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...

Keyword extraction of scientific articles is beneficial for retrieving scientific articles of a certain topic and grasping the trend of academic development. For the task of keyword extraction for Chinese scientific articles, we adopt the framework of selecting keyword candidates by Document Frequency Accessor Variety(DF-AV) and running TextRank algorithm on a phrase network. To improve domain ...

In this paper, a novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm. In contrast to existing methods which train a binary classifier for each keyword, our keyword model is constructed in a straightforward manner by exploring the relationship among all images in the feature space in the learning stage. In relevance feedback, ...

in any political system, recognition of constitutional keywords is an important pathway for understanding constitutional system desirably. the recognition matters increasingly, when a keyword is rooted in constitutional system&aposs; ideological bases and its underlying political theory. ummah, a term with religious and islamic theme, has come from religious literature into the constitution of ...

Keyword spotting is a very forward-looking and promising branch of speech recognition. This paper presents a HMM-based keyword spotting system, which works with a new algorithm. The first discussion topic is the description of the search algorithm, that needs no representation of the non-keyword parts of the speech signal. For this purpose, the computation of the HMM scores and the Viterbi algo...

Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...