A Semantic-Based Approach for Data Management in a P2P System

Souza, Damires; Pires, Carlos Eduardo Santos; Kedad, Zoubida; Tedesco, Patrícia; Salgado, Ana Carolina

doi:10.1007/978-3-642-23074-5_3

Cited by 8 publications

(8 citation statements)

References 25 publications

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“…By semantic information, we mean any information that helps to assign meaning to elements that need to be interpreted in a given situation [9]. Semantic information is usually provided by terminology vocabularies or domain ontologies and may be used to help overcoming problems as data heterogeneity [9]. In this work, semantic information provided by a particular knowledge domain is important to assist data set conversion processes.…”

Section: Using Semantic Information From a Knowledge Domainmentioning

confidence: 99%

“…In these settings, semantic information has been used as a means to enhance some processes such as schema matching. By semantic information, we mean any information that helps to assign meaning to elements that need to be interpreted in a given situation [9]. Semantic information is usually provided by terminology vocabularies or domain ontologies and may be used to help overcoming problems as data heterogeneity [9].…”

Section: Using Semantic Information From a Knowledge Domainmentioning

confidence: 99%

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A Domain-based Approach to Publish Data on the Web

Silva

Chaves

Souza

2013

Proceedings of International Conference on Information Integration and Web-Based Applications &Amp; Services

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The Linked Data project defines a set of practices for publishing structured data on the Web. In order to apply the recommended practices and achieve this Web of Data vision, existing data provided in diverse formats should be converted to a standard model. Since these data are in nature heterogeneous, it is usually unfeasible to convert them without considering the knowledge domain in which they exist. In this light, we propose an approach, named SenseRDF, which makes use of a domain reference, made available by vocabularies and domain ontologies, to provide the semantics during the conversion of a dataset from one format to a standard RDF model. Also, we adopt a semi-automated technique, where a domain expert is required to assist the conversion process, which is incrementally enriched. We present the principles underlying our approach, some usage examples and the obtained experimental results.

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Section: Using Semantic Information From a Knowledge Domainmentioning

confidence: 99%

Section: Using Semantic Information From a Knowledge Domainmentioning

confidence: 99%

A Domain-based Approach to Publish Data on the Web

Silva

Chaves

Souza

2013

Proceedings of International Conference on Information Integration and Web-Based Applications &Amp; Services

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“…Changes of ontologies may also be a problem in PARIS, a semantic overlay network architecture with an hybrid topology [8] where peers using identical ontologies form a local group, some of them participating to a distributed hash table to maintain a connection between the different groups. Some works focus on computing an ontology summary for each overlay (cluster ontology) [26]. Their peers clustering is mainly incremental as each incoming peer searches for the closest cluster.…”

Section: Related Workmentioning

confidence: 99%

An approach to manage semantic heterogeneity in unstructured P2P information retrieval systems

Cerqueus

Cazalens

Lamarre

2012

2012 IEEE 12th International Conference on Peer-to-Peer Computing (P2P)

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In unstructured information retrieval P2P systems, semantic heterogeneity comes from the use of different ontologies. Semantic interoperability refers to the ability of peers to communicate with each others. We take into account these notions separately, as raising two different problems. Hence we propose two independent and complementary solutions. The GoOD-TA protocol aims at reducing heterogeneity through ontology-driven topology adaptation. DiQuESh is a top-k algorithm for distributed information retrieval that is intended to ensure interoperability. This distinction enables highlighting their respective benefits on the IR performances and leads to a modular architecture. For our experiments we obtained a set of actively used real-world ontologies through the NCBO BioPortal. We implemented GoOD-TA and DiQuESH in Java and used the PeerSim simulator. We first show that GoOD-TA nicely reduces the semantic heterogeneity related to the system topology, handles the evolution of peers' descriptors, and is suitable for dynamic systems. Then, GoOD-TA and DiQuESh are run simultaneously, with a significant increase of precision and recall. This enables to identify the indirect contribution of heterogeneity reduction obtained with GoOD-TA to improving interoperability.

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“…Peer-to-peer (P2P) systems have become popular due mainly to scalability, self-configuration and autonomy features (Sassatelli et al, 2009;Sung et al, 2005). Peer data management systems (PDMS) came into the focus of research as a natural extension to data integration systems in the P2P setting (Souza et al, 2011;Mandreoli et al, 2009;Halevy et al, 2003). In this sense, PDMSs are P2P applications where each peer represents an autonomous data source which exports either its entire data schema or only a portion of it.…”

Section: Introductionmentioning

confidence: 99%

Semantic measures as information quality criteria for query routing processes

Freire

Souza

Salgado

et al. 2013

IJBIDM

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Query answering has been addressed as a key issue in distributed environments such as peer data management systems (PDMS). An important step in this process regards query routing, i.e., how to find peers (data sources) that are most likely to provide results according to the submitted query. In this process, queries are reformulated and propagated through network peers using the semantic mappings between neighbour peers' schemas. The successive processes of query reformulation may result in a semantic loss of the original query, i.e., concepts which belong to the original query may be lost when reformulated queries are produced. Thereby, this work proposes the use of semantic measures obtained from information quality (IQ) criteria aiming to avoid or minimise this semantic loss. Moreover, it combines semantic information and IQ, by presenting a model, which is instantiated to illustrate how this proposal produces the semantic measures and enhances query routing processes.

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A Semantic-Based Approach for Data Management in a P2P System

Cited by 8 publications

References 25 publications

A Domain-based Approach to Publish Data on the Web

A Domain-based Approach to Publish Data on the Web

An approach to manage semantic heterogeneity in unstructured P2P information retrieval systems

Semantic measures as information quality criteria for query routing processes

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