Name
Abstract | ||
|---|---|---|
Local search engines are a vital part of presence of local businesses on the Internet. Local search engines improvement is an important element to ensure that local businesses can be found by millions of people whom are using web to find services. However, web presence can be disguised or not properly documented. Our approach will improve the effectiveness of local search, and increase the ranking of local businesses. We introduce an approach for enhancing local search engines efficiency in returning more accurate results. Our approach consists of semantically enriching the results of a query using Linked Open Data (LOD) web content. Our preliminary evaluation demonstrated evidence that our approach has a better search with more accurate results. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2872518.2890481 | WWW (Companion Volume) |
Field | DocType | Citations |
Data mining,Web search query,World Wide Web,Web presence,Semantic search,Information retrieval,Computer science,Linked data,Local search (optimization),Web content,RDF,The Internet | Conference | 5 |
PageRank | References | Authors |
0.49 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mazen Alobaidi | 1 | 20 | 3.96 |
| Khalid Mahmood Malik | 2 | 8 | 3.60 |
| Susan Sabra | 3 | 5 | 0.49 |