The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper describes a new kind of knowledge representation and mining system which we are calling the Semantic Knowledge Graph. At its heart, the Semantic Knowledge Graph leverages an inverted index, along with a complementary uninverted index, to represent nodes (terms) and edges (the documents within intersecting postings lists for multiple terms/nodes). This provides a layer of indirection between...
An approach to summarizing of results from a class of usability studies is presented. It is based on an original theory of modal language grounding. Relevant part of this theory is briefly presented and is further compared to the classical theory of fuzzy linguistic summarization known from data science literature. An example of usability studies is carried out with respect to model in which end users...
This paper presents a case study of discovering and classifying verbs in large web-corpora. Many tasks in natural language processing require corpora containing billions of words, and with such volumes of data co-occurrence extraction becomes one of the performance bottlenecks in the Vector Space Models of computational linguistics. We propose a co-occurrence extraction kernel based on ternary trees...
In this paper we present a general model for building linguistic descriptions of data (LDD) solutions, which is based on computational models of perception inspired in the computational theory of perceptions (CTP) and in fields of knowledge different from the computational intelligence area. The elements in the model aim to consider the richness and complexity that real LDD processes are endowed with...
In the last decade, Online Analytical Processing (OLAP) has taken an increasingly important role in Business Intelligence. Approaches, solutions and tools have been provided for both databases and data warehouses, which focus mainly on numerical data. These solutions are not suitable for textual data. Because of the fast growing of this type of data, there is a need for new approaches that take into...
The complicated alignment and small translation unit make the word based approaches extremely complex and thereby hard to achieve promising performance. The employment of phrase largely addresses the alignment problem. On the other hand, the phrase-based SMT (PBSMT) models suffer more from data sparse problem and behave less flexible than word-based model because of the larger translation unit --...
Network centric warfare (NCW) need to be supported by modeling and simulation systems, and the interoperability between different simulation systems is an important aspect to realize cooperation of varied military simulation systems and establish common simulation environment. However, complexities of the NCW and individual military simulation systems make the interoperability difficult to achieve...
Selecting and using a quality model is usually a first step in evaluating software quality. In this work we propose employing previous work incorporating two new characteristics into recently issued the ISO 25010 standard combined with concepts of actual usability and user experience in a flexible framework. The resulting models and framework can be instantiated to evaluate software and Web applications...
In this paper, the fundamental idea of Linguistic Models (LM) introduced by Pedrycz is followed and their genetically oriented design framework is developed. The LM is designed by the use of fuzzy granulation realized via Context-based Fuzzy C-Means (CFCM) clustering. This clustering technique builds information granules in the form of fuzzy sets and develops clusters by preserving the homogeneity...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.