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Matches in ScholarlyData for { ?s ?p ?o. }

• paper-01 abstract "A class of search queries which contain abstract concepts are studied in this paper. These queries cannot be correctly interpreted by traditional keyword-based search engines. This paper presents a simple framework that detects and instantiates the abstract concepts by their concrete entities or meanings to produce alternate queries that yield better search results.".
• paper-01 hasAuthorList authorList.
• paper-01 isPartOf poster-demo-proceedings.
• paper-01 title "Query Suggestion by Concept Instantiation".
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• item-1 hasContent jack-sun.
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• item-2 hasContent franky.
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• item-3 hasContent kenny-zhu.
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• item-4 type ListItem.
• item-4 hasContent haixun-wang.
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• paper-02 type InProceedings.
• paper-02 label "Curating Semantic Linked Open Datasets for Software Engineering".
• paper-02 sameAs paper-02.
• paper-02 abstract "A typical software engineer spends a significant amount of time and effort reading technical manuals to find answers to questions especially those related to features, versions, compatibilities and dependencies of software and hardware components, languages, standards, modules, libraries and products. It is currently not possible to provide a semantic solution to their problem primarily due to the non-availability of comprehensive semantic datasets in the domains of information technology. In this work, we have extracted, integrated and curated a linked open dataset (LOD) called LOaD-IT exclusively on this domain from a variety of sources including other LODs such as Freebase and DBPedia, technical documentation such as JavaDocs and others. Further, we have built a technical helpdesk system using a semantic query engine that derives answers from LOaD-IT. Our system demonstrates how productivity of the software engineer can be improved by eliminating the need to read through lengthy technical manuals. We expect LOaD-IT to become more comprehensive in the future and to find other related practical applications.".
• paper-02 hasAuthorList authorList.
• paper-02 isPartOf poster-demo-proceedings.
• paper-02 title "Curating Semantic Linked Open Datasets for Software Engineering".
• authorList type List.
• authorList hasFirstItem item-1.
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• item-1 type ListItem.
• item-1 hasContent kavi-mahesh.
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• item-2 hasContent aparna-nagarajan.
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• item-3 hasContent apoorva-rao-balevalachilu.
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• item-4 hasContent karthik-rajendra-prasad.
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• paper-03 type InProceedings.
• paper-03 label "RelClus: Clustering-based Relationship Search".
• paper-03 sameAs paper-03.
• paper-03 abstract "Searching and browsing relationships between entities is an important task in many domains. To support users in interactively exploring a large set of relationships, we present a novel relationship search engine called RelClus, which automatically groups search results into a dynamically generated hierarchy with meaningful labels. This hierarchical clustering of relationships exploits their schematic patterns and a similarity measure based on information theory.".
• paper-03 hasAuthorList authorList.
• paper-03 isPartOf poster-demo-proceedings.
• paper-03 title "RelClus: Clustering-based Relationship Search".
• authorList type List.
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• item-1 hasContent yanan-zhang.
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• item-2 hasContent gong-cheng.
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• item-3 type ListItem.
• item-3 hasContent yuzhong-qu.
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• paper-04 type InProceedings.
• paper-04 label "DiTTO: Diagrams Transformation inTo OWL".
• paper-04 sameAs paper-04.
• paper-04 abstract "In this paper we introduce DiTTO, an online service that allows one to convert a E/R diagram created through the yEd diagram editor into a proper OWL ontology according to three different conversion strategies.".
• paper-04 hasAuthorList authorList.
• paper-04 isPartOf poster-demo-proceedings.
• paper-04 title "DiTTO: Diagrams Transformation inTo OWL".
• authorList type List.
• authorList hasFirstItem item-1.
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• item-1 hasContent aldo-gangemi.
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• item-2 hasContent silvio-peroni.
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• paper-05 type InProceedings.
• paper-05 label "Optique 1.0: Semantic Access to Big Data; The Case of Norwegian Petroleum Directorate’s FactPages".
• paper-05 sameAs paper-05.
• paper-05 abstract "The Optique project aims at developing an end-to-end system for semantic data access to Big Data in industries such as Statoil ASA and Siemens AG. In our demonstration we present the first version of the Optique system customised for the Norwegian Petroleum Directorate's FactPages, a public data available for engineers at Statoil ASA. The system provides different options, including visual, to formulate queries over ontologies and to display query answers. Optique~1.0 offers two installation wizards that allow to extract ontologies from relational schemas, extract and define mappings connecting ontologies and schemas, and align and approximate ontologies. Moreover, the system offers tools to edit these components and highly optimised techniques for query answering.".
• paper-05 hasAuthorList authorList.
• paper-05 isPartOf poster-demo-proceedings.

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