In this paper we show that keyword variation of a morphologically complex language, Finnish, can be handled effectively for IR purposes by generating only the textually most frequent forms of the keyword. Theoretically Finnish nouns have about 2,000 different forms, but occurrences of most of the forms are rare. Corpus statistics showed that about 84 – 88 per cent of the occurrences of inflecte...

Our work is a contribution to the model theory of fuzzy predicate logics. In this paper we characterize elementary equivalence between models of fuzzy predicate logic using elementary mappings. Rening the method of diagrams we give a solution to an open problem of P. Hajek and P. Cintula (Conjectures 1 and 2 of [HaCi06]). We investigate also the properties of elementary extensions in witnessed ...

Automatic keyword extraction is an important subfield of information extraction process. It is a difficult task, where numerous different techniques and resources have been proposed. In this paper, we propose a generic approach to extract keyword from documents using encyclopedic knowledge. Our two-step approach first relies on a classification step for identifying candidate keywords followed b...

We introduce in this paper a method to anonymize document vector spaces. These vector spaces can be used to analyze confidential documents without disclosing private information. The method is inspired in microaggregation, a popular technique used in statistical disclosure control. URL http://doi.acm.org/10.1145/2480362.2480543 [9] Source URL: https://www.iiia.csic.es/en/node/54488 Links [1] ht...

In this paper we propose a voice activation method based on prosodic keyword verification. In current voice activation systems features like the fundamental frequency contour have not been considered so far. Normally a continuous listening word spotter is used to detect a certain predefined keyword. We conducted an experiment which shows that people emphasize this keyword when they address a re...

This paper proposed APRPRS (Advanced Personalized Research Paper Recommendation System) based on UserProfile which is applied keyword expansion through semantic analysis. An algorithm for semantic keyword expansion is designed and implemented. Whenever collected research papers by topic are selected, a renewal of UserProfile increases the frequency of each domain, topic and keyword. Each ratio ...

Our work is a contribution to the model theory of fuzzy predicate logics. In this paper we characterize elementary equivalence between models of fuzzy predicate logic using elementary mappings. Rening the method of diagrams we give a solution to an open problem of P. Hajek and P. Cintula (Conjectures 1 and 2 of [HaCi06]). We investigate also the properties of elementary extensions in witnessed ...

Keyword search is an intuitive paradigm for searching linked data sources on the web. We propose to route keywords only to relevant sources to reduce the high cost of processing keyword search queries over all sources. We propose a novel method for computing top-k routing plans based on their potentials to contain results for a given keyword query. We employ a keyword-element relationship summa...