A Hybrid Approach for the Management of FAQ Documents in Latin Languages
نویسندگان
چکیده
Essential for the success of FAQ systems is their ability to systematically manage knowledge including the intelligent retrieval of useful FAQ documents and the continuous evolution of the knowledge base. Based on our experiences, we propose a hybrid approach for the management of FAQ documents on programming languages written in Portuguese, Spanish or other latin languages. The approach integrates various types of knowledge and provides intelligent mechanisms for knowledge access as well as the continuous evolution and improvement of the FAQ system throughout its life cycle. The principal strength of the approach lies in the integration of techniques from Case-Based Reasoning and Information Retrieval customized to the specific requirements and characteristics of the management of FAQ documents. The approach is currently being implemented and evaluated in the context of an international research project.
منابع مشابه
CITOM: An Incremental Construction of Topic Maps
This paper proposes the CITOM approach for an incremental construction of multilingual Topic Maps. Our main goal is to facilitate user’s navigation across documents available in different languages. Our approach takes into account three types of information sources: (a) a set of multilingual documents, (b) a domain thesaurus and (c) all the possible questioning sources such as FAQ and user’s or...
متن کاملSafety Risks Impacts Analysis on Construction Project Objectives Using a Hybrid Model of Fuzzy Expert System and Latin Hyper Cube Sampling
Background and aims: The construction industry has a high rate of fatal or nonfatal injuries and all around the world which remains one of the most dangerous occupations till now. Since project safety and measuring danger in the construction industry is a crucial subject, so this study aimed to measure the impacts of safety risks on the time and cost objectives of project using a hybrid method ...
متن کاملAn Improved Flower Pollination Algorithm with AdaBoost Algorithm for Feature Selection in Text Documents Classification
In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...
متن کاملAn Improved Flower Pollination Algorithm with AdaBoost Algorithm for Feature Selection in Text Documents Classification
In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...
متن کاملA New Approach for Text Documents Classification with Invasive Weed Optimization and Naive Bayes Classifier
With the fast increase of the documents, using Text Document Classification (TDC) methods has become a crucial matter. This paper presented a hybrid model of Invasive Weed Optimization (IWO) and Naive Bayes (NB) classifier (IWO-NB) for Feature Selection (FS) in order to reduce the big size of features space in TDC. TDC includes different actions such as text processing, feature extraction, form...
متن کامل