Matches in ScholarlyData for { ?s ?p ?o. }
- 10 abstract "Abstract. Distributed Human Computation (DHC) is used to solve computational problems by incorporating the collaborative effort of a large number of humans. It is also a solution to AI-complete problems such as natural language processing. The Semantic Web with its root in AI has many research problems that are considered as AI-complete. E.g. co-reference resolution, which involves determining whether different URIs refer to the same entity, is a significant hurdle to overcome in the re- alisation of large-scale Semantic Web applications. In this paper, we pro- pose a framework for building a DHC system on top of the Linked Data Cloud to solve various computational problems. To demonstrate the con- cept, we are focusing on handling the co-reference resolution when inte- grating distributed datasets. Traditionally machine-learning algorithms are used as a solution for this but they are often computationally expen- sive, error-prone and do not scale. We designed a DHC system named iamResearcher, which solves the scientific publication author identity co- reference problem when integrating distributed bibliographic datasets. In our system, we aggregated 6 million bibliographic data from various pub- lication repositories. Users can sign up to the system to audit and align their own publications, thus solving the co-reference problem in a dis- tributed manner. The aggregated results are dereferenceable in the Open Linked Data Cloud.".
- 10 hasAuthorList authorList.
- 10 isPartOf proceedings.
- 10 keyword "Co-reference".
- 10 keyword "Crowd-sourcing".
- 10 keyword "DHC".
- 10 keyword "Distributed Human computation".
- 10 keyword "Linked Data".
- 10 title "Distributed Human Computation Framework for Linked Data Co-reference Resolution".
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- item-2 hasContent priyanka-singh.
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- item-8 hasContent manuel-salvadores.
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- 2 creator dimitrios-koutsomitropoulos.
- 2 creator georgia-solomou.
- 2 creator ricardo-borillo-domench.
- 2 type InProceedings.
- 2 label "A Structured Semantic Query Interface for Reasoning-based Search and Retrieval".
- 2 sameAs 2.
- 2 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.".
- 2 hasAuthorList authorList.
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- 2 keyword "Manchester Syntax".
- 2 keyword "Semantic Web".
- 2 keyword "entailment".
- 2 keyword "guided input".
- 2 keyword "ontologies".
- 2 keyword "querying".
- 2 keyword "reasoning".
- 2 title "A Structured Semantic Query Interface for Reasoning-based Search and Retrieval".
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- item-1 hasContent dimitrios-koutsomitropoulos.
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- 1 creator carlos-ruiz.
- 1 creator carmen-cordoba.