Semantic web reasoners and languages

Mishra, R. B.; Kumar, Sandeep

doi:10.1007/s10462-010-9197-3

Cited by 53 publications

(35 citation statements)

References 35 publications

(40 reference statements)

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“…As the semantic annotation and enrichment of moving objects and their trajectories is performed in a semantic way, the use of ontologies definitely can play a key role, as well as semantic web standards (e.g., RDFS, OWL) and related technologies, such as reasoners (Dentler, Cornet, ten Teije, & de Keizer, 2011;Mishra & Kumar, 2011). Services that a moving object can access, or can find interesting at a certain moment, depend on the continuously changing context, i.e., a contextual trajectory; the relevant services may change or behave differently according to the changes in the context.…”

Section: Semantic Representation Of Moving Objectsmentioning

confidence: 99%

“…It performs semantics injection to mobility data managed and stored at the mobile user device according to semantic concepts and ontologies defined for specific domains. Based on the semantic representation of mobility data, this layer provides storage, query processing, reasoning, and analysis functionalities over the semantic representation of moving objects based on semantic techniques such as ontologies (Ding et al, 2007;Gruber, 1993;Horrocks, 2008;Uschold & Gruninger, 2004) and reasoners (Dentler et al, 2011;Mishra & Kumar, 2011) while employing privacy-preserving mechanisms. This layer may benefit from access to a Semantic Management of Big Mobility Data and Trajectories layer provided by existing servers.…”

Section: Framework Designmentioning

confidence: 99%

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Semantic management of moving objects: A vision towards smart mobility

Ilarri

Stojanović

Ray

2015

Expert Systems with Applications

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. b s t r a c tThis position paper presents our vision for the semantic management of moving objects. We argue that exploiting semantic techniques in mobility data management can bring valuable benefits to many domains characterized by the mobility of users and moving objects in general, such as traffic management, urban dynamics analysis, ambient assisted living, emergency management, m-health, etc. We present the state-of-the-art in the domain of management of semantic locations and trajectories, and outline research challenges that need to be investigated to enable a full-fledged and intelligent semantic management of moving objects and location-based services that support smarter mobility. We propose a distributed framework for the semantic enrichment and management of mobility data and analyze the potential deployment and exploitation of such a framework.

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Section: Semantic Representation Of Moving Objectsmentioning

confidence: 99%

Section: Framework Designmentioning

confidence: 99%

Semantic management of moving objects: A vision towards smart mobility

Ilarri

Stojanović

Ray

2015

Expert Systems with Applications

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“…There are many other existing semantic reasoners like OWLIM [38], [39], FaCT++ [40], KAON [41], Racer [42] or more recently HermiT [43] to cite just some of them. In the literature there is a huge scientific production devoted to semantic reasoners benchmarking, being the work of Mishra & Kumar [44] one of the newest and more complete reviews.…”

Section: System Corementioning

confidence: 99%

SeDeLo: Using Semantics and Description Logics to Support Aided Clinical Diagnosis

et al. 2011

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Automated medical diagnosis systems based on knowledge-oriented descriptions have gained momentum with the emergence of semantic descriptions. The objective of this paper is to propose a normalized design that solves some of the problems which have been detected by authors in previous tools. The authors bring together two different technologies to develop a new clinical decision support system: description logics aimed at developing inference systems to improve decision support for the prevention, treatment and management of illness and semantic technologies. Because of its new design, the system is capable of obtaining improved diagnostics compared with previous efforts. However, this evaluation is more focused in the computational performance, giving as result that description logics is a good solution with small data sets. In this paper, we provide a well-structured ontology for automated diagnosis in the medical field and a three-fold formalization based on Description Logics with the use of Semantic Web technologies.

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“…Quite a number of papers, particularly [19], highlight the importance of time in the semantic web by fully expressing most temporal concepts [2], [6], [17][18][19], [24][25], [31], [34], [35], [42]. Based on these papers, it is clear that a gap exists in describing temporal query languages.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Time Concept Modeling for Querying Temporal Information in OWL and RDF

Bahadorani¹,

Zaeri²

2017

IJITCS

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Abstract-Ontology is an important factor in the integration of heterogeneous semantic information. Description logic, as a formal language for expressing ontologies, does not include the necessary features to create a temporal dimension in the relationships among concepts. It is critical to introduce time concepts to model temporal data and relate them to other non-temporal data recorded in ontology. Current query languages in the semantic web are not able to respond to temporal questions; thus, another important issue is to have the appropriate methods for answering temporal questions. In this paper, temporal modeling methods in OWL and RDF are assessed and the temporal query languages for expressing queries in the semantic web are categorized and compared.Index Terms-Ontology, temporal model, description logic, temporal query language.

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Semantic web reasoners and languages

Cited by 53 publications

References 35 publications

Semantic management of moving objects: A vision towards smart mobility

Semantic management of moving objects: A vision towards smart mobility

SeDeLo: Using Semantics and Description Logics to Support Aided Clinical Diagnosis

Comparison of Time Concept Modeling for Querying Temporal Information in OWL and RDF

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