GeoTextMESS: Result Fusion with Fuzzy Borda Ranking in Geographical Information Retrieval
نویسندگان
چکیده
In this paper we discuss the integration of different GIR systems by means of a fuzzy Borda method for result fusion. Two of the systems, the one by the Universidad Politécnica de Valencia and the one of the Universidad of Jaén participated to the GeoCLEF task under the name TextMess. The proposed result fusion method takes as input the document lists returned by the different systems and returns a document list where the documents are ranked according to the fuzzy Borda voting scheme. The obtained results show that the fusion method allows to improve the results of the component systems, although the fusion is not optimal, because it is effective only if the components return a similar set of relevant documents.
منابع مشابه
Selecting the N-Top Retrieval Result Lists for an Effective Data Fusion
Although the application of data fusion in information retrieval has yielded good results in the majority of the cases, it has been noticed that its achievement is dependent on the quality of the input result lists. In order to tackle this problem, in this paper we explore the combination of only the n-top result lists as an alternative to the fusion of all available data. In particular, we des...
متن کاملA novel ranking method for intuitionistic fuzzy set based on information fusion and application to threat assessment
A novel ranking method based on multi-time information fusion is proposed for intuitionistic fuzzy sets (IFSs) and applied to the threat assessment problem, a multi-attribute decision making (MADM) one. This method integrates a designed intuitionistic fuzzy entropy (IFE), the closeness degree of technique for order preference by similarity to ideal solution (TOPSIS), the decision maker¡¯s (DM¡¯...
متن کاملFractal-wavelet-fusion-based re-ranking of joint roughness coefficients
Nowadays, Barton’s Joint Roughness Coefficients (JRC) are widely used as the index for roughness and as a challenging fracture property. When JRC ranking is the goal, deriving JRC from different fractal/wavelet procedures can be conflicting. Complexity increases when various rankings outcome from different calculation methods. Therefore, using Barton’s JRC, we cannot make a decision based on th...
متن کاملTextMESS at GeoCLEF 2008: Result Merging with Fuzzy Borda Ranking
This paper describe the joint participation by the Universidad Politécnica de Valencia and the Universidad of Jaén to the GeoCLEF task. This activity has been carried out within the framework of the Spanish TextMESS project (Intelligent, Interactive and Multilingual Text Mining based on Human Language Technologies). The method employed for the participation is a result merging algorithm based o...
متن کاملGeoreferencing Textual Annotations and Tagsets with Geographical Knowledge and Language Models
This paper describes generic approaches for georeferencing multilingual textual annotations and sets of tags from metadata associated to textual or multimedia content with high precision. We present four approaches based on: 1) Geographical Knowledge, 2) Language Modelling (LM), 3) Language Modelling with Re-Ranking predictions, 4) Fusion of Geographical Knowledge predictions with the other app...
متن کامل