Applying the LOT Methodology to a Public Bus Transport Ontology aligned with Transmodel: Challenges and Results

We present an ontology that describes the domain of Public Transport by bus, which is common in cities around the world. This ontology is aligned to Transmodel, a reference model which is available as a UML specification and which was developed to foster interoperability of data about transport systems across Europe. The alignment with this non-ontological resource required the adaptation of the Linked Open Terms (LOT) methodology, which has been used by our team as the methodological framework for the development of many ontologies used for the publication of open city data. The ontology is structured into three main modules: (1) agencies, operators and the lines that they manage, (2) lines, routes, stops and journey patterns, and (3) planned vehicle journeys with their timetables and service calendars. Besides reusing Transmodel concepts, the ontology also reuses common ontology design patterns from GeoSPARQL and the SOSA ontology. As part of the LOT data-driven validation stage, RDF data has been generated taking as input the GTFS feeds (General Transit Feed Specification) provided by the Madrid public bus transport provider (EMT). Mapping rules from structured data sources to RDF were developed using the RDF Mapping Language (RML) to generate RDF data, and queries corresponding to competency questions were tested.

Implementation of mappings between the description logic and the binary relational data model on the RDF level

This paper is dedicated to the data integration problem. In article the task of practical implementation of mappings between description logic and a binary relational data model is discussed. This method was formulated earlier at a theoretical level. A practical technique to test mapping engines using RDF is provided in the current paper. To transform the constructs of the description logic ALC and its main extensions into RDF triplets the OWL 2-to-RDF mappings are used. To convert RDB to RDF graph, the R2R Mapping Language (R2R ML) was chosen. The mappings DL ALC and its main extensions to the RDF triplets are described in the publication. The mapping of the DL axioms into an RDF triplet also is considered in the publication. The main difficulties in describing DL-to-RDF transformations are given in the corresponding section. For each constructor of concepts and roles a corresponding expression in OWL 2 and its mapping into the RDF triplet. A schematic representation of the resulting RDF graph for each mapping is created. The paper also provides an overview of existing methods that relate to the use of RDF when mapping RDB to ontology and vice versa.

Epilepsy, Functional, and Pain Neurosurgery

This chapter covers several aspects of the management of seizures and epilepsy relevant to a general neurosurgical practice. First, all candidates should know how to manage a patient presenting with a new-onset seizure or in status epilepticus with a brain lesion or after a craniotomy. Second, they are expected to be able to explain how to perform fundamental epilepsy procedures such as a temporal lobectomy for hippocampal sclerosis or resection of an epileptogenic lesion. Third, it is useful to have a clear process in place for mapping language and motor function for the resection of tumors located in the eloquent cortex. Lastly, the thought process behind developing an appropriate plan for the surgical management of movement disorders and the technical nuances of managing such cases are discussed. Historically, surgery for pain has been a large part of general neurosurgical practice. A variety of destructive and decompressive interventions have been developed over the years, and a number of comprehensive textbooks have summarized neurosurgical involvement with management of all kinds of medically refractory pain syndromes. It is included in the core neurosurgical education curriculum and is an integral part of neurosurgical knowledge that is tested during the oral board examination. Not surprisingly, cases involving complex pain conditions that require neurosurgical interventions may show up during examinations, and it is expected that examinees are comfortable performing these interventions and able to discuss indications, surgical details, outcomes and complications. Cases include trigeminal neuralgia, cordotomy versus morphine pain pump for cancer pain and a spinal cord stimulator.