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Semantic similarity measures aim at computing a value that represents to what extent two semantic resources are similar. This paper proposes an extension of a semantic similarity measure for large linked data sources such as DBPedia. In order to evaluate and compare similarity measures, an experiment is described to collect human evaluations of the similarity between pairs of movies. A correlation...
Medical ontologies are valuable and effective methods of representing medical knowledge. In this direction, they are much stronger than biomedical vocabularies. In the process of medical diagnosis, each disease has several symptoms associated with it. There are currently no ontologies that relate diseases and symptoms and only attempts at their infancy along with some simple proposed models. However,...
Ontology has become a very vital issue to solve important issues regarding human diseases through data integration of chemical and biological data. Mining such data discovers highly important knowledge about diseases can give an important insight to arrive to new drug targets and assist in personalized medicine. In the current paper, a mining technique for diseases is developed based on integrated...
The paper presents a very general technique to represent human needs and offers along with a technology to find optimal matches. Moreover, the system is able to learn from its use by collecting user feedback and changing its parameters accordingly. This way, the system adjusts itself to the human expectations and desires and even follows the trend of these desires and expectations.
Nowadays, activity recognition has been proposed in several researches. It is attractive to improve the ability of the activity recognition system because existing research on activity recognition systems still have an error in an ambiguous cases. In this paper, we introduce the novel technique to improve the activity recognition system in smart home domain. We propose the three contributions in this...
This paper reports the results of the ARISTOTELE methodology for decision support on Human Resource Management and, in particular, of one of the most important tool of the methodology, i.e. the Relevance Analysis. The Relevance Analysis is devoted at providing a systemic way to map human resources on the basis of their relevance in an organization, and take informed decisions. We have defined a model...
The Internet has created a universal medium wherein peoples of the world engage in dialogue and participate in a myriad of activities, despite the medium lacking universally enforceable rules of conduct. This absence, or perceived weakness, of Governance in and of the Internet, has aided the creation of a sphere of existence wherein issues such as censorship, violation of the end-to-end principle,...
Evaluating Semantic similarity has a widely application areas range from Psychology, Linguistics, Cognitive Science to Artificial Intelligence. This paper proposes the merely use of HowNet to evaluate Information Content (IC) as the semantic similarity of two terms or word senses. While the conventional ways of measuring the IC of word senses must depend on both an ontology like WordNet and a large...
This paper describes a framework for perception creation from sensor data. We propose using data abstraction techniques, in particular Symbolic Aggregate Approximation (SAX), to analyse and create patterns from sensor data. The created patterns are then linked to semantic descriptions that define thematic, spatial and temporal features, providing highly granular abstract representation of the raw...
Thus far, lifestyle advisory system has become increasingly popular in both developing and developed countries. Among other essential features, personalisation is considered a defining factor that differentiates a system from apparently similar ones. Aiming to assist human health advisors and encourage individual's self-management, HOMEVMI supports personalisation through dynamic and context-aware...
In this article, we present the architectural and algorithmic details for a COgnitive System Architecture that uses a Centralized Ontology with Specific Algorithms (COSA2). COSA2 is a layered intelligent agent framework on the basis of the modified Rasmussen model of human performance. It encompasses integrated algorithmic support for goal-oriented situation interpretation, dynamic planning and plan...
Our premise is that an intelligent system should be able to structure all the information that can be obtained from natural language text, and it should do it in such a manner that the structured information be useful for further processing. This paper presents an experiment in structuring information from the natural language incomplete descriptions of 101 animals collected from a children's dictionary...
One of the most important tasks in Human resource management is to find a suitable human for the given position. It is a difficult task because for human beings what they can do well is not always what they want to do and even if they have capability of fulfilling the requested task, the relationship among the team members can prevent them from being the good worker in the given position. Therefore,...
The main article focus is leveraging power of human-oriented modelling paradigms such as UML and concept maps frameworks for creating upper levels of crisis management ontology. Domain experts, which are involved in ontology creation process, usually are not comfortable with direct ontology creation. From the other side, ontology engineers may not know modelled domain as deeply as experts. Utilization...
Researchers wishing to analyze Technology Enhanced Learning (TEL) situations usually collect interaction traces produced by TEL environments. This paper addresses the issue of sharing, between researchers using TEL environments, of contextualized interaction trace corpora and analysis tools of these corpora. We present a new ontology-based approach called the "proxy approach" to address...
In this paper we propose a trust-enhancement of access control to protect both integrity and confidentiality based on trustworthiness of users performing operations and documents' content analysis. We propose to utilize trustworthiness opinions from subjective logic and express levels of integrity as levels of trustworthiness. We assign confidentiality levels based on contents of documents and use...
Balance is very important in all areas from art down to the details of our daily life. There is no exception in research work especially when we want to develop an application which will be used in the real world. Currently more and more semantic Web applications are emerging. Although there are some researches on the evaluation and benchmarking of semantic Web applications, they mainly focused on...
As Web, Web2.0 and semantic channels are constantly growing we are facing new challenge in on-line communication. This paper present a new methodology based on distinguishing and explicitly interweaving content and communication as a central means for achieving content reusability, and thereby scalability over various heterogeneous channels. Our approach enables smaller organizations to perform effective...
The automatic matching of entities between information repositories is essential for aligning and ontology mediation processes, but there is great ambiguity when adopting it. Data integration between repositories demands great quality of ontology alignments, and as such ambiguous correspondences must be identified and corrected beforehand. Debugging is even more relevant if the process is systematic...
The current approaches aiming at collective intelligence modelling often rely on traditional methods (ontologies, graphs). Even if those traditional methods may have reached their limitations in front of demanding emerging practices, the major conceptual tools enrolled for current and future Web are deeply rooted in the information storage and retrieval practices. The focus is on developing more original...
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