Agent-Based Semantic Search at motoso.de

Abstract. Searching for information in large rather unstructured realworld data sets is a dicult task, because the user expects immediate responses as well as high-quality search results. Today, existing search engines, like Google, apply a keyword-based search, which is handled by indexed-based lookup and subsequent ranking algorithms. This kind of search is able to deliver many search results in a short time, but fails to guarantee that only relevant data is presented. The main reason for the low search precision is the lack of understanding of the system for the original user intention of the search. In the system presented in this paper, the search problem is tackled within a closed domain, which allows semantic technologies to be used. Concretely, a multi-agent system architecture is presented, which is capable of interpreting a key-words based search for the car component domain. Based on domain specic ontologies the search is analyzed and directed towards the interpreted inten...

• Type: Conference
• Year: 2009
• Where: MATES
• Authors: Nils Weber, Lars Braubach, Alexander Pokahr, Winfried Lamersdorf
• Keywords: Artificial Intelligence, Keyword-based Search, Low Search Precision, MATES 2009, Search Precision