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- 109 creator aldo-gangemi.
- 109 creator francesco-draicchio.
- 109 creator valentina-presutti.
- 109 type InProceedings.
- 109 label "Knowledge extraction based on Discourse Representation Theory and linguistic frames.".
- 109 sameAs 109.
- 109 abstract "We have implemented a novel approach for robust ontology design from natural language texts by combining Discourse Representation Theory (DRT), linguistic frame semantics, and ontology design patterns. We show that DRT-based frame detection is feasible by conducting a comparative evaluation of our approach and existing tools. Furthermore, we define a mapping between DRT and RDF/OWL for the production of quality linked data and ontologies, and present FRED, an online tool for converting text into internally well-connected and linked-data-ready ontologies in web-service-acceptable time.".
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- 109 title "Knowledge extraction based on Discourse Representation Theory and linguistic frames.".
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- 11 creator manuel-atencia.
- 11 creator marie-christine-rousset.
- 11 creator mustafa-al-bakri.
- 11 type InProceedings.
- 11 label "TrustMe, I got what you mean! A Trust-Based Semantic P2P Bookmarking System".
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- 11 abstract "This demo builds on ATRUST, a probabilistic model of trust aimed to assist peers for query answering in semantic P2P systems. We illustrate the usage of ATRUST in a P2P bookmarking scenario where peers exchange URLs of articles about topics they are interested in. Unlike classical bookmarking systems (e.g. Delicious), in this ideal P2P bookmarking network information is no longer centralised, and peers need to query each other to gather new articles. Further, each peer uses her own taxonomy of categories for indexing URLs of articles. We highlight the gain in the quality of peers' answers ---measured with precision and recall--- when the process of query answering is guided by ATRUST. As a particular case, we show how trust overcomes homonymy. Moreover, a trust-based ranking of articles allows to distinguish the articles relevant to a category from the ones related to its homonymous categories.".
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- 11 title "TrustMe, I got what you mean! A Trust-Based Semantic P2P Bookmarking System".
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- 12 creator jens-lehmann.
- 12 creator marcus-nitzschke.
- 12 creator sebastian-hellmann.
- 12 creator soeren-auer.
- 12 type InProceedings.
- 12 label "NIF Combinator: Combining NLP Tool Output".
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- 12 abstract "The NLP Interchange Format (NIF) is an RDF/OWL-based format that aims to achieve interoperability between Natural Language Processing (NLP) tools, language resources and annotations. The motivation behind NIF is to allow NLP tools to exchange annotations about text documents in RDF. Other than more centralized solutions such as UIMA and GATE, NIF enables the creation of heterogeneous, distributed and loosely coupled NLP applications, which use the Web as an integration platform. NIF wrappers have to be only created once for a particular tool and can subsequently interoperate with a potentially large number of other tools without additional adaptations. In this paper, we present 1. the currently implemented NIF Wrappers, which are available as free web services and 2. a GUI called the NIF Combinator, which allows to combine the output of the implemented NIF web services.".
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