Man-machine collaboration to acquire cooking adaptation knowledge for the TAAABLE case-based reasoning system

Abstract

This paper shows how humans and machines can better collaborate to acquire adaptation knowledge (AK) in the framework of a case-based reasoning (CBR) system whose knowledge is encoded in a semantic wiki. Automatic processes like the CBR reasoning process itself, or specific tools for acquiring AK are integrated as wiki extensions. These tools and processes are combined on purpose to collect AK. Users are at the center of our approach, as they are in a classical wiki, but they will now benefit from automatic tools for helping them to feed the wiki. In particular, the CBR system, which is currently only a consumer for the knowledge encoded in the semantic wiki, will also be used for producing knowledge for the wiki. A use case in the domain of cooking is given to exemplify the man-machine collaboration.

Constructing Cooking Ontology for Live Streams

“…They propose to construct a domain ontology and extend query for different degrees of similarity. Several studies (Cordier et al 2012;Cordier et al 2009;Gaillard et al 2014) have extended this JColibriCook system. A notable example is the TAAABLE system, which evolved into wikiTAAABLE by Cordier et al (2009) and includes a semantic wiki for TAAABLE.…”

“…A notable example is the TAAABLE system, which evolved into wikiTAAABLE by Cordier et al (2009) and includes a semantic wiki for TAAABLE. Cordier et al (2012) then use WikiTaaable to include user feedback and incorporate another adaptation knowledge (AK) resource. Collectively, these studies help construct domain knowledge to promote a better understanding of cooking ontology.…”

The Proof is in the Pudding

“…There, the goal is to analyse a natural language recipe and extract a more abstract representation. The purpose of such extraction can be quite varied: aligning actions across recipes (Donatelli et al, 2021), recipe search (Yamakata et al, 2017), recipe recommendation and alteration (Cordier et al, 2014;Gaillard, Nauer, Lefevre, & Cordier, 2012;Gunamgari, Dandapat, & Choudhury, 2014); recipe comparison (Mori, Sasada, Yamakata, & Yoshino, 2012); instruction of robotic cooking assistants; or translation recipes from one natural language to another (Mori, Maeta, Yamakata, & Sasada, 2014). However, the representation systems themselves are more uniform.…”

“…A representation system in terms of states of affairs can be seen to be related to a long-standing philosophical debate on the logical and semantic properties of names, objects and descriptions. Introduced in its current form by Frege et al (1892), this debate is now well over 100 years old (French, Uehling, & Wettstein, 1979;Quine, 1948;Russell, 1905Russell, , 1910Searle, 1958). The central point has been to question what is indicated by using a name, whether names are essential and, if not, what they might be replaced with.…”