Patricia Mabel Pesado

Performance Evaluation of Knowledge Extraction Methods

This paper shows the precision, the recall and the F-measure for the knowledge extraction methods (under Open Information Extraction paradigm): ReVerb, OLLIE and ClausIE. For obtaining these three measures a subset of 55 newswires corpus was used. This subset was taken from the Reuters-21578 text categorization and test collection database. A handmade relation extraction was applied for each one of these newswires.

Intelligent Systems in Modeling Phase of Information Mining Development Process

The Information Mining Engineering (IME) understands in processes, methodologies, tasks and techniques used to: organize, control and manage the task of finding knowledge patterns in information bases. A relevant task is selecting the data mining algorithms to use, which it is left to the expertise of the information mining engineer, developing it in a non-structured way. In this paper we propose an Information Mining Project Development Process Model (D-MoProPEI) which provides an integrated view in the selection of Information Mining Processes Based on Intelligent Systems (IMPbIS) within the Modeling Phase of the proposed Process Model through a Systematic Deriving Methodology.

Multi-platform mobile application development analysis

Mobile devices have changed how we conceive software. There is a great range of development alternatives. In this paper, four different multi-platform development approaches (mobile web applications, hybrid, interpreted, and cross-compiled) are analyzed, and their most significant features through a case study are discussed.

Assistant for the Evaluation of Software Product Quality Characteristics Proposed by ISO/IEC 25010 Based on GQM-Defined Metrics

An assistant to evaluate the characteristics, proposed by ISO/IEC 25010, of a software product using GQM (Goal, Question, Metric) is presented. A set of questions was defined whose combined answers allow obtaining a logical metric applicable to the characteristics proposed by ISO/IEC 25010. For this work, the characteristic of Security was used as case study, the corresponding metrics were defined, and the results obtained when applying them to three case studies are presented.

Information Mining Projects Management Process

Information Mining (also known as Knowledge Discovery Process) is a growing discipline in continuous expansion. Most of the progress accomplished, are focus on the development activities (i.e. those technical activities associated with the comprehension and adaptation of data, and the implementation of data mining algorithm). According to this conceptual framework, several process models were developed, which allow organizing and defining the set of tasks related to the development of information mining projects. These approaches omit the set of tasks oriented to the management and control of the process. In this paper, we propose a transversal management process to the development process currently in use in information mining projects. The proposed process focuses on removing existing gaps, providing an improvement on the projects maturity and quality levels.

A simplified multiplatform communication framework for mobile applications

The need for sharing information among mobile devices exists in many applications, and almost every data exchange between these devices involve the same requirements: a means for discovering other mobile devices in a wireless network, establishing logical connections, communicating application data, and gathering information related to the physical connection. This paper presents a multiplatform open-source developer-oriented framework that acts as a support layer for host discovery, data communication among devices, and quality of service monitoring. Its purpose is to simplify the issues related to networking for mobile application developers. Currently, the framework is implemented for different platforms, such as Android, J2SE, and J2ME.

Evaluation of open information extraction methods using Reuters-21578 database

The following article shows the precision, the recall and the F1-measure for three knowledge extraction methods under Open Information Extraction paradigm. These methods are: ReVerb, OLLIE and ClausIE. For the calculation of these three measures, a representative sample of Reuters-21578 was used; 103 newswire texts were taken randomly from that database. A big discrepancy was observed, after analyzing the obtained results, between the expected and the observed precision for ClausIE. In order to save the observed gap in ClausIE precision, a simple improvement is proposed for the method. Although the correction improved the precision of Clausie, ReVerb turned out to be the most precise method; however ClausIE is the one with the better F1-measure.

Development frameworks for mobile devices: a comparative study about energy consumption

The development frameworks and the power efficiency in mobile devices have been studied separately. This paper deals with both topics together to determine how the selection of a development framework can impact on energy consumption of a mobile application. The focus is on applications with high processing load, audio and video playback. The results were analyzed and conclusions were reached.

Process Model Proposal for Requirements Engineering in Information Mining Projects

Information Mining Projects provide synthesis and analysis tools which allow the available data of an organization to be transformed into useful knowledge for the decision-making process. It is for this reason that requirements of this type of project are different from requirements of traditional projects for software development. Consequently, processes associated with requirements engineering for this type of project cannot be reused in Information Mining projects. Likewise, available methodologies for these last projects leave aside activities associated with the Requirements Management of stakeholders and customers. In this context, a model giving solution to the necessities of managing project Information Mining requirements is offered.

Performance Evaluation of a 3D Engine for Mobile Devices

Currently there are several frameworks for the development of 3D mobile applications, but all of them have a common issue: performance is a critical aspect to consider, even more relevant than in desktop computers, which generally have a greater computing power. The profiling or performance analysis tools that these frameworks have can help, to some extent, to determine the possible existence of bottlenecks in the execution of applications. However, this type of tool has certain limitations such as covering only a spectrum of the possible causes of the problem or limiting the analysis to certain scenarios in particular. This article proposes an evaluation and impact measurement of the key features related with performance on 3D mobile applications.