Fuzzy Logic Ranking for Personalized Geographic Information Retrieval

نویسندگان

  • Garnett Carl Wilson
  • Rodolphe Devillers
  • Orland Hoeber
چکیده

This work describes a novel fuzzy logic system designed to meet the real world demand of providing intelligent ranking to large repositories of documents previously encoded with non-fuzzy (crisp) metadata. The fuzzy logic prototype was tested in practice to complement the GeoConnections Discovery Portal, which is a web portal for specialized search and retrieval of Canadian geographic data resources via an associated web service. Users of the portal are able to query the system and then filter their search results by selecting topic categories, spatial and temporal extents, and resource types. The authors present a fuzzy logic information retrieval system that utilizes document metadata, and compare it to an unranked listing, standard term frequency-inverse document frequency (TF-IDF) ranking, and a TF-IDF/fuzzy hybrid system. Results indicate that the fuzzy logic system provided the overall highest precision among the top ranked documents for searches by an expert user, and that these results were robust with respect to the number of results returned by a number of different query types.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Qualitative Representation and Similarity Measurement Method in Geographic Information Retrieval

The modern geographic information retrieval technology is based on quantitative models and methods. The semantic information in web documents and queries cannot be effectively represented, leading to information lost or misunderstanding so that the results are either unreliable or inconsistent. A new qualitative approach is thus proposed for supporting geographic information retrieval based on ...

متن کامل

Factors 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

Fuzzy Web-based Information Retrieval Systems

The main problem on the Web is to locate information. Some reasons for this arise from the inefficiency of interfaces, incorrect information organization and data structure issues. A fuzzy approach to information retrieval systems can mitigate these problems. Advantages of fuzzy logic over sharp ones are the retrieval of information items which partial match the query and their ranking of impor...

متن کامل

XML Fuzzy Ranking

This paper proposes a method of ranking XML documents with respect to an Information Retrieval query by means of fuzzy logic. The proposed method allows imprecise queries to be evaluated against an XML document collection and it provides a model of ranking XML documents. In addition the proposed method enables sophisticated ranking of documents by employing proximity measures and the concept of...

متن کامل

A geographic information system for gas power plant location using analytical hierarchy process and fuzzy logic

This study recommends a GIS-based (Geographic Information Systems) and multi-criteria evaluation for site selection of gas power plant in Natanz City of Iran. The multi-criteria decision framework integrates legal requirements and physical constraints related to environmental and economic concerns. It also builds a hierarchy model for gas power plant suitability. The methodologies used for site...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011