The RDFa Content Editor - From WYSIWYG to WYSIWYM

Khalili, Ali; Auer, Sören; Hladky, Daniel

doi:10.1109/compsac.2012.72

Cited by 27 publications

(19 citation statements)

References 21 publications

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“…Semantic documents facilitate a number of important aspects of information management [15]. For search and retrieval, they provide more efficient and effective search interfaces, such as faceted search [16] or question answering [17].…”

Section: Semantic Content Authoringmentioning

confidence: 99%

Semantic Medical Prescriptions -- Towards Intelligent and Interoperable Medical Prescriptions

Khalili

Sedaghati

2013

2013 IEEE Seventh International Conference on Semantic Computing

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Abstract-Medication errors are the most common type of medical errors in health-care domain. The use of electronic prescribing systems (e-prescribing) have resulted in significant reductions in such errors. However, dealing with the heterogeneity of available information sources is still one of the main challenges of e-prescription systems. There already exists different sources of information addressing different aspects of pharmaceutical research (e.g. chemical, pharmacological and pharmaceutical drug data, clinical trials, approved prescription drugs, drugs activity against drug targets. etc.). Handling these dynamic pieces of information within current e-prescription systems without bridging the existing pharmaceutical information islands is a cumbersome task. In this paper we present semantic medical prescriptions which are intelligent e-prescription documents enriched by dynamic drug-related meta-data thereby know about their content and the possible interactions. Semantic prescriptions provide an interoperable interface which helps patients, physicians, pharmacists, researchers, pharmaceutical and insurance companies to collaboratively improve the quality of pharmaceutical services by facilitating the process of shared decision making. In order to showcase the applicability of semantic prescriptions we present an application called Pharmer. Pharmer employs datasets such as DBpedia, DrugBank, DailyMed and RxNorm to automatically detect the drugs in the prescriptions and to collect multidimensional data on them. We evaluate the feasibility of the Pharmer by conducting a usability evaluation and report on the quantitative and qualitative results of our survey.

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Section: Semantic Content Authoringmentioning

confidence: 99%

Semantic Medical Prescriptions -- Towards Intelligent and Interoperable Medical Prescriptions

Khalili

Sedaghati

2013

2013 IEEE Seventh International Conference on Semantic Computing

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“…Ultimately, this might yield a boost in precision and recall for com-mon NLP tasks. Some first evidence in that direction is provided by tools such as RDFaCE [20], Spotlight and Fox, 9 which already combine the output from several backend services and achieve superior results.…”

Section: Natural Language Processingmentioning

confidence: 99%

TowardsWeb-Scale Collaborative Knowledge Extraction

Hellmann

Auer

2013

The People’s Web Meets NLP

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While the Web of Data, the Web of Documents and Natural Language Processing are well researched individual fields, approaches to combine all three are fragmented and not yet well aligned. This chapter analyzes current efforts in collaborative knowledge extraction to uncover connection points between the three fields. The special focus is on three prominent RDF data sets (DBpedia, LinkedGeoData and Wiktionary2RDF), which allow users to influence the knowledge extraction process by adding another crowd-sourced layer on top. The recently published NLP Interchange Format (NIF) provides a way to annotate textual resources on the Web through the assignment of URIs with fragment identifiers. We will show how this formalism can easily be extended to encompass new annotation layers and vocabularies.

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“…For example, in a medical context there may be one ontology for general metadata about a patient and other technical ontologies that deal with diagnosis and treatment. SCA systems need to be able to support multiple ontologies [66,9,26,47,1,57,19,42,6,32]. In a generic SCA system, the user interface must be completely decoupled from the ontological models.…”

Section: Generalizabilitymentioning

confidence: 99%

“…A few studies ( [19,9,51,1,31]) were also using the Discussion method together with an example application. A very few ones ( [7,32]) used Interview and Questionnaire methods for UI evaluation. Other papers were either survey papers or the papers which only mentioned some user interface features and did not provide any UI evaluation method.…”

Section: User Interface Evaluationmentioning

confidence: 99%

“…p Table 3 shows the list of tools discussed in our primary studies. The following tools were described in the primary studies: OntoWiki [6], SAHA [19], OWiki [15], SemCards [63], DataPress [7], RDFaCE [32], Loomp [42], Semantic MediaWiki [29], SweetWiki [9], Information Workbench [43], RDFAuthor [64], FLERSA [47], LinkedBlog [57], SemiBlog [45], HayStack semantic blogging [31], Reflect [51], Ontos-feeder [35], Epiphany [1], Linkator [3], Tabulator [8].…”

Section: Quality Attributes Dependenciesmentioning

confidence: 99%

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