96 research outputs found

    Management of XML data by means of schema matching

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    Magdeburg, Univ., Fak. für Informatik, Diss., 2010Alsayed Alshahat Alsayed Algergaw

    XML data clustering: An overview

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    In the last few years we have observed a proliferation of approaches for clustering XML docu-\ud ments and schemas based on their structure and content. The presence of such a huge amount\ud of approaches is due to the different applications requiring the XML data to be clustered. These\ud applications need data in the form of similar contents, tags, paths, structures and semantics. In\ud this paper, we first outline the application contexts in which clustering is useful, then we survey\ud approaches so far proposed relying on the abstract representation of data (instances or schema),\ud on the identified similarity measure, and on the clustering algorithm. This presentation leads to\ud draw a taxonomy in which the current approaches can be classified and compared. We aim at\ud introducing an integrated view that is useful when comparing XML data clustering approaches,\ud when developing a new clustering algorithm, and when implementing an XML clustering compo-\ud nent. Finally, the paper moves into the description of future trends and research issues that still\ud need to be faced

    XML Schema Element Similarity Measures: A Schema Matching Context

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    In this paper, we classify, review, and experimentally compare\ud major methods that are exploited in the definition, adoption, and\ud utilization of element similarity measures in the context of XML schema\ud matching. We aim at presenting a unified view which is useful when developing\ud a new element similarity measure, when implementing an XML\ud schema matching component, when using an XML schema matching system,\ud and when comparing XML schema matching systems

    Combining Schema and Level-Based Matching for Web Service Discovery

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    Abstract. Due to the availability of huge number of Web services (WSs), finding an appropriate WS according to the requirement of a service con-sumer is still a challenge. In this paper, we present a new and flexible approach, called SeqDisc, that assesses the similarity between WSs. In particular, the approach exploits the Prüfer encoding method to repre-sent WSs as sequences capturing both semantic and structure informa-tion of service descriptions. Based on the sequence representation, we develop an efficient sequence-based schema matching approach to mea-sure the similarity between WSs. A set of experiments is conducted on real data sets, and the results confirm the performance of the proposed solution

    Feature-based Clustering of Web Data Sources

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    EcoPortal: a proposition for a semantic repository dedicated to ecology and biodiversity

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    This paper presents the joint effort of LifeWatch Italy and LTER- Europe to design EcoPortal, a semantic repository focused on ecology and bio- diversity as well as on ecosystem observation mainly in the European context. It is our aim to offer a space to collect domain ontologies as well as thesauri and domain relevant reference lists. We plan to test NCBO BioPortal technology to accommodate community requested functionalities

    Entity Extraction in the Ecological Domain – A practical guide

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    Scientific information comes in many shapes: As data in databases or spreadsheets, but also as textual information in papers and books. In order to exploit all this information and integrate all the knowledge that is available regarding a specific entity, it is necessary to identify entities and their relationships. In this paper, we provide a guideline to setting up a pipeline that supports entity and relationship extraction from scientific publications from the ecological domain
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