Managing contextual information in semantically-driven temporal information systems

Context-aware (CA) systems have demonstrated the provision of a robust solution for personalized information delivery in the current content-rich and dynamic information age we live in. They allow software agents to autonomously interact with users by modeling the user’s environment (e.g. profile, location, relevant public information etc.) as dynamically-evolving and interoperable contexts. There is a flurry of research activities in a wide spectrum at context-aware research areas such as managing the user’s profile, context acquisition from external environments, context storage, context representation and interpretation, context service delivery and matching of context attributes to users‘ queries etc. We propose SDCAS, a Semantic-Driven Context Aware System that facilitates public services recommendation to users at temporal location. This paper focuses on information management and service recommendation using semantic technologies, taking into account the challenges of relationship complexity in temporal and contextual information

Towards a Semantic-based Approach for Modeling Regulatory Documents in Building Industry

Regulations in the Building Industry are becoming increasingly complex and involve more than one technical area. They cover products, components and project implementation. They also play an important role to ensure the quality of a building, and to minimize its environmental impact. In this paper, we are particularly interested in the modeling of the regulatory constraints derived from the Technical Guides issued by CSTB and used to validate Technical Assessments. We first describe our approach for modeling regulatory constraints in the SBVR language, and formalizing them in the SPARQL language. Second, we describe how we model the processes of compliance checking described in the CSTB Technical Guides. Third, we show how we implement these processes to assist industrials in drafting Technical Documents in order to acquire a Technical Assessment; a compliance report is automatically generated to explain the compliance or noncompliance of this Technical Documents

Time in the ontology of Cornelius Castoriadis

We can locate the problematic of time within three philosophical questions, which respectively designate three central areas of philosophical reflection and contemplation. These are: 1) The ontological question, i.e. 'what is being?' 2) The epistemological question, i.e. 'what can we know with certainty?' 3) The existential question, i.e. 'what is the meaning of existence?' These three questions, which are philosophical, but also scientific and political, as they underline the political and moral question of truth and justice, arise from the phenomenon of time, the irreversible constant flow of phenomena that undermines every claim to absolute knowledge. The purpose of this essay is to illuminate the importance of time for philosophical thought and, more generally, for human social and psychical life, in the context of the ontology of Cornelius Castoriadis. Castoriadis, who asserted that " being is time – and not in the horizon of time " , correlated history to society and being to temporality within the social-historical stratum, the ontological plane created by human existence, where " existence is signification ". Time is interpreted as the creation and destruction of forms in a magmatic, layered with a non-regular stratification, reality, where the social-historical manifests as the creation of collective human activity, in the manner of social imaginary significations. This notion of temporality is accompanied by a profound criticism of traditional rationalistic philosophy, to which Castoriadis assigns the name 'ensemblistic/identitary', that highlights the necessity of a new, magmatic ontology, based on the primacy of time

Онтології у контексті інтеграції інформації: представлення, методи та інструменти побудови

У даному огляді розглядається використання онтологій для підтримки задач інтеграції в семантично гетерогенних інформаційних системах. Представлені основні поняття та визначення онтологій, причини та приклади побудови. Розглядаються моделі і мови для представлення онтологій та використання відображень між ними. Досліджуються методи й інструментальні засоби для інженерії онтологій і підтримки інтеграції інформації. Також наводяться приклади візуалізації, побудови та злиття двох онтологій за допомогою сучасних інструментів

Machine Learning-Based Ontology Mapping Tool to Enable Interoperability in Coastal Sensor Networks

In today’s world, ontologies are being widely used for data integration tasks and solving information heterogeneity problems on the web because of their capability in providing explicit meaning to the information. The growing need to resolve the heterogeneities between different information systems within a domain of interest has led to the rapid development of individual ontologies by different organizations. These ontologies designed for a particular task could be a unique representation of their project needs. Thus, integrating distributed and heterogeneous ontologies by finding semantic correspondences between their concepts has become the key point to achieve interoperability among different representations. In this thesis, an advanced instance-based ontology matching algorithm has been proposed to enable data integration tasks in ocean sensor networks, whose data are highly heterogeneous in syntax, structure, and semantics. This provides a solution to the ontology mapping problem in such systems based on machine-learning methods and string-based methods

Gap analysis of ontology mapping tools and techniques

Mapping between ontologies provides a way to overcome any dissimilarities in the terminologies used in two ontologies. Some tools and techniques to map ontologies are available with some semi-automatic mapping capabilities. These tools are employed to join the similar concepts in two ontologies and overcome the possible mismatches.Several types of mismatches have been identified by researchers and certain overlaps can easily be seen in their description. Analysis of the mapping tools and techniques through a mismatches framework reveals that most of the tools and techniques just target the explication side of the concepts in ontologies and a very few of them opt for the conceptualization mismatches. Research therefore needs to be done in the area of detecting and overcoming conceptualization mismatches that may occur during the process of mapping. The automation and reliability of these tools are important because they directly affect the interoperatbility between different knowledge sources

Ontology mapping by concept similarity

This paper presents an approach to the problem of mapping ontologies. The motivation for the research stems from the Diogene Project which is developing a web training environment for ICT professionals. The system includes high quality training material from registered content providers, and free web material will also be made available through the project's "Web Discovery" component. This involves using web search engines to locate relevant material, and mapping the ontology at the core of the Diogene system to other ontologies that exist on the Semantic Web. The project's approach to ontology mapping is presented, and an evaluation of this method is described

Brief questions on the philosophical foundation of computer ontologies

The paper addresses the role of philosophical ontology as the foundation of computer ontology, which is at the basis of computer language. In particular, the topic of web semantics is addressed to highlight the ever-present risk of evolution in a form of partial reductionism, which relativizes the factual reality according to the conceptual scheme that one wants to use/impose