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Automatic text summarization is the task of deriving a meaningful and concise brief from a given text while retaining the concept and key information conveyed by the original text. So far, numerous approaches and algorithms have been devised to achieve this goal with certain accuracy and effectiveness. One key aspect of text summarization is accurate identification of keywords from the given textual...
In this paper, a knowledge based approach for Word Sense Disambiguation (WSD) in Bengali language has been presented. Bengali WordNet, developed at ISI Kolkata has been used as a knowledge base and the input data set is prepared from the Bengali Text Corpus developed in the TDIL (Technology Development for Indian Language) project of the Government of India. The proposed approach resolute the exact...
We introduce a graph and an intersection based technique which uses statistical and semantic analysis for computing relative importance of textual units in large data sets in order to summarize text. Current implementations consider only the mathematical/statistical approach to summarize text. (like frequency, TFIDF, etc.) But there are many cases where two completely different textual units might...
With the development of semantic Web service, the service registry has expanded constantly to cater for new demands. How to improve the efficiency of service discovery is treated as one of the top priorities to be solved. Semantic Web service clustering can organizes and manages the service registry to narrow the scope of service search. This paper has proposed a framework of semantic Web service...
This paper presents a system that identifies coreferent elements in Spanish texts, with the purpose of contributing to an opinion extraction project. In particular, the system looks for the actual source when it is not identified in the opinion and solves coreferences between opinion sources in digital media texts in Spanish. The developed system takes as input texts where the opinions have already...
It is argued that ontologically clear entity relationship models can model the real world domains more accurately than ontologically unclear models. However, transformation of such models into the relational model at the logical level has not yet been studied sufficiently with a view to formulate new transformation rules. This paper presents a set of new transformation rules to convert ontologically...
In this paper we propose a simple web service composition method, which according the number of the input and output interface. We divide the web services into four kinds according the number of the I/O interfaces: web services with (1) single input and single output; (2) single input and multi output; (3) multi input and single output; (4) multi input and multi output. We analyze the four kinds of...
Cluster analysis is the assignment of grouping a set of observations into clusters so that observations in the same cluster are similar in some sense. One of the key features for clustering is how to define a sensible similarity measure. However, classical clustering algorithms have no ability to cluster data instances and imprecise concepts using traditional distance measures. In this paper, we proposed...
Software configuration management (SCM) controls and maintains the revision, integrity and traceability of software systems throughout the entire software life cycle. In order to solve the efficiency problems in construction, management and maintenance of software configuration component library, a component classification method based on priority-facet (PF-CCM) was proposed. Unifying the three kinds...
Image clustering is a problem that has been treated extensively in both Content-based (CBIR) and Text-Based (TBIR) Image Retrieval Systems. In this paper, we propose a new image clustering approach that takes both annotation, time and geographical position into account. Our goal is to develop a clustering method that allows an image to be part of an event cluster. We extend a well-known clustering...
The process of selecting Web services from a large number of potential services available on the Web is a challenging task for users engaged in Web service composition. This work is devoted to resolving this issue by suggesting Web services to the user. Our suggestion algorithm ranks all the available services for the user based on the semantic annotations of a service's inputs, outputs and functionality,...
Grid service matching is one of the key technologies to improve the reuse of resources and achieve high efficiency in service grid. This paper introduces more semantic features into the Grid service matching and then proposes a four-stage service matching model with semantics (FSMMS) which computes the similarity with the features of the service category, the precondition and outEffect, the inputs...
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