Of late, social tagging has become popular trend in information organisation. In context of digital resources the tags assigned by users also play vital role in information retrieval. For information discovery the ‘terms’ used to retrieve the results also depend upon the ‘relevancy’ or ‘weightage’ of the keywords. This study investigates ‘relevancy ranking’ of terms used in the full text of the...

it is important to identify the genetic diversity and phylogenic relationships for achieving desirable citrus cultivars. in present investigation rapd markers were used to determine genetic diversity among 29 citrus genotypes. from 19 used primers, 248 polymorphic bands were amplified. primers opa-07 and opa-05 (with 19 and 8 amplified bands), produced maximum and minimum polymorphic bands, res...

Iris belongs toIridaceae family and it is monocotyledon. Iris is one of the important ornamental and medicinal plants. 34 iris genotypes (14 species) collected from different provinces of Iran were planted at National Institute of Ornamental Plants (NIOP) Iran. All of the species evaluated for 15 quantitative traits and 30 qualitative traits. Results showed that the highest positive correlation...

Literature-based discovery (LBD) is focusing on automatically generating scientific hypotheses by uncovering hidden, previously unknown relations between existing knowledge. Co-occurrences between biomedical concepts can be represented by a network that consists of a set of nodes representing concepts and a set of edges representing their relationships. In this work we propose a method for link...

With the increasing influence of Business Process Management, large process model repositories emerged in enterprises and public administrations. Their effective utilization requires meaningful and efficient capabilities to search for models that go beyond text based search or folder navigation, e.g., by similarity. Existing measures for process model similarity are often not applicable for eff...

Our system to KBA Track at TREC2012 is described in this paper, which includes preprocessing, index building, relevance feedback and similarity calculation. In particular, the Jaccard coefficient was applied to calculate the similarities between documents. We also show the evaluation results for our team and the comparison with the best and median evaluations.

In this paper we describe the three approaches we submitted to the Semantic Textual Similarity task of SemEval 2012. The first approach considers to calculate the semantic similarity by using the Jaccard coefficient with term expansion using synonyms. The second approach uses the semantic similarity reported by Mihalcea in (Mihalcea et al., 2006). The third approach employs Random Indexing and ...

Similarity coefficients are widely used in software engineering for several purposes, such as identification of refactoring opportunities and system remodularizations. Although the literature provides several similarity coefficients that vary on the computing strategy, there is a tendency among researchers to make habitual use of certain coefficients that others in their field are using. Conseq...

Abstract –Information filtering systems have a vital role in exploiting the flurry of information that keeps on growing exponentially. This study focuses on improving the performance of genetic algorithms based information filtering. In GA, the fitness function is the performance measure for relevance judgement. Being the backbone of the evaluation process the selection of fitness function is v...

Efficiently computing the weighted Jaccard similarity has become an active research topic in machine learning and theory. For sparse data, standard technique is based on consistent weighed sampling (CWS). dense however, methods rejection (RS) can be much more efficient. Nevertheless, existing RS are still slow for practical purposes. In this paper, we propose to improve by a strategy, which cal...