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We live in a world increasingly digital where intelligent and communicating objects evolve and interact. These objects have their own missions and goals. However, in a more and more complex environment, mechanisms of communication and information exchange protocols need to be more efficient, fast and smart. The collaborative approach seems to be the most suitable to facilitate interaction between...
In many applications domains, time modeling has a fundamental role. Allen temporal relations are one of the most used and known formalisms for modeling and handling temporal data. However, classical Allen relations deal only with crisp time information, but time is often subjective and fuzzy. This paper discusses a disjunctive view of temporal relations between fuzzy time intervals. This approach...
A fuzzy extension of the classical functional dependency is shown which associates a degree not only to the attributes but also to the functional dependency, providing the maximum level of uncertainty in tables. For this proposal the kernel is the use of Simplification Logic for these fuzzy functional dependencies, which ensures a solid and efficient approach to manage them in the fuzzy extension...
This paper investigates a number of verification rules to validate the segmentation of connected handwritten digits. The verification technique based on statistical reasoning and fuzzy integrals is employed to verify the segmentation through decision functions produced by multiclass SVM based recognizers. The segmentation relies on an oriented sliding window which identifies potential cut points....
Thesaurus is a crucial resource for many natural language processing and artificial intelligence problems, which require common sense reasoning. It is becoming highly topical to put special effort to ensure the high quality of synsets when a thesaurus is created collaboratively by non-expert annotators. This paper proposes Add-Remove-Confirm, a novel workflow for crowdsourcing synset cleansing. The...
Constraints in access control models are used to organize access privileges in order to avoid fraudulent situations. Ensuring that the constraints are satisfied during the evolution of the system is an important issue. Thus, there is a need to have a formal reasoning language in order to express the constraints policy and to prove that the constraints are always satisfied. In this work, we propose...
The capability of interpreting the conceptual and affective information associated with natural language through different modalities is a key issue for the enhancement of human-agent interaction. The proposed methodology, termed sentic blending, enables the continuous interpretation of semantics and sentics (i.e., the conceptual and affective information associated with natural language) based on...
In this paper, we propose an auto-decision system KMCD, which helps remote students choose their majors. The system is based on knowledge of students who want to choose majors and students who have finished their studies. KMCD is a first-order reasoning system equipped with an uncertain reasoning function. A description of KMCD is given in details. The whole decision procedure is comprehensively discussed,...
Because of ignoring the semantic information inside the keywords, the traditional searching engine based on the key words has low recall and precision. Aiming at this, some semantic retrieval system design ideas and the retrieval process are proposed in this paper.The key technologies-related in semantic retrieval model are analyzed and studied. By using field ontology, semantic research procedure...
A facial classification scheme which combines blackboard system and agent structure together is proposed to make up for the existing facial expression recognition systemspsila (FER) shortcomings, by which the designed FER has intelligent ability such as self-learning and self-definition abilities. This intelligent system consists of rule knowledge database and case knowledge database to improve its...
In this paper we present the anti-spam case-based reasoning system ACABARASE. Our system works by using the classical strategy behind CBR systems: To solve problems based on the solutions to previously solved similar problems. ACABARASE works under both English and Spanish languages, what slightly complicated its development. In addition to present our system, we show experimental results regarding...
Statistical graphs are ubiquitous mechanisms for data visualization such that most, if not all, enterprises communicate information through them. However, many graphs are stored as unstructured images or proprietary binary objects, making them difficult to work with beyond the reports in which they are embedded. While graphs can be mapped to more common XML representations, these lack expressive semantics...
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