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

• paper-30 hasAuthorList authorList.
• paper-30 isPartOf proceedings-1.
• paper-30 title "Trentino government linked open geo-data: a case study".
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• item-1 hasContent pavel-shvaiko.
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• item-2 hasContent feroz-farazi.
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• item-3 hasContent vincenzo-maltese.
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• item-4 hasContent alexander-ivanyukovich.
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• item-5 hasContent veronica-rizzi.
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• item-6 hasContent daniela-ferrari.
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• item-7 hasContent giuliana-ucelli.
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• paper-31 type InProceedings.
• paper-31 label "A Comparison of Hard Filters and Soft Evidence for Answer Typing in Watson".
• paper-31 sameAs paper-31.
• paper-31 abstract "Questions often explicitly request a particular type of answer. One popular approach to answering natural language questions involves filtering candidate answers based on precompiled lists of instances of common answer types (e.g., countries, animals, foods, etc.). Such a strategy is poorly suited to an open domain in which there is an extremely broad range of types of answers, and the most frequently occurring types cover only a small fraction of all answers. In this paper we present an alternative approach called TyCor, that employs soft filtering of candidates using multiple strategies and sources. We find that TyCor significantly outperforms a single-source, single-strategy hard filtering approach, demonstrating both that multi-source multi-strategy outperforms a single source, single strategy, and that its fault tolerance yields significantly better performance than a hard filter.".
• paper-31 hasAuthorList authorList.
• paper-31 isPartOf proceedings-1.
• paper-31 title "A Comparison of Hard Filters and Soft Evidence for Answer Typing in Watson".
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• item-1 hasContent chris-welty.
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• item-2 hasContent j-william-murdock.
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• item-3 hasContent aditya-kalyanpur.
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• item-4 hasContent james-fan.
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• paper-32 type InProceedings.
• paper-32 label "Achieving Interoperability through Semantics-based Technologies: The Instant Messaging Case".
• paper-32 sameAs paper-32.
• paper-32 abstract "The success of pervasive computing depends on the ability to compose a multitude of networked applications dynamically in order to achieve user goals. However, applications from different providers are not able to interoperate due to incompatible interaction protocols or disparate data models. Instant messaging is a representative example of the current situation, where various competing applications keep emerging. To enforce interoperability at runtime and in a non-intrusive manner, mediators are used to perform the necessary translations and coordination between the heterogeneous applications. Nevertheless, the design of mediators requires considerable knowledge about each application as well as a substantial development effort. In this paper we present an approach based on ontology reasoning and model checking in order to generate correct-by-construction mediators automatically. We demonstrate the feasibility of our approach through a prototype tool and show that it synthesises mediators that achieve efficient interoperation of instant messaging applications.".
• paper-32 hasAuthorList authorList.
• paper-32 isPartOf proceedings-1.
• paper-32 title "Achieving Interoperability through Semantics-based Technologies: The Instant Messaging Case".
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• item-1 hasContent amel-bennaceur.
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• item-2 hasContent valerie-issarny.
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• item-3 hasContent romina-spalazzese.
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• item-4 type ListItem.
• item-4 hasContent shashank-tyagi.
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• paper-33 type InProceedings.
• paper-33 label "QuerioCity: A Linked Data Platform for Urban Information Management".
• paper-33 sameAs paper-33.
• paper-33 abstract "In this paper, we present QuerioCity, a platform to catalog, index and query highly heterogenous information coming from complex systems, such as cities. A series of challenges are identified: namely, the heterogeneity of the domain and the lack of a common model, the volume of information and the number of data sets, the requirement for a low entry threshold to the system, the diversity of the input data, in terms of format, syntax and update frequency (streams vs static data), and the sensitivity of the information. We propose an approach for incremental and continuous integration of static and streaming data, based on Semantic Web technologies. The proposed system is unique in the literature in terms of handling of multiple integrations of available data sets in combination with flexible provenance tracking, privacy protection and continuous integration of streams. We report on lessons learnt from building the first prototype for Dublin.".
• paper-33 hasAuthorList authorList.

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