.png){kind=icon}
Return
A relation-based search engine in Semantic Web
.png){kind=icon}
PRE
AI
DOI：10.1109/TKDE.2007.18.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
With the development of the Web, an information Big Bang has taken place on the Internet. Search engines have become one of the most helpful tools for obtaining useful information from the Internet. However, instead of caring about the semantics of information, the machine on the current Web, cares about the location and display of information only Because of this shortcoming of the current Web, the search results by even the most popular search engines cannot produce satisfactory results. The development of the next generation Web, Semantic Web, will turn the situation around completely. This paper proposes a prototype relation-based search engine, OntoLook, which has been implemented in a virtual Semantic Web environment in our lab. We also present its system architecture and analyze the key algorithm.
Keywords:
Semantic Web
Web search
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
10.4
Papers:
6.9K
Citations:
3.2W
Organization
No organization information available
Cited Papers
ShareSave
ShareSaveThe juxtamembrane domain of cadherin regulates integrin-mediated adhesion and neurite outgrowth
PREAI
ShareSaveShareSaveThe Semantic Web - A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities.png)
SCIENTIFIC AMERICAN
SCIENTIFIC AMERICANIF3.1
PREAI
ShareSaveShareSave
View more