Since a decade, text categorization has become an active field of research in the machine learning community. Most of the approaches are based on the term occurrence frequency. The performance of such surface-based methods can decrease when the texts are too complex, i.e., ambiguous. One alternative is to use the semantic-based approaches to process textual documents according to their meaning....

Textual description of the concept plays an important role in the conceptual model comprehensibility. In this paper, the self-organizing map to test the model comprehensibility is suggested. An explanatory text of the concept is transformed into a numerical vector. Several vector spaces are build using the hyponymy of the concepts from the WordNet dictionary. The received conceptual model vecto...

This paper introduces a design for the taxonomical representation of participants’ instantial meaningmaking, as the basis for providing a measure of ambiguity and contestation. We use hyponymy and meronymy as the basis for our taxonomies and adopt the System Network formalism as the basis for their representation. We achieve an integration of transcript and taxonomy using an XML based ‘satellit...

The construction of taxonomies is considered as the first step for structuring domain knowledge. Many methodologies have been developed in the past for building taxonomies from classical information repositories such as dictionaries, databases or domain text. However, in the last years, scientists have started to consider the Web as valuable repository of knowledge. In this paper we present a n...

Many of the tasks in computational linguistics, such as information retrieval, document classification, automatic summaries, word sense disambiguation, resolving prepositional phrase attachment, etc. (see Vossen 2003 for a presentation of the uses of various ontologies in solving different tasks in Natural Language Processing) need good ontologies for their success. The manual development of an...

Because of the increasing multidisciplinarity and multilinguality, communication problems in different technical fields grow more and more. Therefore, each technical field has its own specific language, terminology which is characterized by the different definition of terms. In addition to definition problems, there are also relation problems between terms. Among these problems of relation, the...

The current challenges in the world are search and retrieve accurate information from the massive web. The general term used for searching and retrieving data from the web is 'query' and keyword-matching. The existing structure uses Personalized user information system, recommender system and wordnet ontology. The Personalized user information system used to increase the speed and req...

The paper presents the strategy and results of mapping adjective synsets between plWordNet (the wordnet of Polish, cf. Piasecki et al. 2009, Maziarz et al. 2013) and Princeton WordNet (cf. Fellbaum 1998). The main challenge of this enterprise has been very different synset relation structures in the two networks: horizontal, dumbbell-model based in PWN and vertical, hyponymy-based in plWN. More...

During the last few years, extensive wordnets have been built locally for the Nordic and Baltic languages applying very different compilation strategies. The aim of the present investigation is to consolidate and examine these wordnets through an alignment via Princeton Core WordNet and thereby compare them along the measures of taxonomical structure, synonym structure, and assigned relations t...

Keyword Extraction is the process of assigning keywords to a document where the important words are selected by the system automatically. This proposed frame work is used to extract the keywords using Fuzzy logic method from Meeting Transcripts. At first, the given input is preprocessed. Subsequently, the preprocessed data will be sent to the features extraction method. In this method three fea...