An interesting research topic, that was largely left untouched involves the automatic selection of schema matchers to an ensemble, a set of schema matchers.
Recent research has produced growing evidence for the role of cognitive factors (e.g., automatic thoughts, dysfunctional schemas, attribution bias) in the onset and maintenance of depression (e.g., Abramson et al., 2002).
Lee et al. [1] proposed an automatic Sql-to-NoSQL schema transformation using MySQL and HBase as an example.
We introduce a schema enabling automatic checks of the validity of data stored as EpiJSON, which can serve as a basis for the development of additional tools.
The scale consist of 15 items that are rated on a 6-point Likert scale focusing on behavioral activation, automatic thought work, and schema or core belief work.
Interestingly, while the beliefs proposed in models of social phobia are characterized as enduring and theorized to lie dormant until activated when a social-evaluative situation is encountered, many of the measures developed to measure cognitions in social phobia tap more transient thought-like constructs (cf. schemas vs. automatic thoughts; Beck, Rush, Shaw, & Emery, 1979).
SemLinker takes a novel, automatic approach to handle the schema revolution problem.
When social conversation schema is activated, automatic social response impels users to assign social connotations to the interaction.
The EAV/CR framework, designed for database support of rapidly evolving scientific domains, utilizes metadata to facilitate schema maintenance and automatic generation of Web-enabled browsing interfaces to the data.
