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Gene-phenotype association prediction can be applied to reveal the inherited basis of human diseases and help drug development. Gene-phenotype associations are related to complex biological process and influenced by various factors, such as relationship between phenotypes and that among genes. While due to sparseness of curated gene-phenotype associations, existing approaches are limited to prediction...
Cognitive agents are typically utilized in autonomous systems for automated decision making. These systems interact at real time with their environment and are generally heavily power constrained. Thus, there is a strong need for a real time agent running on a low power platform. This paper examines how some of the components of a cognitive agent can be mapped onto lookup tables stored in memristor...
With AI celebrating its 60th anniversary, questions arise of when (not even if) a computational system will be able to understand humor. These questions open up interesting opportunities, but point out areas of research that yet are insufficient for informal human computer communication. This paper looks at computational humor as a way of verifying computational understanding of text (written or verbal)...
At the 2014 AAAI, Pat Langley, one of the founders of machine learning and, recently, of its detractors, publicly lamented the current abandonment of the "big issues" in AI. Indeed, from emulating human intelligence in the process of learning more about it, AI is often confused with non-intelligent emulation of human intelligent activities. Both in the States and Europe, cognitive computing...
In many web applications, users query a place name, a photo name, and other entity names using search words that include alternate spellings, abbreviations, and variants that are similar, but not identical to the title associated with the desired entity. Given two titles, an effective similarity measure should be able to determine whether the titles represent the same entity or not. In this paper,...
Clinical Decision Support Systems (CDS) are built to make biomedical literature efficiently accessible to clinicians. The typical queries submitted to these systems are medical cases which describe various aspects of a patient health including symptoms, lab tests, and previous treatments. Because these queries are expected to be long and may contain some ambiguous words, performing some reformulation...
The dream of the world as a global village is gradually fulfilling with technology playing a magnificent role. Technologies such as Semantic Web and ontologies have contributed immensely to the realization of this dream — the world as a global village. However, the dream is yet to be fully realized as complexities keep unfolding even in such areas and instances where successes have been recorded....
The orientation is occupying an increasingly important role in the process of determining the future of the students, which leads to the obligation to make it automatic and accessible, both in terms of immediate accessibility throughout the world or in the offering of several languages that correspond to the language used by the majority of students or persons in need of guidance. These problems can...
this paper aims to present a students' clustering method based on their backward knowledge of a specific domain. The categorization process uses the tracking information of students' answers in multiple choice questions (MCQ). We used an enhanced MCQ representation in which all the choice items (right or wrong) are linked to an existing conceptual map. We track the students' answers and propose a...
In this paper, we present a generic model to enrich user profiles by means of contextual and temporal information. This reflecting the current interests of these users in every period of time defined by a search session, and infers data freshness. We argue that the annotation of resources gives more transparency on users' needs. Based on this idea, we integrate social tagging in order to exploit part...
People have access to more data in single day than most people that have access to data in the previous decade. This data is created in many forms and it highlights the development of Big Data. Big Data in organizations have transformed the way organizations across industries implement new approach to handle huge amount of data. Organizations rely to this data to achieve specific business priorities...
The Semantic Web is a compilation of various technologies designed to work together. Research on Semantic Web proposes to advance individual web services or technologies to integrate them to promote rapid development of semantic web services as flexible changes are occurring. Diverse methods are considered in order to construct systematic composition of services. The intent of paper is to differentiate...
Intrusion Detection Systems is one of the most useful tools which are used nowadays to identify the attacks happening on the network. But the high false positive and false negative rates are major limitations in Intrusion detection System. To overcome these limitations new techniques should be introduced. In our research we used Ontology in Intrusion Detection System. As Ontology describes the semantic...
This paper describes an early step in approaching implicit meaning computationally. It outlines various types of implicit meanings and then presents a method of finding the so called defaults - omissions that are universally reconstructable and, of course, interpretible without much additional reasoning. The defaults are analyzed on the example of the 1000 instances of TerminateLife events, and a...
The evolution of the Internet and the number of users require the establishment of more sophisticated and efficient systems that must keep track of the entourage. This development requires the establishment of fast and sharp and specialized IRS, to answer a very specific need. In response, these systems carry out several steps, including the enrichment or reformulation of queries. The enrichment of...
In this work, we propose to use the SSN ontology to manage the sensor information in an intelligent transportation architecture. The system performs the automatic traffic light settings allowing to predict and avoid traffic accidents and the routing optimization.
The paper describes building systems for computational linguistics based on an approach to the image text comprehension. There had been suggested a set theoretical formalization for such type of systems using the fuzzy sense relationship. The possibilities of conceptual approach had been demonstrated on the solution examples of such tasks as searching for reference words, building lexical ontology...
The meat of the paper is a small innovation in Ontological Semantic Technology describing how to calculate weights in text meaning representations. It is reset here as a component of a complex and apparently unprecedented global logic of natural language, a topic that was abortively entertained in the 1960–70s and since then mostly abandoned.
The operationalization of learning scenarios on learning management systems (LMS) is more than a technology-related question. Different research issues around instructional design are to be addressed in order to provide pedagogical expressiveness of the different elements within a learning scenario, while it respects sufficiently the structure to describe it. In this work, we examine existing pattern-based...
Geovideo is a sort of video data with spatial reference, an organism composed of video data and geographic space. It covers different kinds of information, such like images, sounds, positions and space-time information, which are all in the united georeferenced. This kind of video data can be obtained from monitoring system and other video with georeference. Obviously, Geovideo is applicable to public...
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