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- 61 creator abdulhussain-e-mahdi.
- 61 creator arash-joorabchi.
- 61 type InProceedings.
- 61 label "Automatic Subject Metadata Generation for Scientific Documents Using Wikipedia and Genetic Algorithms".
- 61 sameAs 61.
- 61 abstract "Topical annotation of documents with keyphrases is a proven method for revealing the subject of scientific and research documents to both human readers and information retrieval systems, such as search and knowledge man-agement engines. However, scientific documents that are manually annotated with keyphrases are in the minority. This paper describes a new machine learn-ing-based automatic keyphrase annotation method for scientific documents, which utilizes Wikipedia as a thesaurus for candidate selection from docu-ments’ content and deploys genetic algorithms to learn a model for ranking and filtering the most probable keyphrases. We have evaluated the performance of this method on a third-party dataset of research papers. Reported experimental results show that the performance of our method, evaluated in terms of inter-consistency with human annotators, is on a par with that achieved by humans and outperforms rival supervised methods.".
- 61 hasAuthorList authorList.
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- 61 title "Automatic Subject Metadata Generation for Scientific Documents Using Wikipedia and Genetic Algorithms".
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- item-1 hasContent arash-joorabchi.
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- item-2 hasContent abdulhussain-e-mahdi.
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- 66 creator asuncion-gomez-perez.
- 66 creator mari-carmen-suarez-figueroa.
- 66 creator maria-poveda-villalon.
- 66 type InProceedings.
- 66 label "Validating ontologies with OOPS!".
- 66 sameAs 66.
- 66 abstract "Ontology quality can be affected by the difficulties involved in ontology modelling which may imply the appearance of anomalies in ontologies. This situation leads to the need of validating ontologies, that is, assessing their quality and correctness. Ontology validation is a key activity in different ontology engineering scenarios such as development and selection. This paper contributes to the ontology validation activity by proposing a web-based tool, called OOPS!, independent of any ontology development environment, for detecting anomalies in ontologies. This tool will help developers to improve ontology quality by automatically detecting potential errors.".
- 66 hasAuthorList authorList.
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- 66 title "Validating ontologies with OOPS!".
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- item-1 hasContent maria-poveda-villalon.
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- 70 creator chiara-di-francescomarino.
- 70 creator chiara-ghidini.
- 70 creator marco-rospocher.
- 70 type InProceedings.
- 70 label "Evaluating wiki-enhanced ontology authoring".
- 70 sameAs 70.
- 70 abstract "It is nowadays well-established that the construction of quality domain ontologies benefits by the involvement in the modelling process of more actors, possibly having different roles and skills. To be effective, the collaboration between these actors has to be fostered, enabling each of them to actively and readily participate to the development of the ontology, favouring as much as possible the direct involvement of the domain experts in the authoring activities. Recent works have shown that ontology modelling tools based on wikis' paradigm and technology could contribute in meeting these collaborative requirements. This paper investigates the effectiveness of wiki-enhanced approaches for collaborative ontology authoring in supporting the team work carried out by domain experts and knowledge engineers, as well as their impact on the whole process of collaborative ontology modelling.".
- 70 hasAuthorList authorList.
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- 70 title "Evaluating wiki-enhanced ontology authoring".
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- item-1 hasContent chiara-di-francescomarino.
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- 71 creator aidan-hogan.
- 71 creator josiane-xavier-parreira.
- 71 creator juergen-umbrich.
- 71 creator marcel-karnstedt.
- 71 type InProceedings.
- 71 label "Freshening Up While Staying Fast: Towards Hybrid SPARQL Queries".
- 71 sameAs 71.
- 71 abstract "Linked Data querying over cached indexes of Web data often suffers from stale or missing results due to infrequent updates and partial coverage of available sources. Conversely, live decentralised approaches offer fresh results taken directly from the Web, but suffer from slow response times due to the expense of numerous remote lookups at runtime. We thus propose a hybrid query approach that improves upon both paradigms, offering fresher results from a broader range of sources than Linked Data caches while offering faster results than live querying. Our hybrid query engine takes a cached and live query engine as black boxes, where a hybrid query planner splits an input query and delegates the appropriate sub-queries to each interface. In this paper, we discuss the core query-planning issues and their main strengths and weaknesses. We also present coherence measures to quantify the coverage and freshness for cached indexes of Linked Data, and show how these measures can be used during query planning to maximise the trade-off between fresh results and fast query execution.".
- 71 hasAuthorList authorList.
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- 71 title "Freshening Up While Staying Fast: Towards Hybrid SPARQL Queries".
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- item-1 hasContent juergen-umbrich.