The Semi Structured knowledge questionnaire consisted of
Understanding health care provider barriers to hospital affiliated medical fitness center facility referral: a questionnaire survey and semi structured interviews
... referral semi- structured interview guide included for reference Add- itional file ...and semi-structured interviews were conducted resulting in a final n = ...barriers, knowledge, ...
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Tables as Semi structured Knowledge for Question Answering
... 7 Conclusions We have presented tables as knowledge bases for question answering. We explored a connected framework in which tables are first used to guide the creation of MCQ data with alignment infor- mation to ...
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Validating knowledge creation indicators for the software industry: a field research through a structured questionnaire
... monitoring knowledge creation within the software ...a structured questionnaire was managed by twelve software project managers ...KM knowledge creation indicators toward to the software ...of ...
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Attribute Relation Extraction from Template inconsistent Semi structured Text by Leveraging Site level Knowledge
... from semi- structured text with consistent templates (strict ...in semi-structured text are inconsis- tent (weak semi-text), these methods will work ...level knowledge for ...
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Mining Semi-Structured Online Knowledge Bases to Answer Natural Language Questions on Community QA Websites
... the knowledge-base values are also verbose, the question will partially match many different values and there will likely be multiple sql queries capable of retrieving the ...
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Compositional Semantic Parsing on Semi Structured Tables
... Abstract Two important aspects of semantic pars- ing for question answering are the breadth of the knowledge source and the depth of logical compositionality. While existing work trades off one aspect for another, ...
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Using causal mapping in the analysis of semi-structured interviews
... 27 make the interviewer’s influence more visible as the interviewer’s proposed links and statements can be distinguished visually in the maps. Thus, causal mapping is a flexible method which can be adopted in different ...
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Automatic ontology learning from semi-structured data
... as knowledge database, from which they can learn. The knowledge sources rely on creation of concepts describ- ing different real-world entities and linking them together which is known as learning ...
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Collectively Representing Semi Structured Data from the Web
... In semi-supervised transductive learning, a few en- tities of each class are labeled, and learning method extrapolates these labels to a larger number of un- labeled data ...NELL Knowledge Base (Carlson et ...
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Data Access over Large Semi-Structured Databases
... and Knowledge bases Analysis" would realize such task of translat- ing information from one encoding to another in a to- tally transparent manner for the user, using First Order Logic as intermediary ...
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Guide to Organizing Semi-Structured Interviews With Key Informants
... If a respondent has difficulty identifying safety problems, the interviewer can give some examples, but without suggesting any answers (see Appendix 4). The third section of the sample plan is aimed at CONCLUDING the ...
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Collectively Representing Semi-Structured Data from the Web
... In semi-supervised transductive learning, a few en- tities of each class are labeled, and learning method extrapolates these labels to a larger number of un- labeled data ...NELL Knowledge Base (Carlson et ...
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Incremental Knowledge Acquisition Approach for Information Extraction on both Semi Structured and Unstructured Text from the Open Domain Web
... from semi- structured text has been studied only for limited domain sources due to its hetero- geneous ...both semi- structured and unstructured text in open domain Web ...incremental ...
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Knowledge Discovery and Data Mining. Structured vs. Non-Structured Data
... • Structured data is often referred to as traditional data, while the semi-structured and unstructured data are lumped together as non-traditional data.. • Most of the current data mi[r] ...
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Structured and Semi-Structured Data Integration
... The bucket algorithm, presented in [65], is actually a query rewriting algorithm that is proved to be sound and complete with respect to the problem of answering user queries (under a fi[r] ...
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A Semi-Structured Structured Tailoring-Driven Approach for ERP Selection
... a semi-structured approach for ERP system selection that differs from existing models in that it has a more holistic focus by simultaneously 1) considering the anticipated fitness of ERP solutions after the ...
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A Semi-Structured Structured Tailoring-Driven Approach for ERP Selection
... a semi-structured approach for ERP system selection that has a more holistic focus by simultaneously evaluating candidate products according to both functional and non-functional requirements and ...
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Querying distributed heterogeneous structured and semi-structured data sources
... 6.3 T h e Q u ery T ran slation p rocess T he Q uery P ro cesso r (Q P ) co m p o n en t is an im p o rtan t p art o f the m ed iatio n layer o f the SISSD system . Its task is the tran slatio n o f m aster q u eries th ...
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Structured Investing Risk Assessment Questionnaire
... Limitations: Please note that the suggested asset allocations within this Questionnaire depend on subjective factors such as your risk tolerance and financial situation. The results should be considered along with ...
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SeeMe in a nutshell the semi-structured, sociotechnical
... the semi-structured, socio- technical Modeling Method Thomas Herrmann This introduction explains the basis concepts of the modeling notation SeeMe (semi-structured, socio-technical Modeling ...
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