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- item-2 hasContent akimichi-tanaka.
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- item-3 hasContent toru-ishida.
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- 74 creator daniel-miranker.
- 74 creator juan-f-sequeda.
- 74 creator syed-tirmizi.
- 74 type InProceedings.
- 74 label "A Bootstrapping Architecture for Integration of Relational Databases to the Semantic Web".
- 74 sameAs 74.
- 74 abstract "The vision of the Semantic Web is to create a web of data with well-defined meaning. Most data in the current web is managed by relational databases. Thus, it is imperative for the Semantic Web community to offer easily implemented solutions to bridging relational database content and RDF. Direct mappings means to use the SQL schema to create an OWL ontology and use it to represent the data in RDF. Direct mapping methods have an advantage that they are, intrinsically, automated. If a SQL-schema was created using contemporary model-driven software engineering tools, the resulting OWL ontology can be semantically rich. However, few SQL databases are so developed and therefore semantically weak. We suggest that direct-mapping methods can be integrated by a refinement process. We propose a two step bootstrapping architecture of integrating relational databases with the Semantic Web by first generating a “database-derived putative ontology” and second, refining the putative ontology with a domain ontology and database individuals.".
- 74 hasAuthorList authorList.
- 74 isPartOf poster_demo_proceedings.
- 74 keyword "Direct Mapping".
- 74 keyword "Ontology".
- 74 keyword "Relational Databases".
- 74 keyword "Semantic Web".
- 74 title "A Bootstrapping Architecture for Integration of Relational Databases to the Semantic Web".
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- item-1 hasContent juan-f-sequeda.
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- item-2 hasContent syed-tirmizi.
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- item-3 hasContent daniel-miranker.
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- 75 creator krys-kochut.
- 75 creator maciej-janik.
- 75 type InProceedings.
- 75 label "OmniCat: Automatic Text Classification with Dynamically Defined Categories".
- 75 sameAs 75.
- 75 abstract "We present OmniCat, an ontology-based text categorization method that classifies documents into a dynamically defined set of categories specified as contexts in the domain ontology. The method does not require a training set and is based on measuring the semantic similarity of the thematic graph created from a text document and the ontology fragments created by the projection of the defined contexts. The domain ontology together with the defined contexts effectively becomes the classifier, as it includes all of the necessary semantic and structural features of the classification categories. With the proposed approach, we can also dynamically change the classification categories without the need to retrain the classifier. In our experiments, we used an RDF ontology created from the full version of the English language Wikipedia to categorize a set of CNN documents and a subset of the Reuters RCV1 corpora. The high accuracy achieved in our tests demonstrates the effectiveness of the proposed method and applicability of Wikipedia for semantic text categorization.".
- 75 hasAuthorList authorList.
- 75 isPartOf poster_demo_proceedings.
- 75 keyword "Ontology-based text categorization".
- 75 keyword "Semantic Web".
- 75 title "OmniCat: Automatic Text Classification with Dynamically Defined Categories".
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- item-1 hasContent maciej-janik.
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- item-2 hasContent krys-kochut.
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- 76 creator felix-kratzer.
- 76 creator kai-mainzer.
- 76 creator michael-schneider.
- 76 type InProceedings.
- 76 label "semSL: Tagging and Data Linking for Second Life".
- 76 sameAs 76.
- 76 abstract "We present semSL, an approach to bring Semantic Web technologies into Second Life. Second Life is a virtual 3D world, in which users can communicate, build objects, and explore the land of other users. There are different kinds of entities in Second Life, which can be locations, objects, or events. Many of these entities are of potential interest to users. However, searching for entities is difficult in Second Life, since there is only a very limited way to describe entities. With semSL it becomes possible for every user to add arbitrary tags or key/value pair based descriptions to entities in Second Life, or to create typed links between entities. Such typed links can even be established between entities in Second Life and resources from the Semantic Web. The description data for all such entities is centrally stored at a server external to Second Life. The data is encoded in RDF, and is publicly accessible via a SPARQL endpoint. This should not only lead to significant improvements for searching operations, but will also allow for flexible data integration between data from semSL and data from other sources on the Semantic Web.".
- 76 hasAuthorList authorList.
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- 76 keyword "Linked Data".
- 76 keyword "Second Life".
- 76 keyword "Tagging".
- 76 title "semSL: Tagging and Data Linking for Second Life".
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- item-1 hasContent michael-schneider.
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- item-2 hasContent felix-kratzer.
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- item-3 hasContent kai-mainzer.
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- 77 creator gerard-de-melo.
- 77 creator gerhard-weikum.
- 77 type InProceedings.
- 77 label "Language as a Foundation of the Semantic Web".
- 77 sameAs 77.
- 77 abstract "This paper aims to show how language-related knowledge may serve as a fundamental building block for the Semantic Web. We present a system of URIs for terms, languages, scripts, and characters, which are not only highly interconnected but also linked to a great variety of resources on the Web. Additional mapping heuristics can then be used to derive new links.".
- 77 hasAuthorList authorList.
- 77 isPartOf poster_demo_proceedings.
- 77 keyword "URIs".
- 77 keyword "language".
- 77 keyword "lexical".
- 77 title "Language as a Foundation of the Semantic Web".
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