Name
Abstract | ||
|---|---|---|
Now motivated also by the partial support of major search engines, hundreds of millions of documents are being published on the web embedding semi-structured data in RDF, RDFa and Microformats. This scenario calls for novel information search systems which provide effective means of retrieving relevant semi-structured information. In this paper, we present an “entity retrieval system” designed to provide entity search capabilities over datasets as large as the entire Web of Data. Our system supports full-text search, semi-structural queries and top-k query results while exhibiting a concise index and efficient incremental updates. We advocate the use of a node indexing scheme and show that it offers a good compromise between query expressiveness, query processing time and update complexity in comparison to three other indexing techniques. We then demonstrate how such system can effectively answer queries over 10 billion triples on a single commodity machine. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13489-0_17 | ESWC (2) |
Keywords | Field | DocType |
query processing time,entity retrieval system,semi-structural query,novel information search system,node indexing scheme,major search engine,web entity retrieval,indexing technique,query expressiveness,full-text search,entity search capability,top-k query result,web of data,indexation,semi structured data,system design,search engine | Web search query,Data mining,Query language,Information retrieval,Query expansion,Computer science,Semantic Web,Web query classification,Search engine indexing,Search-oriented architecture,Concept search,Database | Conference |
Volume | ISSN | ISBN |
6089 | 0302-9743 | 3-642-13488-2 |
Citations | PageRank | References |
20 | 1.10 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Renaud Delbru | 1 | 945 | 66.40 |
| Nickolai Toupikov | 2 | 64 | 4.04 |
| Michele Catasta | 3 | 449 | 31.64 |
| Giovanni Tummarello | 4 | 1106 | 104.63 |