According to the TCA, fertility behavior is the result of an interaction between a unique set of social circumstances (e.g., normative expectations and structural factors) and schemas, which are mental structures that the human brain uses to represent the surrounding world and to process information.
For AgreementMaker, because of the data lake lacks structural information in schemas, we use only the first layer, which represents features of schema elements (labels, comments, instances, etc). in TF.IDF vectors and compares their similarities using the cosine similarity metric or some string-based measures (such as edit distance and substrings).
This goodness or measurement of the quality of a structural or relational schema design follows the procedures of checking data redundancy and data dependency features extensively [110].
This chapter discusses database's structural elements by reviewing schemas and the permanent base tables that are created within them.
The quality of a multidimensional schema (and/or a data warehouse) was extensively addressed in the literature on data warehousing, particularly through metrics defined in terms of the structural elements of the schemas (cf. [38, 39]) and through sets of constraints defined at the model level.
This index is created from a set of logical structures called Virtual Documents, which capture and exploit the implicit structural relationships (semantics) depicted in the schemas of the structured and semi-structured data sources.
Large-scale searching for multi-database schema information is guided by a combination of lexical, structural and semantic aspects of schema terms in order to reveal more meaning both about the contents of an information term and about its placement within the distributed information space.
UML class diagrams capture the structural aspects found in database schemas.
However, for the BDI Ontology system, since there is no easy solution for structural heterogeneities in the source schemas, it is impossible to execute the query directly.
On the other hand, starting from the data sources [8, 14, 16, 31], the bottom-up approach ensures that the resulting multidimensional schema is loadable and respects the conformity constraints; however, it does not guarantee the structural well-formedness of the schema nor the satisfaction of decision makers' needs.
