1,721,040 research outputs found
An approach to Ontology Mapping based on the Lucene search engine library
No full textRecently ontology mapping has been identified as a key issue in semantic-based technologies. A mapping algorithm aims at finding correspondences, and matching, between URIrefs (classes, relationships, instances) of a source ontology and a target ontology by combining several matching components (matchers) each of which relies on one or more ontology features (linguistic, structural, etc.). In this paper we propose an approach to ontology mapping based on the Lucene search engine library. We exploit Lucene features to build an index from a source ontology in which Lucene documents, gathering different kinds of information (name, value, comment, label, etc.) about URIrefs, are stored. Therefore mappings are derived by using values of the URIrefs of the target ontology as search arguments against the index created from the source ontology. Experimental results show the suitability of this approach in terms of Precision, Recall, F-Measure and execution time, as compared to other four approaches. © 2007 IEEE
UFOme: A user friendly ontology mapping environment
No full textRecently the Ontology Mapping Problem (OMP) has been identified as a key factor towards the success of the Semantic Web and related applications. This problem arises since it is possible for different people to give, through ontologies, different conceptualizations of the same (or overlapping) knowledge domain. In order to tackle the OMP several algorithms have been designed. They aim at discovering correspondences (aka mappings) between ontology entities. However, these algorithms mostly suffer from the following shortcomings: (i) do not allow to quickly combine and/or compare different mapping strategies; (ii) do not offer support for evaluating mapping strategies in terms of quality of results and performance. In this paper we present a plugin-based system called UFOme along with its current implementation. We illustrate how it can be exploited to graphically design mapping tasks by connecting different types of modules. UFOme provides three categories of modules. The first one (i.e., visualization) allows to explore the ontologies to be mapped. The second one (i.e., matching) provides different types of individual matchers, exploited to discover mappings between ontologies, and a module for combining them. The third one (i.e., evaluation) enables to evaluate each module of the mapping task, a sub mapping task, or the mapping task in the whole w.r.t performance and quality of results
Advanced semantic search and retrieval in a collaborative peer-to-peer system
No full textSemantic search, one of the ideas underpinning the Semantic Web vision, is receiving attention from the scientific community since it can significantly improve keyword-based search. In this paper we present the SECCO ontology mapping algorithm that enables distributed semantic search of Knowledge Objects (e.g., textual documents, emails) within Peer to Peer networks. We discuss the ontological framework which SECCO is founded on and how the algorithm is implemented in a semantic Peer to Peer framework, named K-link+. The ontological framework along with the SECCO algorithm allow K-link+ to: (i) exploit ontologies for knowledge representation; (ii) annotate KOs to ontology concepts; (iii) retrieve and rank KOs; (iv) create collaborative communities of peers called semantic workspaces. Experimental results show the effectiveness of the proposed approach. Copyright 2008 ACM
K-link+: A P2P semantic virtual office for organizational knowledge management
No full textThis chapter introduces a distributed framework for OKM (Organizational Knowledge Management) which allows IKWs (Individual Knowledge Workers) to build virtual communities that manage and share knowledge within workspaces. The proposed framework, called K-link+, supports the emergent way of doing business of IKWs, which allows users to work at any time from everywhere, by exploiting the VO (Virtual Office) model. Moreover, since semantic aspects represent a key point in dealing with organizational knowledge, K-link+ is supported by an ontological framework composed of: (i) an UO (Upper Ontology), which defines a shared common background on organizational knowledge domains; (ii) a set of UO specializations, namely Workspace Ontologies or Personal Ontologies, that can be used to manage and search content; (iii) a set of COKE (Core Organizational Knowledge Entities) which provides a shared definition of human resources, technological resources, knowledge objects, services; and (iv) an annotation mechanism that allows users to create associations between ontology concepts and knowledge objects. K-link+ features a hybrid (partly centralized and partly distributed) protocol to guarantee the consistency of shared knowledge and a distributed voting mechanism to foster the evolution of ontologies on the basis of user needs. © 2009, IGI Global
A Hybrid Architecture for Content Consistency and Peer Synchronization in Cooperative P2P Environments
No full textPeer-to-Peer architectures for content and knowledge management foster the creation of communities of workers in which effective knowledge and information sharing takes place. In such communities, workers have similar capabilities in providing other workers with data and/or services and are autonomous in managing their own knowledge objects. Since objects are typically shared among a set of workers, problems regarding concurrent access to content, content consistency and synchronization of peers arise. This paper describes a hybrid architecture for the management of data consistency and peer synchronization. The designed framework combines centralized, yet dynamic, mechanisms for metadata management and peer-to-peer mechanisms for data transfer. The paper reports on the use of these mechanisms in K-link+ a P2P collaborative platform, developed at the GridLab of the University of Calabria, for distributed knowledge management. An analytical study founded on queue network theory confirms the efficiency of the presented approach
K-link: A peer-to-peer solution for organizational knowledge management
No full textIn the latest years knowledge management received more and more attention as a source of competitive advantage for enterprises and organizations, therefore becomes important to understand how computer science solutions should be designed to efficiently manage knowledge. Most of the current knowledge management systems use technological architectures that are in contradiction with the social processes concerning the creation of new knowledge, slowing down organizational innovation. Actually, most of those systems use centralized architectures filtering knowledge from any form of personal and contextual interpretation. Recently a new paradigm supporting cooperative and dynamic aspects of knowledge management (KM) has been proposed: Distributed Knowledge Management (DKM). In particular, peer to peer (P2P) architectures seem to naturally fulfil the requirements of this new model. Nevertheless, current P2P architectures suffer from heavy limitations due to the lack of semantic supports for handling knowledge. To overcome these limitations, the scientific community is appraising the possibility of using ontologies as a semantic support in KM processes. This paper presents an ontology based P2P system for DKM named K-link. The system design and its implementation are described. Moreover an ad hoc ontology framework for supporting organizational KM is also presented. © 2008 Springer-Verlag Berlin Heidelberg
Data consistency in a P2P knowledge management platform
No full textPeer-to-Peer (P2P) architectures for content and knowledge management enable autonomous peers to interoperate in a decentralized and distributed fashion for fulfilling individual and/or common goals. These architectures foster the creation of communities of Individual Knowledge Workers (IKWs) in which effective knowledge and information sharing takes place. In such communities, IKWs have similar capabilities in providing other IKWs with data and/or services and are autonomous in managing their own knowledge objects. Since such objects are typically shared among a set of IKWs, problems regarding concurrent access to content, content consistency and synchronization arise. This paper proposes a decentralized approach to the aforementioned issues and reports on its application and performance evaluation in the K-link+ system. K-link+ is a P2P collaborative platform, developed at the GridLab of the University of Calabria, for distributed knowledge management based on the Virtual Office model
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