Discovering and Ranking New Links for Linked Data Supplier

For new data supplier who wants to join the web of data club, it's difficult to find new links between local repository and data sets in the web of data to make local data well-connected or harmonize with other data. The purpose of this research is not for finding similar entities but discovering new potential link for helping users have more choice for using multiple links instead of only using "owl:sameAs". The approach use information retrieval technique index the data sets and Page Rank and graph theory analyze RDF document to filter links. We implemented our method using Dbpedia data sets and two open ontologies, the results showed our approach can discover new links with highly accuracy.

[1]  Eyal Oren,et al.  Sindice.com: a document-oriented lookup index for open linked data , 2008, Int. J. Metadata Semant. Ontologies.

[2]  Enrico Motta,et al.  The Semantic Web - ISWC 2005, 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6-10, 2005, Proceedings , 2005, SEMWEB.

[3]  Jürgen Umbrich,et al.  DING! Dataset Ranking using Formal Descriptions , 2009, LDOW.

[4]  Vagelis Hristidis,et al.  ObjectRank: Authority-Based Keyword Search in Databases , 2004, VLDB.

[5]  Aidan Hogan,et al.  ReConRank: A Scalable Ranking Method for Semantic Web Data with Context , 2006 .

[6]  Jon Kleinberg,et al.  Authoritative sources in a hyperlinked environment , 1999, SODA '98.

[7]  Amit P. Sheth,et al.  Context-Aware Semantic Association Ranking , 2003, SWDB.

[8]  Shlomo Moran,et al.  SALSA: the stochastic approach for link-structure analysis , 2001, TOIS.

[9]  Gang Wu,et al.  SWRank: An Approach for Ranking Semantic Web Reversely and Consistently , 2007 .

[10]  Giovanni Tummarello,et al.  Searching web data: An entity retrieval and high-performance indexing model , 2012, J. Web Semant..

[11]  Christoph Bussler,et al.  Semantic Web and Databases, Second International Workshop, SWDB 2004, Toronto, Canada, August 29-30, 2004, Revised Selected Papers , 2005, SWDB.

[12]  Sougata Mukherjea,et al.  Utilizing Resource Importance for Ranking Semantic Web Query Results , 2004, SWDB.

[13]  Timothy W. Finin,et al.  Swoogle: a search and metadata engine for the semantic web , 2004, CIKM '04.

[14]  Steffen Staab,et al.  TripleRank: Ranking Semantic Web Data by Tensor Decomposition , 2009, SEMWEB.

[15]  Abraham Bernstein,et al.  The Semantic Web - ISWC 2009, 8th International Semantic Web Conference, ISWC 2009, Chantilly, VA, USA, October 25-29, 2009. Proceedings , 2009, SEMWEB.

[16]  Yun Peng,et al.  Swoogle: A semantic web search and metadata engine , 2004, CIKM 2004.

[17]  Yun Peng,et al.  Finding and Ranking Knowledge on the Semantic Web , 2005, SEMWEB.