300 research outputs found
Expressiveness within Sequence Datalog
No full textMotivated by old and new applications, we investigate Datalog as a language for sequence databases. We reconsider classical features of Datalog programs, such as negation, recursion, intermediate predicates, and relations of higher arities. We also consider new features that are useful for sequences, notably, equations between path expressions, and "packing". Our goal is to clarify the relative expressiveness of all these different features, in the context of sequences. Towards our goal, we establish a number of redundancy and primitivity results, showing that certain features can, or cannot , be expressed in terms of other features. These results paint a complete picture of the expressiveness relationships among all possible Sequence Datalog fragments that can be formed using the six features that we consider.Heba Aamer is supported by the Special Research Fund (BOF) (BOF19OWB16). Jan Van den Bussche is also partially supported by the National Natural Science Foundations of China (61972455
Expressiveness within Sequence Datalog
No full textMotivated by old and new applications, we investigate Datalog as a language for sequence databases. We reconsider classical features of Datalog programs, such as negation, recursion, intermediate predicates, and relations of higher arities. We also consider new features that are useful for sequences, notably, equations between path expressions, and "packing". Our goal is to clarify the relative expressiveness of all these different features, in the context of sequences. Towards our goal, we establish a number of redundancy and primitivity results, showing that certain features can, or cannot, be expressed in terms of other features. These results paint a complete picture of the expressiveness relationships among all possible Sequence Datalog fragments that can be formed using the six features that we consider
The quest for know-how, know-why, know-what and know-who: using KAOS for enterprise modelling
No full textWhile the field of information systems engineering is largely focussed on developing methods for complex problems and larger enterprises, less is done to specifically address the needs of smaller organizations like small and medium sized enterprises (SMEs), although they are important drivers of economy. These needs include a better understanding of the processes (know- how), why things are done (know-why), what concepts are used (know-what) and who is responsible (know-who). In this paper, the KAOS approach is evaluated as not only useful for developing software projects, but with the potential to be used for developing a business architecture or enterprise model. An example of KAOS is given, by way of illustration, and KAOS was applied in a case study by an SME’s CEO, which resulted in a set of questions for further research
A Rule Engine for Relevance Assessment in a Contextualized Information Delivery System
No full textHu B, Hidders J, Cimiano P. A Rule Engine for Relevance Assessment in a Contextualized Information Delivery System. Presented at the International Conference on Intelligent User Interfaces (IUI2011)
Towards Context-based Information Delivery to Police Officers: A Questionnaire-based Requirements Elicitation Study
No full textHu B, Hidders J, Cimiano P. Towards Context-based Information Delivery to Police Officers: A Questionnaire-based Requirements Elicitation Study. Presented at the 7th International Conference on Information Systems for Crisis Response and Management (ISCRAM2010)
A Rule-based System for Contextualized Information Delivery
No full textHu B, Hidders J, Cimiano P. A Rule-based System for Contextualized Information Delivery. In: Proceedings of the 8th International Conference on Information Systems for Crisis Response and Management (ISCRAM2011). 2011
A Structural Approach to Indexing Triples
No full textAs an essential part of the W3C’s semantic web stack and linked data initiative, RDF data management systems (also known as triplestores) have drawn a lot of research attention. The majority of these systems use value-based indexes (e.g., B + -trees) for physical storage, and ignore many of the structural aspects present in RDF graphs. Structural indexes, on the other hand, have been successfully applied in XML and semi-structured data management to exploit structural graph information in query processing. In those settings, a structural index groups nodes in a graph based on some equivalence criterion, for example, indistinguishability with respect to some query workload (usually XPath). Motivated by this body of work, we have started the SAINT-DB project to study and develop a native RDF management system based on structural indexes. In this paper we present a principled framework for designing and using RDF structural indexes for practical fragments of SPARQL, based on recent formal structural characterizations of these fragments. We then explain how structural indexes can be incorporated in a typical query processing workflow; and discuss the design, implementation, and initial empirical evaluation of our approach
Regional Health Information Exchange (RHIE)
No full textHealth Information Exchange (HIE) is a term used to describe the sharing of health information electronically among two or more entities. These entities are mostly organizations, which provide health services to their clients (the patients) and also enable the sharing of electronic health information. The exchange of medical data takes place primarily between different medical departments within the same health organization. This happens most of the time through an Electronic Health Records (EHR) system within the organization, but also across the organizational borders on the regional level (through Regional Health Information Systems, RHIS) or across the country (National EHR). The previous efforts of the national EHR system in the Netherlands (L-EPD) had a top-down approach, based on the national architecture (i.e. AORTA). The top-down implementation of the national EHR in the Netherlands, as evidenced by the opinion of a number of Dutch experts in the field, has caused several resistance among GPs, medical specialists, patients and several other interest groups. The upcoming stakeholder analysis also reveals severe problems in this regard. Requirements analysis in a bottom-up fashion can be a practical remedy to this problem. Following this perspective, the present research tries to specify some of the viewpoints of the most important stakeholders, including the users of RHIS. It describes the functional and non-functional requirements for the regional health information exchange in the Netherlands. These requirements are based on two different questionnaires, which were designed and further conducted by the author among the primary users (i.e. medical staff) and secondary users (i.e. patients) in 2012. In addition, the interviews with several RHIS experts (representatives of almost 50% of all Dutch hospitals) and an extensive document analysis of an EHR vendor of hospital information systems revealed several constraints and complementary requirements. The primary contribution of this research is the identification and thorough analysis of the most important stakeholders, involved in the field of health information systems, their viewpoints and the existing problems with RHIS. Furthermore, it is one of first attempts to translate these findings into important usecases, real-case scenarios and a set of business goals, areas of concern and requirements. The outcomes of the research indicate that future works in this field should focus on a bottom-up approach towards gathering more specific informatio and adapting the general requirements found in this research to particular cases and contexts of use.IA / Web Information SystemsComputer Science (Information Architecture)Electrical Engineering, Mathematics and Computer Scienc
PwC Tesla
No full textA search engine developed using Django, Haystack and Solr.Software and Computer TechnologyElectrical Engineering, Mathematics and Computer Scienc
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