1,030 research outputs found

    Interconnection semantics for keyword search in XML

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    Web Queries: From a Web of Data to a Semantic Web?

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    Reasoning & Querying – State of the Art

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    Various query languages for Web and Semantic Web data, both for practical use and as an area of research in the scientific community, have emerged in recent years. At the same time, the broad adoption of the internet where keyword search is used in many applications, e.g. search engines, has familiarized casual users with using keyword queries to retrieve information on the internet. Unlike this easy-to-use querying, traditional query languages require knowledge of the language itself as well as of the data to be queried. Keyword-based query languages for XML and RDF bridge the gap between the two, aiming at enabling simple querying of semi-structured data, which is relevant e.g. in the context of the emerging Semantic Web. This article presents an overview of the field of keyword querying for XML and RDF

    Semantic Query Optimisation with Ontology Simulation

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    Semantic Web is, without a doubt, gaining momentum in both industry and academia. The word "Semantic" refers to "meaning" - a semantic web is a web of meaning. In this fast changing and result oriented practical world, gone are the days where an individual had to struggle for finding information on the Internet where knowledge management was the major issue. The semantic web has a vision of linking, integrating and analysing data from various data sources and forming a new information stream, hence a web of databases connected with each other and machines interacting with other machines to yield results which are user oriented and accurate. With the emergence of Semantic Web framework the na\"ive approach of searching information on the syntactic web is clich\'e. This paper proposes an optimised semantic searching of keywords exemplified by simulation an ontology of Indian universities with a proposed algorithm which ramifies the effective semantic retrieval of information which is easy to access and time saving

    SAGAXsearch: An XML Information Retrieval Mechanism: AN XML INFORMATION RETRIEVAL MECHANISM USING SELF ADAPTIVE GENETIC ALGORITHMS

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    The XML technology, with its self-describing and extensible tags, is significantly contributing to the next generation semantic web. The present search techniques used for HTML and text documents are not efficient when retrieving relevant XML documents. In this paper, Self Adaptive Genetic Algorithms are presented to learn about the tags, which are useful in indexing. The indices and relationship strength metric are used to extract fast and accurate semantically related elements in the XML documents. The Experiments are conducted on the DataBase systems and Logic Programming (DBLP) XML corpus and are evaluated for precision and recall. The proposed SAGAXsearch outperforms XSEarch3 and XRank20 with respect to accuracy and query execution time

    Can Component/Service-Based Systems Be Proved Correct?

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    Component-oriented and service-oriented approaches have gained a strong enthusiasm in industries and academia with a particular interest for service-oriented approaches. A component is a software entity with given functionalities, made available by a provider, and used to build other application within which it is integrated. The service concept and its use in web-based application development have a huge impact on reuse practices. Accordingly a considerable part of software architectures is influenced; these architectures are moving towards service-oriented architectures. Therefore applications (re)use services that are available elsewhere and many applications interact, without knowing each other, using services available via service servers and their published interfaces and functionalities. Industries propose, through various consortium, languages, technologies and standards. More academic works are also undertaken concerning semantics and formalisation of components and service-based systems. We consider here both streams of works in order to raise research concerns that will help in building quality software. Are there new challenging problems with respect to service-based software construction? Besides, what are the links and the advances compared to distributed systems?Comment: 16 page

    Identifying meaningful return information for XML keyword search

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    Keyword search enables web users to easily access XML data with-out the need to learn a structured query language and to study pos-sibly complex data schemas. Existing work has addressed the prob-lem of selecting qualied data nodes that match keywords and con-necting them in a meaningful way, in the spirit of inferring a where clause in XQuery. However, how to infer the return clause for key-word search is an open problem. To address this challenge, we present an XML keyword search en-gine, XSeek, to infer the semantics of the search and identify return nodes effectively. XSeek recognizes possible entities and attributes inherently represented in the data. It also distinguishes betwee

    Type-Ahead Search in XML data based on Improved Forward Index Structure: ATASK

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    The keyword based search system is most widely used in many real time applications for getting the required information from huge amount of dataset in quick time. There are many keyword search based systems and methods presented by various authors already, as the time goes, this methods becomes inefficient in different ways. The all previous methods did not work for search XML data in mode of type-ahead search, and hence it is not trivial to extend existing techniques to support fuzzy type-ahead search in XML data. Previous methods are not purely based on XML data and as XML data is consisting of parent and child nodes, it is complex to understand such format to read for existing methods. Existing methods directly works on single document. Thus to overcome the limitations of existing methods, we need to have efficient XML based type-ahead shear method. Recently we have studied one such method, which is called as TASX (pronounced “task”). This is fuzzy type-ahead search method in XML data. This method searches the XML data during the typing of keyword from user end and it searches XML data even if it’s misspelled. Experimentally this method showing efficient performance as compared to existing methods, but there are still suggestions over this method for improvement. Here, we are presenting extended approach for XML based type-ahead search method ATASX (pronounced “a task”). In this method we are proposing to use improved forward-index structure method with aim of improving the search efficiency it reduces searching time and provides result quality
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