Abstract
Existing search services are inadequate for machine-based web searches since it is more difficult for machines to perceive the results of a search. This work presents an approach creating a search service that is tailored towards machine-based web search, while avoiding some of the problems associated with search results that are derived from link-based ranking algorithms. In this approach, the content of search results is enhanced by incorporating additional information which is derived from processing a set of web documents that are relevant to the search phrase. Ranking of the web pages is then based on this derived information. The search result is composed in a manner that is designed to promote relevance and aid immediate comprehension of search results.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - IEEE 10th International Conference on Services Computing, SCC 2013 |
| Pages | 749-750 |
| Number of pages | 2 |
| DOIs | |
| State | Published - Dec 1 2013 |
| Event | 2013 IEEE 10th International Conference on Services Computing, SCC 2013 - Santa Clara, CA, United States Duration: Jun 27 2013 → Jul 2 2013 |
Other
| Other | 2013 IEEE 10th International Conference on Services Computing, SCC 2013 |
|---|---|
| Country/Territory | United States |
| City | Santa Clara, CA |
| Period | 6/27/13 → 7/2/13 |
Keywords
- semantic search
- web ranking
- web search service
ASJC Scopus subject areas
- Software