221 research outputs found
Preface to the special section on agent-oriented design methods and programming techniques for distributed computing in dynamic and complex environments
No full textVisually Enhanced Python Functions for Clinical Equality of Measurement Assessment
No full textEquivalence testing requires specific procedures usually provided by specialized statistical software. The proposed package includes customized methods to assess biomedical equivalence and focuses on translating the outcomes into visual reports. The functions are coded in an object-oriented framework, contain improved plots or novel graphs to facilitate interpretation of the results, and are accompanied by console textual outputs to support users with additional explanations. Special attention has been devoted to verifying the preliminary assumptions of the statistical tests with automatic routines. The current module covers four aspects of biomedical statistics (equivalence, Bland--Altman and ROC analyses, effect size, and confidence intervals interpretation), offering these methodologies to the biomedical community as accessible stand-alone functions. The manuscript defines software's functions and innovations with examples and theoretical explanations.@inproceedings{FedCSIS202232,
author={Mauro Nascimben and Lia Rimondini},
pages={241–249},
title={Visually Enhanced Python Functions for Clinical Equality of Measurement Assessment},
booktitle={Communication Papers of the 17th Conference on Computer Science and Intelligence Systems},
year={2022},
editor={Maria Ganzha and Leszek Maciaszek and Marcin Paprzycki and Dominik Ślęzak},
publisher={PTI},
doi={10.15439/2022F32},
url={http://dx.doi.org/10.15439/2022F32},
volume={32},
series={Annals of Computer Science and Information Systems}
Trade-off between complexity of structured tagging and effectiveness of Web service retrieval
No full textSearching for services often starts from the exploration ofthe service space. Community generated tags can support exploration of this space. Researchers attracted by the community-available “free manpower” proposed more complex tagging-based annotation models.Those models tag specific parts of the Web service definition: single operations, as well as inputs and outputs of those operations. However, there is no evidence whether effort spent on annotating complex structures is justified by the performance improvement of retrieval based on those annotations. In this paper we apply similarity-based search to find a trade-off between retrieval effectiveness of existing annotation modelsand the annotation effort
Utilizing recursive storage in sparse matrix-vector multiplication - preliminary considerations
No full textStructured Collaborative Tagging: Is It Practical for Web Service Discovery?
No full textOne of the key requirements for the success of Service Oriented Architecture is discoverability of Web services. However, public services suffer from the lack of metadata. Current methods to provide such metadata are impractical for the volume of services published on the Web: they are too expensive to be implemented by a service broker, and too difficult to be used for retrieval. We introduce structured collaborative tagging to address these issues. Here, user tags not only aspects relevant for her but also suggested ones (input, output and behavior). Cost, performance and usability of the proposed technique obtained during the Semantic Service Selection 2009 contest are reported. Obtained results suggests that there is no “free lunch.” While the method is user-friendly and supports effective retrieval, it still involves cost of attracting the community, and is practical only as complementary one. The analysis shows this is due to user’s autonomy as to what, when and how to tag
WSCOLAB: Structured collaborative tagging for Web service matchmaking
No full textA key driver for Service Oriented Architecture implementations is the hope to save development time and costs through a higher degree of reuse of readily deployed Web services. To achieve this goal, it is necessary to make services discoverable. Current approaches use authoritatively defined taxonomies to categorize services, which simply does not work for the flood of services being published on the Web in uncoordinated manner. Collaborative tagging claims to address this problem, because it is the process by which many users add metadata in the form of keywords to shared content (Golder and Huberman, 2006). However, it suffers from the lack of structure to describe Web service interfaces. We introduce structured collaborative tagging classification schema that can provide Web service descriptions for both categorization and interface matchmaking approaches. We report an experiment where 27 taggers have used our classification schema to annotate 50 Web services from Jena Geography Dataset. We also propose a single-request Web service matchmaking technique based on the proposed classification schema. The performance of the proposed technique has been confirmed by the first position awarded in the Cross-Evaluation track of the Semantic Service Selection 2009 contest against other matchmaking approaches. It shows that our classification schema is simple and powerful enough to be used by both tagging and querying end-users
LingURed: Language-Aware Editing Functions Based on NLP Resources
No full textIn this paper we compare the state of the art of language awareness in source code editors and word processors. Language awareness refers to functions operating on the elements and structures of a formal or natural language. Language-aware functions allow users to work with meaningful units, increasing efficiency and reducing errors. While all modern source code editors provide programmers with language-aware functions, similar functions for natural-language editing are almost nonexistent. Writers have to manipulate characters, which makes editing and revising challenging and results in typical errors. We describe the LingURed project, in which we implement language-aware editing functions for German with the goal of supporting experienced writers. Our approach is based on the combination of standard editor functionality and shallow localized natural language processing. Prototypical functions demonstrate the feasibility of the approach. Based on our preliminary experience we discuss requirements for NLP components suitable for use in interactive editing environments
Image scrambling on a "mesh-of-tori" architecture
No full textRecently, a novel method for image scrambling (and unscrambling) has been proposed. This method is based on a linear transformation involving the Kroneker-delta function. However, while quite interesting, the way it was introduced, leaves some open issues concerning its actual usability for information hiding. Therefore, in this paper, we extend the original proposal and show how it can be used to securely pass image-like information between the users
Comparison of Multi-Agent Platform Usability for Industrial-Grade Applications
No full textModern systems often employ decentralised and distributed approaches. This can be attributed, among others, to the increasing complexity of system processes, which go beyond the capabilities of singular components. Additionally, with the growth in demand for system automation and high-level coordination, solutions belonging to the decentralised Artificial Intelligence and collaborative decision-making are often applied. It can be observed that these concerns fall within the domain of multi-agent systems. However, even though MAS concepts emerged more than 40 years ago, despite their obvious advantages and continuous efforts of the scientific community, agents remain rarely used in industrial-grade applications. In this context, the goal of this contribution is to analyse the reasons for the lack of adoption of agent solutions in the real world. During the analysis, all pertinent aspects of the modern software development life cycle are examined and compared to what is currently available in the agent system domain. Specifically, the study focuses on identifying gaps that are often overlooked when it comes to scientific applications of MAS, but are critical in terms of potential for large-scale system development in practice
Implementing the Duty Trip Support Application
No full textWe are in the process of developing an agent and ontology-based Duty Trip Support application. The goal of this paper is to consider issues arising when implementing such a system. In addition to the description of our current implementation, which is also critically analyzed, other possible approaches are considered as well.software agents, agent systems, ontologies, transport objects, agent-non-agent integration.
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