Matches in ScholarlyData for { ?s ?p ?o. }
- 431 type InProceedings.
- 431 label "dbrec - Music Recommendations Using DBpedia".
- 431 sameAs 431.
- 431 abstract "This paper describes the theoretical background and the implementation of dbrec, a music recommendation system built on top of DBpedia, offering recommendations for more than 39,000 bands and solo artists. We discuss the various challenges and lessons learnt while building it, providing relevant insights for people developing applications consuming Linked Data. Furthermore, we provide a user-centric evaluation of the system, notably by comparing it to last.fm.".
- 431 hasAuthorList authorList.
- 431 isPartOf proceedings.
- 431 keyword "dbpedia".
- 431 keyword "linked data".
- 431 keyword "recommendation systems".
- 431 keyword "semantic distance".
- 431 keyword "semantic web applications".
- 431 keyword "semantic web".
- 431 title "dbrec - Music Recommendations Using DBpedia".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasLastItem item-1.
- item-1 type ListItem.
- item-1 hasContent alexandre-passant.
- 432 creator peiqin-gu.
- 432 type InProceedings.
- 432 label "Causal Knowledge Modeling for Traditional Chinese Medicine using OWL 2".
- 432 sameAs 432.
- 432 abstract "Unlike Western Medicine, those in Traditional Chinese Medicine (TCM) are based on inherent rules or patterns, which can be considered as causal links. Existing approaches tend to apply computational methods on semantic ontology to do knowledge mining, but it cannot perfectly make use of internal principles in TCM. When it comes to knowledge representation, we can transform this inherent knowledge into causal graphs. In this paper, we present an approach to build a TCM knowledge model with the capability of rule reasoning using OWL 2. In particular, we focused on the causal relations among syndrome and symptoms, changes between syndromes. We evaluated our approach by giving two typical use cases and implemented them using Jena, a Java framework supporting RDF, OWL, and including a rule-based inference engine. The evaluation results suggested that our approach clearly displayed the causal relations in TCM and shows a great potential in TCM knowledge mining.".
- 432 hasAuthorList authorList.
- 432 isPartOf proceedings.
- 432 keyword "causal knowledge modeling".
- 432 keyword "owl 2".
- 432 keyword "rule reasoning".
- 432 keyword "semantic web".
- 432 keyword "tcm".
- 432 title "Causal Knowledge Modeling for Traditional Chinese Medicine using OWL 2".
- authorList type List.
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- item-1 type ListItem.
- item-1 hasContent peiqin-gu.
- 435 creator alan-rector.
- 435 creator martin-hurrell.
- 435 creator matt-mouley-bouamrane.
- 435 type InProceedings.
- 435 label "Experience of Using OWL Ontologies for Automated Inference of Routine Pre-Operative Screening Tests".
- 435 sameAs 435.
- 435 abstract "We describe our experience of designing and implementing a knowledge-based pre-operative assessment decision support system. We developed the system using semantic web technology, including modular ontologies developed in the OWL Web Ontology Language, the OWL Java Application Programming Interface and an automated logic reasoner. Using ontologies at the core of the system's architecture permits to efficiently manage a vast repository of pre-operative assessment domain knowledge, including classification of surgical procedures, classification of morbidities, and guidelines for routine pre-operative screening tests. Logical inference on the domain knowledge, according to individual patient's medical context (medical history combined with planned surgical procedure) enables to generate personalised patients' reports, consisting of a risk assessment and clinical recommendations, including relevant pre-operative screening tests.".
- 435 hasAuthorList authorList.
- 435 isPartOf proceedings.
- 435 keyword "semantic web".
- 435 title "Experience of Using OWL Ontologies for Automated Inference of Routine Pre-Operative Screening Tests".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasLastItem item-3.
- item-1 type ListItem.
- item-1 hasContent matt-mouley-bouamrane.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent alan-rector.
- item-2 next item-3.
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- item-3 type ListItem.
- item-3 hasContent martin-hurrell.
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- 436 creator daniel-schwabe.
- 436 creator geert-jan-houben.
- 436 creator jan-hidders.
- 436 creator samur-araujo.
- 436 type InProceedings.
- 436 label "Fusion - Visually Exploring and Eliciting Relationships in Linked Data".
- 436 sameAs 436.
- 436 abstract "Building applications over Linked Data often requires a mapping between the application model and the ontology underlying the source dataset in the Linked Data cloud. This mapping can be defined in many ways. For instance, by describing the application model as a view over the source dataset, by giving mappings in the form of dependencies between the two datasets, or by inference rules that infer the application model from the source dataset. Explicitly formulating these mappings demands a comprehensive understanding of the underlying schemas (RDF ontologies) of the source and target datasets. This task can be supported by integrating the process of schema exploration into the mapping process and help the application designer with finding the implicit relationships that she wants to map. This paper describes Fusion - a framework for closing the gap between the application model and the underlying ontologies in the Linked Data cloud. Fusion simplifies the definition of mappings by providing a visual user interface that integrates the exploratory process and the mapping process. Its architecture allows the creation of new applications through the extension of existing Linked Data with additional data.".
- 436 hasAuthorList authorList.
- 436 isPartOf proceedings.
- 436 keyword "data interaction".
- 436 keyword "data management".
- 436 keyword "linked data".
- 436 keyword "rdf mapping".
- 436 keyword "semantic web".
- 436 title "Fusion - Visually Exploring and Eliciting Relationships in Linked Data".
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- item-1 type ListItem.
- item-1 hasContent samur-araujo.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent geert-jan-houben.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent daniel-schwabe.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.