| Abstrakt: |
Information fusion is a vital process in information management systems which aims to merge information from multiple sources to provide a more comprehensive and accurate view of specialized domain. In structured information management systems there are several methods for aggregating, consolidating, and fusioning information, but their approaches have not yet provided a clear pattern. The aim of the current research is to explain the concept and appropriate models of information fusion in information management systems and its use in relationship-based databases such as thesaurus. The research method is a conceptual type with an analytical approach. The research population consisted of texts and outputs in the field of information fusion, and the data collected by the library method. The findings showed that information fusion models are in four general categories of models based on information flow, workflow and activity, roles and functions of entities, and understanding concepts. The Omnibus workflow and activity model and the model based on the roles and functions of Endsley’s entity as selected models according to the basic JDL are suitable for use in relationship-based information management systems such as thesauruses and ontologies, and they have the ability to be used with some changes. The main disadvantage of the reviewed information fusion models is not paying attention to the characteristics of specific information structures such as thesauruses. Not considering role of expert users in information systems based on user decisions that have the task of extracting specialized information and ignoring the collective participation system to solve complex problems, including finding similarities and solving it in the mass of information, not describing the required functions to solve the problems, managing the effects in case of system or user errors and restoring fusioned and consolidated information, as well as non-implementation of methods with operational examples in such structures, can be counted among these problems. In general, in each model of information fusion in information management systems based on thesaurus, the general processes of finding similarities, examining similarities, aggregating parameters and information fusion and managing the effectiveness of sub-systems should be considered. Unlike traditional information fusion methods that focus more on merge data, semantic information fusion emphasizes fusioning related knowledge and concepts stored in thesauruses instead of merging data and information. Therefore, it is suggested to pay attention to semantic approaches in the process of integrating and fusioning new models. [ABSTRACT FROM AUTHOR] |
