algorithm but adapted to the semantics and use patterns found in semantic web documents.

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Cite

Text

Finin et al. "Swoogle: Searching for Knowledge on the Semantic Web." AAAI Conference on Artificial Intelligence, 2005. doi:10.13016/m2g44hv47

Markdown

[Finin et al. "Swoogle: Searching for Knowledge on the Semantic Web." AAAI Conference on Artificial Intelligence, 2005.](https://mlanthology.org/aaai/2005/finin2005aaai-swoogle/) doi:10.13016/m2g44hv47

BibTeX

@inproceedings{finin2005aaai-swoogle,
  title     = {{Swoogle: Searching for Knowledge on the Semantic Web}},
  author    = {Finin, Timothy W. and Ding, Li and Pan, Rong and Joshi, Anupam and Kolari, Pranam and Java, Akshay and Peng, Yun},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1682-1683},
  doi       = {10.13016/m2g44hv47},
  url       = {https://mlanthology.org/aaai/2005/finin2005aaai-swoogle/}
}