Name
Abstract | ||
|---|---|---|
Nowadays large collections of documents of various types of information are available on the Internet, and finding relevant information on the World Wide Web is becoming a critical issue. Available search engines mostly rely on information retrieval techniques in finding information. They lack the desired power in query formulation which is beyond the keywords search. We introduce a method for querying the Web data that integrates both search engine and database techniques to support more complex search requests and get more precise results. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/AINA.2003.1192959 | AINA |
Keywords | Field | DocType |
relevant information,keywords search,world wide web,database technique,critical issue,web data,search engine,available search engine,information retrieval technique,internet,ontology-based method,information retrieval techniques,complex search request,complex search requests,web data querying,search engines,query formulation,database techniques,memory,information retrieval,databases,ontologies,data mining | Ontology (information science),Web search query,World Wide Web,Search engine,Human–computer information retrieval,Information retrieval,Query expansion,Computer science,Web query classification,Web crawler,The Internet | Conference |
ISBN | Citations | PageRank |
0-7695-1906-7 | 8 | 0.88 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiqiang Zhang | 1 | 22 | 6.43 |
| Chunxiao Xing | 2 | 177 | 68.66 |
| Lizhu Zhou | 3 | 1594 | 108.53 |
| Jianhua Feng | 4 | 2713 | 121.30 |