In this position paper we describe the actual state of the development of an integrated set of tools (called SCHUG) for language processing supporting interaction with disparate sources of information, making thus Natural Language Processing (NLP) and Human Language Technology (HLT) even more relevant for Information Technology (IT) applications. The set of tools is realizing the communication ...

An information retrieval system (IRS) based on fuzzy multi-granular linguistic information is proposed. The system has an evaluation method to process multi-granular linguistic information, in such a way that the inputs to the IRS are represented in a different linguistic domain than the outputs. The system accepts Boolean queries whose terms are weighted by means of the ordinal linguistic valu...

Inspired by the concept of deviation measure between two linguistic preference relations, this paper further defines the deviation measure of a linguistic preference relation to the set of consistent linguistic preference relations. Based on this, we present a consistency index of linguistic preference relations and develop a consistency measure method for linguistic preference relations. This ...

In the domain of Computing with words (CW), fuzzy linguistic approaches are known to be relevant in many decision-making problems. Indeed, they allow us to model the human reasoning in replacing words, assessments, preferences, choices, wishes. . . by ad hoc variables, such as fuzzy sets or more sophisticated variables. This paper focuses on a particular model: Herrera & Mart́ınez’ 2-tuple lingu...

In this work, we analyze how the linguistic labels of a linguistic variable can be a useful tool in the L-Fuzzy Concept Theory. In concrete, we study the L-Fuzzy concepts obtained from a departure set represented by means of these linguistic labels applied to the set of objects or attributes. We also illustrate the results by means of an example.

This paper offers a linguistic approach to the study of the potency of query expansion while retrieving information from the web. The expansion allows enhancing the results; however, some queries show lower effectiveness after expansion. The objective of the study is to analyze linguistic features of initial query (IQ) as predictors for the expansion potency by different systems. The IQ is cons...

To allow for a direct connection of this linguistic information for terms with corresponding classes and properties in a domain ontology, we developed a lexicon model (LingInfo) that enables the definition of LingInfo instances (each of which represents a term) for each class or property. The LingInfo model is represented by use of a meta-class, which allows for the representation of LingInfo i...

The generalization of Boolean lnformatlon Retrieval Systems (IRS) is still an open research field; in fact, though such systems are diffused on the market, they present some limitations; one of the main features lacking in these systems is the ability to deal with the “imprecision” and “subjectivity” characterizing retrieval activity. However, the replacement of such systems would be much more ...

Key term extraction is very useful for information retrieval. Most term extraction methods use one of two approaches, namely lexical and grammatical. We argue that due to the diierences in linguistic and character set characteristics of Chinese and Japanese, a lexical approach is more suitable for Chinese whereas a grammatical approach is more suitable for Japanese. In this paper, we present tw...