Travel planning and booking on the web has become one of the important issues of this activity. With the rise of the user-generated content the travelers' experiences have had an increasingly significant role as source of information. This paper proposes a portal that could automatically...

There are much more publications in open literature on the topic of linguistic variables as compared with Computing With Words (CWW). This paper intends to change that situation by demonstrating the feasibility of a working system. In order to accomplish this goal, a very focused example of an...

Lately, the ontologies have become more and more complex, and they are used in different domains. Some of the ontologies are domain independent; some are specific to a domain. In the case of text processing and information retrieval, it is important to identify the corresponding ontology to a...

In this research, a computer assisted framework was developed to help researchers in conducting qualitative research. This framework leveraged the GATE platform, along with natural language processing and knowledge extraction techniques, to develop an automatic text annotation and summarisation...

Probabilistic language models have gained popularity in Natural Language Processing due to their ability to successfully capture language structures and constraints with computational efficiency. Probabilistic language models are flexible and easily adapted to language changes over time as well...

It has been said that there is something deeply touching about creating something and then having a chat with it. Machines in general, and more specifically computers, are not the exception to that tendency. In fact, since the Turing dissertation "Computing Machinery and Intelligence", machines'...

The traditional Boolean word-based approach to information retrieval (IR) considers only words for indexing. Irrelevant information is retrieved because of non-inclusion of semantic information like word senses and word context. In this work, the importance of representing the documents along...

The study of minimum entropy of a natural language has been an interesting research subject. For English, great progress has been made, but few reports on other languages have been found in literature. Based on two hypotheses on the conservation of information quantity, we proposed a method...

This paper presents some original techniques for implementing accounting knowledge in PROLOG language. We will represent rules of operation of accounts, the texts of accounting operations, and how to compute the depreciation.

This research was inspired by the procedures that are used by human bibliographic searchers: Given some textual, only 'positive' (interesting) examples, coming from one category find the most similar ones that belong to a relevant topic. The problem of categorization of unlabeled relevant and...