Journal of Information and Organizational Sciences (JIOS)
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GENERATION OF A SET OF KEY TERMS CHARACTERISING TEXT DOCUMENTS
The presented paper describes statistical methods (information gain, mutual X^2 statistics, and TF-IDF method) for key words generation from a text document collection. These key words should characterise the content of text documents and can be used to retrieve relevant documents from a document collection. Term relations were detected on the base of conditional probability of term occurrences. The focus is on the detection of those words, which occur together very often. Thus, key words, which consist from two terms were generated additionally. Several tests were carried out using the 20 News Groups collection of text documents
SOME APPROACHES TO TEXT MINING AND THEIR POTENTIAL FOR SEMANTIC WEB APPLICATIONS
In this paper we describe some approaches to text mining, which are supported by an original software system developed in Java for support of information retrieval and text mining (JBowl), as well as its possible use in a distributed environment. The system JBowl1 is being developed as an open source software with the intention to provide an easily extensible, modular framework for pre-processing, indexing and further exploration of large text collections. The overall architecture of the system is described, followed by some typical use case scenarios, which have been used in some previous projects. Then, basic principles and technologies used for service-oriented computing, web services and semantic web services are presented. We further discuss how the JBowl system can be adopted into a distributed environment via technologies available already and what benefits can bring such an adaptation. This is in particular important in the context of a new integrated EU-funded project KP-Lab2 (Knowledge Practices Laboratory) that is briefly presented as well as the role of the proposed text mining services, which are currently being designed and developed there
A METHOD FOR IMPROVEMENT OF OBJECTIVITY OF E-SERVICE QUALITY EVALUATION
Measurement and improvement of e-service quality is important for sustaining competitive advantage of an e-commerce web site. A number of e-service quality measures have recently been developed that predominantly rely on the subjective evaluation of diverse quality attributes. To increase the objectivity of e-service quality measurement a recently developed measure of e-service quality has been adapted in a way that replaces its Likert type scales for evaluation of specific attributes with check-lists that include specific observable elements for appraisal and a scoring procedure. The consistency of scoring with this adaptation of an e-service quality measure was investigated in comparison to the use of the standard measure with Likert type scales and by the use of untrained and trained evaluators. The results of the empirical evaluation indicate a greater inter-rater consistency when the adapted/objective measure is used for evaluation of the efficiency dimension of e-service quality
AN AUTOMATIC AND METHODOLOGICAL APPROACH FOR ACCESSIBLE WEB APPLICATIONS
Semantic Web approaches try to get the interoperability and communication among technologies and organizations. Nevertheless, sometimes it is forgotten that the Web must be useful for every user, consequently it is necessary to include tools and techniques doing Semantic Web be accessible. Accessibility and usability are two usually joined concepts widely used in web application development, however their meaning are different. Usability means the way to make easy the use but accessibility is referred to the access possibility. For the first one, there are many well proved approaches in real cases. However, accessibility field requires a deeper research that will make feasible the access to disable people and also the access to novel non-disable people due to the cost to automate and maintain accessible applications. In this paper, we propose one architecture to achieve the accessibility in web-environments dealing with the WAI accessibility standard and the Universal Design paradigm. This architecture tries to control the accessibility in web applications development life-cycle following a methodology starting from a semantic conceptual model and leans on description languages and controlled vocabularies
LEARNING PHENOMENA IN MANUFACTURING AND ARTIFICIAL NEURAL NETWORK
In the industrially advanced countries, that are different from our ex and present countries, to learning phenomena has been dedicated a significant attention for the last 60 years. One of more basic reasons is multiple purposes of results. Until now, there have been applied various approaches, methods and procedures for empirical data approximation, and in this articles some possibilities of artificial neural network application are researched
DEVELOPING SYSTEM DYNAMICS MODELS WITH "STEP-BY-STEP" APPROACH
System dynamics is a powerful tool that enhances learning about company, market and competitors; portrays the cognitive limitations on the information gathering and processing power of human mind; facilitates the practice of considering opinions; and supports building of ";What if"; scenarios. Although the literature on system dynamics modeling is very rich with applications in many fields, not many papers on developing system dynamics models were published so far. In this paper we portray current approaches to the development of system dynamics models. These are (1) model development based on influence diagram, (2) model development based on the identification of resources and their states, (3) usage of generic structures for specific domain field, and (4) component strategy for the formulation of system dynamics models. Validation is an important issue that none of these approaches tackles. We propose a ";step-by-step"; approach that integrates validation with developing process of system dynamics models. This approach will be demonstrated on the example of development of a simple inventory model
SUCCESS AND IMPACT FACTORS OF CARD-BASED LOYALTY SYSTEMS - AN EMPIRICAL ANALYSIS IN THE GERMAN RETAIL SECTOR
The retail sector in Germany has also been badly hit by intensifying international competition. Confronted with lowering margins and the movement of customers to the most favourable provider in each case, it became increasingly more difficult for companies to reach such goals as turnover and market share inputs. With the introduction of Card-based Loyalty Systems (CBLS), an instrument appears to have been found which increases customer retention through the evaluation of purchasing information and enables the companies to realize their goals even under difficult market conditions. The provision for this, however, is the permanent acceptance of the customer with regard to these systems.This paper first gives an overview of the connections between CBLS and increased customer retention before their impact factors are empirically analyzed for consumer utility. If these factors flow into a cost-benefit analysis, it appears that privacy of the consumers is endangered in the long term and an added value and consequently the preconditional permanent acceptance of the customer is not necessarily given. The resulting question ";Why do customers make use of CBLS anyway?"; can be answered using the approach of hyperbolic utility-discounting
FEASIBILITY OF INVESTMENT IN BUSINESS ANALYTICS
Trends in data processing for decision support show that business users need business analytics, i.e. analytical applications which incorporate a variety of business oriented data analysis techniques and task-specific knowledge. The paper discusses the feasibility of investment in two models of implementing business analytics: custom development and packed analytical applications. The consequences of both models are shown on two models of business analytics implementation in Croatia
ROLE OF UML SEQUENCE DIAGRAM CONSTRUCTS IN OBJECT LIFECYCLE CONCEPT
When modeling systems and using UML concepts, a real system can be viewed in several ways. The RUP (Rational Unified Process) defines the "4 + 1 view": 1. Logical view (class diagram (CD), object diagram (OD), sequence diagram (SD), collaboration diagram (COD), state chart diagram (SCD), activity diagram (AD)), 2.Process view (use case diagram, CD, OD, SD, COD, SCD, AD), 3. Development view (package diagram, component diagram), 4. Physical view (deployment diagram), and 5. Use case view (use case diagram, OD, SD, COD, SCD, AD) which combines the four mentioned above. With sequence diagram constructs we are describing object behavior in scope of one use case and their interaction. Each object in system goes through a so called lifecycle (create, supplement object with data, use object, decommission object). The concept of the object lifecycle is used to understand and formalize the behavior of objects from creation to deletion. With help of sequence diagram concepts our paper will describe the way of interaction modeling between objects through lifeline of each of them, and their importance in software development
WEATHER FORECAST DATA SEMANTIC ANALYSIS IN F-LOGIC
This paper addresses the semantic analysis problem in a spoken dialog system developed for the domain of weather forecasts. The main goal of semantic analysis is to extract the meaning from the spoken utterances and to transform it into a domain database format. In this work a semantic database for the domain of weather forecasts is represented using the F-logic formalism. Semantic knowledge is captured through semantic categories a semantic dictionary using phrases and output templates. Procedures for semantic analysis of Croatian weather data combine parsing techniques for Croatian language and slot filling approach. Semantic analysis is conducted in three phases. In the first phase the main semantic category for the input utterance is determined. The lattices are used for hierarchical semantic relation representation and main category derivation. In the second phase semantic units are analyzed and knowledge slots in the database are filled. Since some slot values of input data are missing in the third phase, incomplete data is updated with missing values. All rules for semantic analysis are defined in the F-logic and implemented using the FLORA-2 system. The results of semantic analysis evaluation in terms of frame and slot error rates are presented