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In order to improve performance of existing information retrieval technology based on keyword matching, this paper introduces a framework of multi-agent information retrieval system based on ontology according to ontology theory and multi-agent theory. The design thought of system, functions of every agent
Structural engineering experiment plays an important role in the civil infrastructure design and research. The diversity and heterogeneity of information representation among multiple experimental sites makes the experiment information integration difficult and lead to the poor accuracy when making the keyword
It has become common to search necessary services and contents using the Internet, but it is difficult to find exactly what one is looking for through keywords as each service is described in just too many ways. We developed "laddering" search service system that matches the needs of the users with the search targets
In this paper, an OntoCrawler based on the ontology-supported technique for webpage searching was proposed, in which only user entered some keywords would the system supported by domain ontology actively provide comparison and verification for those keywords so as to up-rise precision rate of webpage searching. This
creative ideas to customers. In order to solve this problem, this paper presents algorithms to achieve customers' target. This project can be divided into three parts. The first part is to enrich and to analyse the input keywords by semantic web. The second part is to general raw ideas and relevant ideas by an inference
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.