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- 180 creator robert-stevens.
- 180 creator sean-bechhofer.
- 180 creator simon-jupp.
- 180 type InProceedings.
- 180 label "A flexible API and editor for SKOS".
- 180 sameAs 180.
- 180 abstract "We present a programmatic interface (SKOS API) and editor for working with the Simple Knowledge Organisation System SKOS. The SKOS API has been designed to work with SKOS models at a high level of abstraction to aid developers of applications that use SKOS. We describe a SKOS editor (SKOSEd) that is built on the Protege 4 framework using the OWL and SKOS API. As well as exploring the benefits of the principled extensibility afforded by this approach, we also explore the limitations placed upon SKOS by restricting SKOSEd to OWL-DL.".
- 180 hasAuthorList authorList.
- 180 hasTopic Evaluation.
- 180 hasTopic Knowledge_management.
- 180 hasTopic Ontology_engineering.
- 180 hasTopic Performance_engineering.
- 180 hasTopic Scalability.
- 180 hasTopic Semantic_Web.
- 180 hasTopic Semantic_desktop.
- 180 hasTopic Test.
- 180 hasTopic Validation.
- 180 isPartOf proceedings.
- 180 keyword "API".
- 180 keyword "Editor".
- 180 keyword "OWL".
- 180 keyword "SKOS".
- 180 title "A flexible API and editor for SKOS".
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- item-1 hasContent simon-jupp.
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- 181 creator adriana-budura.
- 181 creator karl-aberer.
- 181 creator philippe-cudre-mauroux.
- 181 creator sebastian-michel.
- 181 type InProceedings.
- 181 label "Neighborhood - based Tag Prediction".
- 181 sameAs 181.
- 181 abstract "We consider the problem of tag prediction in collaborative tagging systems where users share and annotate resources on the Web. We put forward HAMLET, a novel approach to automatically propagate tags along the edges of a graph which relates similar documents. We identify the core principles underlying tag propagation for which we derive suitable scoring models combined in one overall ranking formula. Leveraging these scores, we present an efficient top-k tag selection algorithm that infers additional tags by carefully inspecting neighbors in the document graph. Experiments using real-world data demonstrate the viability of our approach in large-scale environments where tags are scarce.".
- 181 hasAuthorList authorList.
- 181 hasTopic Data_mining.
- 181 hasTopic Semantic_Web.
- 181 hasTopic Social_network.
- 181 hasTopic Web_2.0.
- 181 isPartOf proceedings.
- 181 keyword "Web 2.0".
- 181 keyword "tag propagation".
- 181 keyword "tagging".
- 181 title "Neighborhood - based Tag Prediction".
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- item-1 hasContent adriana-budura.
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- 186 creator manuel-moeller.
- 186 creator michael-sintek.
- 186 creator sven-regel.
- 186 type InProceedings.
- 186 label "RadSem: Semantic Annotation and Retrieval for Medical Images".
- 186 sameAs 186.
- 186 abstract "We present a platform for semantic medical image annotation and retrieval. It leverages on the MEDICO ontology which covers formal background information from various biomedical ontologies such as the Foundational Model of Anatomy (FMA), terminologies like ICD10 and RadLex and covers various aspects of clinical procedures. This ontology is used during several steps of annotation and retrieval: (1) We developed an ontology-driven metadata extractor for the medical image format DICOM. Its output contains, e.g., person name, age, image acquisition parameters, body region etc. (2) The output from (1) is used to simplify the manual annotation by providing intuitive visualizations and to provide a preselected subset of annotation concepts. Furthermore, the extracted metadata is linked together with anatomical annotations and clinical findings to generate a unified view on a patient's medical history. (3) On the search side we perform query expansion based on the structure of the medical ontologies. (4) Our ontology for clinical data management allows to link and combine patients, medical images and annotations together in a comprehensive result list. (5) The medical annotations are further extended by links to external sources like Wikipedia to provide additional information.".
- 186 hasAuthorList authorList.
- 186 hasTopic Annotation.
- 186 hasTopic Data.
- 186 hasTopic Knowledge_management.
- 186 hasTopic Multimedia.
- 186 hasTopic Query.
- 186 hasTopic Search_engine.
- 186 hasTopic Semantic_Web.
- 186 hasTopic Semantic_desktop.