Document Type

Conference Paper

Publication Date

3-2012

Keywords

heuristic optimization and search, sentence level search engine, suffix arrays, natural language processing

Abstract

Users searching the Internet for news are not able to find relevant fact-based results for certain queries using the major search engines. Queries that require exact substring matching in order to obtain very relevant results are not currently possible. Furthermore, search engines do not discriminate in returning results that are opinions and not quantifiable facts. Our sentence level search engine, News Fact Finder, is designed using suffix arrays, filters out opinions, and produces very relevant results that are attractive to users. The News Fact Finder produces a 73% success rate of providing relevant fact based results. Keywords:

Comments

18th International Working Conference on Requirements Engineering: Foundation for Software Quality

Faculty

Faculty of Applied Science & Technology (FAST)

Terms of Use

Terms of Use for Works posted in SOURCE.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Original Publication Citation

Ribeiro, C., Salmon, R., Amarala, S. & Hamada, C. (2012, March). The Severity of Undetected Ambiguity in Software Engineering Requirements. 18th International Working Conference on Requirements Engineering: Foundation for Software Quality. Essen, Germany

Share

COinS