Kutzner, T., Donaubauer, A.: Critical Remarks on the Use of Conceptual Schemas in Geospatial Data Modelling - A Schema Translation Perspective. In: Gensel, J., Josselin, D., Vandenbroucke, D. (Hrsg.), Bridging the Geographic Information Sciences, International AGILE'2012 Conference, S. 43...
R.Gernert, N.Greif; “Modelling of Complex Objects and Semantic Integrity Constraints in Product Databases”; Informatik Informationem — Report No.2/1990; Berlin 1990. Google Scholar N.Gehani, H.V.Jagadish, “Ode as an Active Database: Constraints and Triggers”, Proc. of the 17th VLDB ...
Other functionality is included in extensions. Extensions do one or more of the following: they extend the data model, specify new serialisations, specify mappings/crosswalks to other paradigms/formats, specify additional functionality, define a particular modelling strategy following some vocabulary. The...
In my previous post called “How to drop tables database wide using T-SQL” I’ve explained that how we could delete all tables database wide in SQL Server. But, what if there are some other schemas other than “dbo” and some tables that are created in those schemas? If we just de...
This paper discusses constructional variation in the domain of contrastive negation in English, using data from the British National Corpus. Contrastive negation refers to constructs with two parts, one negative and the other affirmative, such that the affirmative offers an alternative to the negative ...
for a first data source, or file, having a plurality of elements, and for each of the plurality of elements of the data model determining whether the element of the data model is present in the first data source, or file; and in the event that each element in the data model is identi...
A database is analyzed either in its entirety, or in part by using a sample of the database as a representative portion of the database as a whole. Common attributes within the database may be identified, ranked and displayed to a user through one or more of various visualizations. In ...
A database is analyzed either in its entirety, or in part by using a sample of the database as a representative portion of the database as a whole. Common attributes within the database may be identified, ranked and displayed to a user through one or more of various visualizations. In ...
A database is analyzed either in its entirety, or in part by using a sample of the database as a representative portion of the database as a whole. Common attributes within the database may be identified, ranked and displayed to a user through one or more of various visualizations. In ...
Keywords: Multi-schema learning · Crowdsourcing · Annotations · Behavioural characterisation · Probabilistic modelling · Data wrangling 1 Introduction Machine learning is based on learning from examples [2]. This often requires human annotations, e.g. class labels for image classes in ImageNet [...