Graded-Inclusion-Based Information Retrieval Systems
نویسندگان
چکیده
This paper investigates the use of fuzzy logic mechanisms coming from the database community, namely graded inclusions, to model the information retrieval process. In this framework, documents and queries are represented by fuzzy sets, which are paired with operations like fuzzy implications and T-norms. Through different experiments, it is shown that only some among the wide range of fuzzy operations are relevant for information retrieval. When appropriate settings are chosen, it is possible to mimic classical systems, thus yielding results rivaling those of state-of-the-art systems. These positive results validate the proposed approach, while negative ones give some insights on the properties needed by such a model. Moreover, this paper shows the added-value of this graded inclusion-based model, which gives new and theoretically grounded ways for a user to easily weight his query terms, to include negative information in his queries, or to expand them with related terms.
منابع مشابه
On the use of tolerant graded inclusions in information retrieval
In this contribution, a fuzzy-set-based information retrieval model is considered. First, we show that the retrieval mechanism of such a retrieval model can be defined in terms of graded inclusion. This approach derives from the notion of division of fuzzy relations in the framework of Database Management Systems. Then, we point out different lines of extension of the graded inclusion aimed at ...
متن کاملPerformance Evaluation of Medical Image Retrieval Systems Based on a Systematic Review of the Current Literature
Background and Aim: Image, as a kind of information vehicle which can convey a large volume of information, is important especially in medicine field. Existence of different attributes of image features and various search algorithms in medical image retrieval systems and lack of an authority to evaluate the quality of retrieval systems, make a systematic review in medical image retrieval system...
متن کاملImproved Skips for Faster Postings List Intersection
Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...
متن کاملImproved Skips for Faster Postings List Intersection
Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...
متن کاملFactors Affecting Student's Scientific Information Retrieval based on Fuzzy Logic Method Compared to Traditional Method
Background and aim: The aim of this study was to identify the factors affecting on students' performance in information retrieval based on fuzzy logic method compared to traditional method. Materials and methods: This survey-descriptive study was performed using quantitative approach. The research population was 34 PhD students, and the researcher-made questionnaire was used. Data were analyzed...
متن کامل