With the currently growing interest in the Semantic Web, describing user semantics to model users and their social relationships is coming to play an important role. This paper proposes a novel keyword extraction method to extract user semantics from the Web. Based on co-occurrence information of words, the proposed method extracts relevant keywords depending on the context of a person. Our eva...

This paper attempts to answer the question of what defines mnemonic confabulation vis-à-vis genuine memory. The two extant accounts of mnemonic confabulation as "false memory" and as ill-grounded memory are shown to be problematic, for they cannot account for the possibility of veridical confabulation, ill-grounded memory, and well-grounded confabulation. This paper argues that the defining cha...

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...