2,099 research outputs found

    Upgrading Relational Legacy Data to eh Semantic Web

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    In this poster, we describe a framework composed of the R2O mapping language and the ODEMapster processor to upgrade relational legacy data to the Semantic Web. The framework is based on the declarative description of mappings between relational and ontology elements and the exploitation of such mapping descriptions by a generic processor capable of performing both massive and query driven data upgrade

    R2O, an extensible and semantically based database-to-ontology mapping language

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    We present R2O, an extensible and declarative language to describe mappings between relational DB schemas and ontologies implemented in RDF(S) or OWL. R2O provides an extensible set of primitives with welldefined semantics. This language has been conceived expressive enough to cope with complex mapping cases arisen from situations of low similarity between the ontology and the DB models

    Fund Finder: A case study of database-to-ontology mapping

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    The mapping between databases and ontologies is a basic problem when trying to "upgrade" deep web content to the semantic web. Our approach suggests the declarative definition of mappings as a way to achieve domain independency and reusability. A specific language (expressive enough to cover some real world mapping situations like lightly structured databases or not 1st normal form ones) is defined for this purpose. Along with this mapping description language, the ODEMapster processor is in charge of carrying out the effective instance data migration. We illustrate this by testing both the mappings definition and processor on a case study

    Mapping relational data model to OWL ontology: knowledge conceptualization in OWL

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    In this paper, we introduce the issues and solutions of using OWL ontology to model extra restriction on 'Properties' of 'Classes' that are not provided by OWL specifications and to represent associations amongst 'Properties' other than 'Classes'. Two specific types of knowledge that cannot be modeled directly using OWL DL elements are identified and presented. Firstly the data value range constraint for a "DatatypeProperty"; secondly the calculation knowledge representation. Our approach to such issues is to conceptualize the knowledge in OWL and map the conceptualization in an implementation. Examples for each type of the knowledge and their OWL code are provided in detail to demonstrate our approach

    Knowledge extraction from web based application source code: an approach to database reverse engineering for ontology development

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    This paper presents a novel approach for extracting knowledge from web-based application source code in supplementing and assisting ontology development from database schemas. The structure of web-based application source code is defined in order to distinguish different kinds of knowledge within the source code for ontology development. The connections between the relevant parts of web application source code and the backend database schema with their various forms are explicitly specified in detail. A knowledge processing and integration model for extracting and integrating the knowledge embedded in the source code for ontology development is then proposed

    Semantic mappings: out of ontology world limits

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    Mappings usually relate two similar knowledge representations. Thus, we can find many examples of mappings amid thesauri, databases, ontologies (domain ontologies, top-level and domain ontologies, PSM (Problem Solving Method) and domain ontologies, linguistic and domain ontologies); additionally, we can frequently find systems with mappings that relate two different knowledge representations, for instance, databases and ontologies. All these mappings are operationally different ,and are also named differently (mappings, correspondences, semantic bridges, transformations, semantic relations, functions, conversions, domain-PSM relations), but is there a single definition for these concepts? Can we find common characteristics? This paper analyzes the existing definitions and representation of the term “mapping” (and related terms) in the ontology world and its semantic neighborhood and proposes a new definition and representation of “mapping” for the Semantic Web field

    Ten Years of Rich Internet Applications: A Systematic Mapping Study, and Beyond

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    BACKGROUND: The term Rich Internet Applications (RIAs) is generally associated with Web appli- cations that provide the features and functionality of traditional desktop applications. Ten years after the introduction of the term, an ample amount of research has been carried out to study various aspects of RIAs. It has thus become essential to summarize this research and provide an adequate overview. OBJECTIVE: The objective of our study is to assemble, classify and analyze all RIA research performed in the scienti c community, thus providing a consolidated overview thereof, and to identify well-established topics, trends and open research issues. Additionally, we provide a qualitative discussion of the most inter- esting ndings. This work therefore serves as a reference work for beginning and established RIA researchers alike, as well as for industrial actors that need an introduction in the eld, or seek pointers to (a speci c subset of) the state-of-the-art. METHOD: A systematic mapping study is performed in order to identify all RIA-related publications, de ne a classi cation scheme, and categorize, analyze, and discuss the identi ed research according to it. RESULTS: Our source identi cation phase resulted in 133 relevant, peer-reviewed publications, published between 2002 and 2011 in a wide variety of venues. They were subsequently classi ed according to four facets: development activity, research topic, contribution type and research type. Pie, stacked bar and bubble charts were used to visualize and analyze the results. A deeper analysis is provided for the most interesting and/or remarkable results. CONCLUSION: Analysis of the results shows that, although the RIA term was coined in 2002, the rst RIA-related research appeared in 2004. From 2007 there was a signi cant increase in research activity, peaking in 2009 and decreasing to pre-2009 levels afterwards. All development phases are covered in the identi ed research, with emphasis on \design" (33%) and \implementation" (29%). The majority of research proposes a \method" (44%), followed by \model" (22%), \methodology" (18%) and \tools" (16%); no publications in the category \metrics" were found. The preponderant research topic is \models, methods and methodologies" (23%) and to a lesser extent, \usability & accessibility" and \user interface" (11% each). On the other hand, the topic \localization, internationalization & multi-linguality" received no attention at all, and topics such as \deep web" (under 1%), \business processing", \usage analysis", \data management", \quality & metrics", (all under 2%), \semantics" and \performance" (slightly above 2%) received very few attention. Finally, there is a large majority of \solution proposals" (66%), few \evaluation research" (14%) and even fewer \validation" (6%), although the latter are increasing in recent years
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