scholarly journals A fuzzy extension of the XPath query language

2008 ◽  
Vol 33 (3) ◽  
pp. 285-305 ◽  
Author(s):  
Alessandro Campi ◽  
Ernesto Damiani ◽  
Sam Guinea ◽  
Stefania Marrara ◽  
Gabriella Pasi ◽  
...  
Keyword(s):  
Query Language ◽  
Xpath Query

scholarly journals Development of a Query Language for GML based on XPath

10.29007/hfk7 ◽  
2018 ◽  
Author(s):  
Jesus Almendros-Jimenez ◽  
Antonio Becerra-Teron ◽  
Francisco Garcia-Garcia
Keyword(s):  
Query Language ◽  
Syntactic Structure ◽  
Geographic Information ◽  
Semantic Structure ◽  
Markup Language ◽  
Standard Language ◽  
Geography Markup Language ◽  
Xpath Query

Geography Markup Language (GML) has been established as the standard language for the transport, storage and modelling of geographic information. In this paper we study how to adapt the XPath query language to GML documents. With this aim, we have defined a semantic based XPath language which is not based on the (tree-based) syntactic structure of GML documents, rather than, it is based on the “semantic structure” of GML documents. In order words, the proposed XPath language is based on the GML schema instead of the syntactic structure. We have developed a system called UALGIS, in order to implement the approach. Such system stores GML documents by means of the PostGIS RDBMS. In order to execute semantic-based XPath queries we have defined a translation of the queries into SQL. Such translation takes into account the GML schema. Finally, the system allows to visualize the result. With this aim, the results of a queries are exported to the Keyhole Markup Language (KML) format.

A Formal Language for XML Authorisations Based on Answer Set Programming and Temporal Interval Logic Constraints

2012 ◽  
pp. 138-160
Author(s):  
Sean Policarpio ◽  
Yan Zhang
Keyword(s):  
Formal Language ◽  
Query Language ◽  
Role Based Access Control ◽  
Temporal Interval ◽  
Security Breaches ◽  
Xml Document ◽  
Extensible Markup ◽  
Role Based ◽  
Interval Logic ◽  
Xpath Query

The Extensible Markup Language is susceptible to security breaches because it does not incorporate methods to protect the information it encodes. This work focuses on the development of a formal language that can provide role-based access control to information stored in XML formatted documents. This language has the capacity to reason whether access to an XML document should be allowed. The language, Axml(T), allows for the specification of authorisations on XML documents and distinguishes itself from other research with the inclusion of temporal interval reasoning and the XPath query language.

scholarly journals Elements of XPath-like languages in problems of constructing semantic XML models of natural language texts

2020 ◽  
pp. 29-41 ◽  
Author(s):  
Vladimir Viktorovich Pekunov
Keyword(s):  
Natural Language ◽  
Original Problem ◽  
Query Language ◽  
Source Text ◽  
Natural Language Parsing ◽  
Xml Document ◽  
The Subject ◽  
Weak Constraints ◽  
First Time ◽  
Xpath Query

The subject of the research is the possibility of using XPath-like micro-languages of programming in the generation systems of programs of the PGEN ++ class for the selection and completion of XML-models describing the plan for solving the original problem, according to which the solver program is generated. It is supposed to build such models according to the description of the problem in natural language, thus, we are talking about elements of artificial intelligence technologies. XPath-like language works in the layer of regular-logical expressions (highlighting elements of the primary XML document), performing primary processing of the data obtained in the layer of grammatical parsing of the source text. In addition, XPath-like elements are used to render the final XML models. The standard natural language parsing libraries are used. Non-standard XPath query language extensions are used. For the first time, the idea of expanding the XPath query language to the level of an algorithmic language by introducing the minimum required number of syntactic elements is proposed. It is also proposed to use syntactic elements with an XPath-like structure as both generating and controlling weak constraints of the process of direct inference of final semantic XML models.

scholarly journals A Fuzzy Extension for the XPath Query Language

2006 ◽  
pp. 210-221 ◽  
Author(s):  
Alessandro Campi ◽  
Sam Guinea ◽  
Paola Spoletini
Keyword(s):  
Query Language ◽  
Xpath Query

A Formal Language for XML Authorisations Based on Answer Set Programming and Temporal Interval Logic Constraints

2011 ◽  
Vol 2 (1) ◽  
pp. 22-39
Author(s):  
Sean Policarpio ◽  
Yan Zhang
Keyword(s):  
Formal Language ◽  
Query Language ◽  
Role Based Access Control ◽  
Temporal Interval ◽  
Security Breaches ◽  
Xml Document ◽  
Extensible Markup ◽  
Role Based ◽  
Interval Logic ◽  
Xpath Query

The Extensible Markup Language is susceptible to security breaches because it does not incorporate methods to protect the information it encodes. This work focuses on the development of a formal language that can provide role-based access control to information stored in XML formatted documents. This language has the capacity to reason whether access to an XML document should be allowed. The language, Axml(T), allows for the specification of authorisations on XML documents and distinguishes itself from other research with the inclusion of temporal interval reasoning and the XPath query language.

scholarly journals 4494 Predictors of Reintubation After Cardiac Surgery

2020 ◽  
Vol 4 (s1) ◽  
pp. 50-50
Author(s):  
Robert Edward Freundlich ◽  
Gen Li ◽  
Jonathan P Wanderer ◽  
Frederic T Billings ◽  
Henry Domenico ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Cardiac Surgery ◽  
High Risk ◽  
Query Language ◽  
Risk Estimation ◽  
Clinical Care ◽  
Model Development ◽  
Calibration Plot ◽  
Iterative Model ◽  
Strong Candidate

OBJECTIVES/GOALS: We modeled risk of reintubation within 48 hours of cardiac surgery using variables available in the electronic health record (EHR). This model will guide recruitment for a prospective, pragmatic clinical trial entirely embedded within the EHR among those at high risk of reintubation. METHODS/STUDY POPULATION: All adult patients admitted to the cardiac intensive care unit following cardiac surgery involving thoracotomy or sternotomy were eligible for inclusion. Data were obtained from operational and analytical databases integrated into the Epic EHR, as well as institutional and departmental-derived data warehouses, using structured query language. Variables were screened for inclusion in the model based on clinical relevance, availability in the EHR as structured data, and likelihood of timely documentation during routine clinical care, in the hopes of obtaining a maximally-pragmatic model. RESULTS/ANTICIPATED RESULTS: A total of 2325 patients met inclusion criteria between November 2, 2017 and November 2, 2019. Of these patients, 68.4% were male. Median age was 63.0. The primary outcome of reintubation occurred in 112/2325 (4.8%) of patients within 48 hours and 177/2325 (7.6%) at any point in the subsequent hospital encounter. Univariate screening and iterative model development revealed numerous strong candidate predictors (ANOVA plot, figure 1), resulting in a model with acceptable calibration (calibration plot, figure 2), c = 0.666. DISCUSSION/SIGNIFICANCE OF IMPACT: Reintubation is common after cardiac surgery. Risk factors are available in the EHR. We are integrating this model into the EHR to support real-time risk estimation and to recruit and randomize high-risk patients into a clinical trial comparing post-extubation high flow nasal cannula with usual care. CONFLICT OF INTEREST DESCRIPTION: REF has received grant funding and consulting fees from Medtronic for research on inpatient monitoring.

scholarly journals Query Rewriting for Incremental Continuous Query Evaluation in HIFUN

Algorithms ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 149
Author(s):  
Petros Zervoudakis ◽  
Haridimos Kondylakis ◽  
Nicolas Spyratos ◽  
Dimitris Plexousakis
Keyword(s):  
Query Optimization ◽  
Query Language ◽  
Computational Cost ◽  
Continuous Queries ◽  
Continuous Query ◽  
Query Rewriting ◽  
Query Evaluation ◽  
Clear Separation ◽  
Complete Dataset ◽  
High Level

HIFUN is a high-level query language for expressing analytic queries of big datasets, offering a clear separation between the conceptual layer, where analytic queries are defined independently of the nature and location of data, and the physical layer, where queries are evaluated. In this paper, we present a methodology based on the HIFUN language, and the corresponding algorithms for the incremental evaluation of continuous queries. In essence, our approach is able to process the most recent data batch by exploiting already computed information, without requiring the evaluation of the query over the complete dataset. We present the generic algorithm which we translated to both SQL and MapReduce using SPARK; it implements various query rewriting methods. We demonstrate the effectiveness of our approach in temrs of query answering efficiency. Finally, we show that by exploiting the formal query rewriting methods of HIFUN, we can further reduce the computational cost, adding another layer of query optimization to our implementation.

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