A Visual Interface for Building SPARQL Queries in Konduit
ABSTRACT This short demo description presents an extension to the Konduit tool for visual programming for the semantic desktop. Previously, Konduit required users to define filter components by manually specifying a SPARQL CONSTRUCT query. With the current work presented in this demo, we are exploring ways of building such queries visually, and aiding the use in doing it. We hope that this will make it easier to work with Konduit, which will thus appeal to more users. 1.
Full-textDOI: · Available from: Siegfried Handschuh, May 20, 2014
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- "While there are systems which support this task with visual tools   or natural language interfaces    , the process of query construction can still be complex and time consuming. According to , users prefer keyword search, and struggle with the construction of semantic queries although being supported with a natural language interface. "
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ABSTRACT: Information and knowledge retrieval are today some of the main assets of the Semantic Web. However, a notable immaturity still exists, as to what tools, methods and standards may be used to effectively achieve these goals. No matter what approach is actually followed, querying Semantic Web information often requires deep knowledge of the ontological syntax, the querying protocol and the knowledge base structure as well as a careful elaboration of the query itself, in order to extract the desired results. In this paper, we propose a structured semantic query interface that helps to construct and submit entailment-based queries in an intuitive way. It is designed so as to capture the meaning of the intended user query, regardless of the formalism actually being used, and to transparently formulate one in reasoner-compatible format. This interface has been deployed on top of the semantic search prototype of the DSpace digital repository system.The Semantic Web: Research and Applications - 8th Extended Semantic Web Conference, ESWC 2011, Heraklion, Crete, Greece, May 29-June 2, 2011, Proceedings, Part I; 01/2011
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ABSTRACT: In this paper, we discuss the architecture and implementation of the Semantic Web Search Engine (SWSE). Following traditional search engine architecture, SWSE consists of crawling, data enhancing, indexing and a user interface for search, browsing and retrieval of information; unlike traditional search engines, SWSE operates over RDF Web data – loosely also known as Linked Data – which implies unique challenges for the system design, architecture, algorithms, implementation and user interface. In particular, many challenges exist in adopting Semantic Web technologies for Web data: the unique challenges of the Web – in terms of scale, unreliability, inconsistency and noise – are largely overlooked by the current Semantic Web standards. Herein, we describe the current SWSE system, initially detailing the architecture and later elaborating upon the function, design, implementation and performance of each individual component. In so doing, we also give an insight into how current Semantic Web standards can be tailored, in a best-effort manner, for use on Web data. Throughout, we offer evaluation and complementary argumentation to support our design choices, and also offer discussion on future directions and open research questions. Later, we also provide candid discussion relating to the difficulties currently faced in bringing such a search engine into the mainstream, and lessons learnt from roughly six years working on the Semantic Web Search Engine project.Journal of Web Semantics 12/2011; 9(4):365-401. DOI:10.1016/j.websem.2011.06.004 · 1.38 Impact Factor