In this study, we used a combination of string matching, entity matching, and co-authorship patterns to disambiguate unique authors (see Materials and Methods for details of these processes).
The gesture representation and matching entity has the purpose of converting the raw data obtained from the touchpad into a logic representation and providing the comparison and matching between different gestures.
This is done by using a simple rule language (SRL) motivated by DIAL (Feldman et al., 2001) with a capability to match entity classes, skipwords, string literals, regular expressions, entity types as well as guard lists.
There are different techniques for matching entities mentioned in the text to dictionary entries.
Also, it can be applied to research problems in other domains, such as semantically matching entities in different ontologies [ 8], or comparing online social networks with impacts on user privacy [ 9].
Network alignment has also strived in other domains as well, with applications such as semantically matching entities in different ontologies [ 8] or comparing online social networks with impacts on user privacy [ 9].
Furthermore, the cross-platform comparisons in all prior studies have been centered on gene name annotation, i.e. matching entities in comparison by gene symbol, Entrez Gene ID, or other gene identifiers.
The senescence and autophagy pathway is illustrated in Supplementary Figure 4, with all matched entities indicated.
Resource brokering is based on the Condor matchmaking mechanism, whereby job and resource attributes are expressed as ClassAds, with the attributes Requirements and Rank being used to define respectively the constraints and preferences that the matched entity must meet.
To build a brain region NER, the first and simplest approach is to match entities from a list of brain regions (lexical-based NER).
Keys are recursively defined, i.e., Q may include entities other than x to be identified (perhaps with other keys), in order to match entities with a graph structure.
