Automated semantic annotation of rare disease cases: a case study

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Supporting Ontology-Based Semantic Annotation of Business Processes with Automated Suggestions

Annotation of Business Processes with semantic tags taken from a domain ontology is beneficial to several activities conducted on Business Processes, such as comprehension, documentation, analysis and evolution. On the other hand, the task of semantically annotating Business Processes is time-consuming and far from trivial. The authors support Business Process designers in the annotation of pro...

Solitary Head and Neck Cysticercosis: A Series of Rare Cases

Introduction: Cysticercosis is a disease which is caused by the infestation of the larvae Taenia solium, with humans acting as an intermediate host instead of a definitive host. Head and neck involvement including maxillofacial and oral involvement of cysticercosis is quite rare.  Case Report: We report a series of rare cases of cysticercosis of the head and neck region encountered in a tertia...

Cor Triatriatum Sinistrum Presenting as Cyanotic Congenital Heart Disease A Rare Case Report

  Cor triatriatum is an acyanotic congenital heart disease. We present a rare case of cor triatriatum sinistrum in a 6-month-old female infant who was presented with cyanosis and failure to thrive. The 2D transthoracic echocardiography and the Doppler color flow imaging showed a proximal venous chamber communicating to the distal left atrium  through restrictive opening to the low-pressure, dis...

Harnessing Crowds and Experts for Semantic Annotation of the Qur'an

In this paper we illustrate how we harness the power of crowds and specialized experts through automated knowledge acquisition workflows for semantic annotation in specialized and knowledge intensive domains. We undertake the special case of the Arabic script of the Qur’an, a widely studied manuscript, and apply a hybrid methodology of traditional ’crowdsourcing’ augmented with ’expertsourcing’...