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This system proposes Indian-logic ontology based Context-aware Query Refinement model to support context-sensitive semantic search in keyword based search engine. This is by formulating effective query using Indian logic based Ontology for Context identification to overcome ambiguous query terms and increase the relevancy of documents retrieved. Here we propose Indian-Logic based Context Ontology...
Ontologies are often used in changing environments and therefore cannot be considered as a finite and stable conceptualization of a domain of knowledge. The management of ontology evolution requires monitoring and consideration of two important and complementary aspects: (1) the history of evolution to ensure traceability of changes and (2) the conformity of ontology in relation to their original...
The problem of versioning is present in several application areas, such as temporal databases, real-time computing and ontologies. This problem is generally defined as managing changes in a timely manner without loss of existing data. However, ontology versioning is more complicated than versioning in database because of the usage and content of ontology which incorporates semantic aspects. Consequently,...
Today, databases provide the best technique for storing and retrieving data, but they suffer from the absence of a semantic perspective, which is needed to reach global goals such as the semantic web and data integration. Using ontologies will solve this problem by enriching databases semantically. Since building an ontology from scratch is a very complicated task, we propose an automatic transformation...
In this paper, we investigate how ontologies developed for use in Semantic Web technology could be used in checking the consistency of requirements specifications. Our approach's main idea and original contribution is that we use reasoning which is a part of ontology. In the first step, we transform the static part of the UML model and its constraints into a problem ontology and try to discover contradictions...
In any scientific domain, the full set of data and programs has reached an -ome status, i.e. it has grown massively. In this scenario, we propose Resourceome, a Web-based and semantic Knowledge Management System which extends a previous multilevel ontology-based knowledge manager for the bioinformatic domain as follows: (i) enriching the knowledge model in such a way to describe resource knowledge...
Our goal is to enhance on-site personalized access and recommendations for cultural heritage. We have designed and implemented the SMARTMUSEUM platform using adaptive and privacy preserving user profiling. The described recommendation system relies on combining a semantics/ontologies based approach with a data mining/statistics based approach. The paper presents the architecture and main methods of...
In this paper we present an algorithm that, using Wikipedia as a reference, extracts semantic information from an arbitrary text. Our algorithm refines a procedure proposed by others, which mines all the text contained in the whole Wikipedia. Our refinement, based on a clustering approach, exploits the semantic information contained in certain types of Wikipedia hyperlinks, and also introduces an...
Clustered graph visualization techniques are an easy to understand way of hiding complex parts of a visualized graph when they are not needed by the user. When visualizing RDF, there are several situations where such clusters are defined in a very natural way. Using this techniques, we can give the user optional access to some detailed information without unnecessarily occupying space in the basic...
The onset of the Semantic Web has brought many innovations for enabling assisted interactions on the World Wide Web through document annotation. Many efforts have emerged throughout the past years, including RDF, OWL,OWL-S and WSMO, all seeking to improve the current web from a static one into a more dynamic one. Semantic Web Services are an effective way to facilitate the discovery,selection and...
We investigated age-related changes in the semantic distance between successively generated words in two letter fluency tasks differing with respect to demands placed on executive control. The semantic distance was measured by Latent Semantic Analysis (LSA). The results show that older people have a larger semantic distance between successively generated items than young people, and that this effect...
This article explores two matrix methods to induce the ldquoshades of meaningrdquo (SoM) of a word. A matrix representation of a word is computed from a corpus of traces based on the given word. Non-negative Matrix Factorisation (NMF) and Singular Value Decomposition (SVD) compute a set of vectors corresponding to a potential shade of meaning. The two methods were evaluated based on loss of conditional...
Natural language processing systems are increasingly using ontologies and other large-scale semantic resources to support Verb Sense Disambiguation (VSD) and other applications. One of the ways in which these resources can be used is to identify the selectional restrictions on verb arguments needed for sense distinction. However, manually navigating such resources can be difficult and inefficient...
In this paper, we consider the problem of managing multiple temporal versions of an ontology. For example, in the legal and e-Government domains, temporal versions of an ontology are a natural consequence of the dynamics involved in normative systems. To this purpose, we introduce ldquoThe Valid Ontologyrdquo approach, by adapting to OWL-encoded ontologies a versioning scheme we proposed in the past...
In order to obtain the desired information or functionality in the Web, a user often needs to perform multiple interactions with the Web site, e.g. submitting Web forms filled up with appropriate information, and the further execution of such a Web process depends on the information provided by the user in the previous steps of the process. The formal models underlying existing systems for supporting...
Access to relevant information adapted to the needs and context of the user is a main challenge in the Internet world. Recent studies have dynamically enhanced the user query with the related user's preferences, which are stored in user's profile for providing personalized results; however, not all user preferences are relevant in all situations. As far as we know, these studies don't take into account...
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