Global Journal of Computer Science and Technology, D: Neural & Artificial Intelligence, Volume 23 Issue 2

<Zafy_Albert > rdf:type <wordnet_president_110467179> <Zafy_Albert> <hasGender> <male> <Zafy_Albert > schema:birthDate <1927-05-01> <Zafy_Albert > schema:deathDate <2017-10-13> <Zafy_Albert > <isCitizenOf><Madagascar> . Implicit Translation We have to create a new prefix- tontoloMG - to permit any extensions and to associate new relations. This step is necessary if we want to incorporate translations into Malagasy in our ontology. The following relations will be used to indicate translation: - mg_classic: to associate a concept (entity, predicate, relation) with its translation into classic and official Malagasy. Example: President tontoloMG : mg_classic Filoha <isMarriedTo> tontoloMG : mg_classic ‘(dia) manambady an’i’ - mg_dialect: to associate a concept with its dialect-version. Example: Olona tontoloMG : mg _ dialect olo - mg_familiar. to associate a concept with colloquial language. Colloquial language may includeforeign words or words of foreign origin. Here are some examples : Boy tontoloMG: mg_familiar Kôfboay (from English: cow-boy) Money tontoloMG: mg_familiar Sôsy . Implicit Specification The mg_specific relation will allow us to introduce into our ontology concepts specific to the Malagasy culture. They are necessarily expressed in Malagasy. In the official Malagasy language, for example, thereis no single word to designate an uncle or an aunt. The Malagasy specifies: • If it is an uncle who is the eldest in the siblings, he is called dadatoa • If it is an uncle who is the youngest in the siblings, he is called dadafara • If it is an uncle who is somewhere inbetween, he is called dadanaivo In praxis however, certainly for simplicity, many people use familiar language which permit to call invariably an uncle Tonton (a French word). We would therefore write: Uncle tontoloMG:mg_specific Dadatoa |Dadanaivo| Dadafara Uncle tontoloMG:mg_familiar Tonton v. C onclusion This project was motivated by the obvious exclusion of emerging worlds by the new paradigms of AI because of the lack of massive data describing them. These worlds are actually just as old as the world known to AI. It's just that they have never been taken into account because they are not part of dominantcultures. Consequently, there is very little, if any, data that could be exploited by statistics for the purpose of making decisions or making predictions automatically. The approach we propose to remedy this lack iscognitive in nature and relies on knowledge engineering. We are experimenting it on the case of Malagasy culture. Our objective is to build a historical and cultural knowledge base in order to conserve and preserve the essence of Malagasy cultural identity. We therefore adopt YAGO, a state-of-the-art ontology, and exploit it to the limit of the possible to then customize it manually and complete it with specific concepts and facts. By doing so, we also facilitate the integration of the Malagasy universe into an already multicultural ontology. Another very important achievement is the potential for using our ontology as an instrument for the automatic production of corpora in Malagasy language. We are aware that over time, as automatic processing advances on these emerging worlds, new, more sophisticated needs will arise that will need to be solved by contemporary AI techniques. In the meantime, we will have time to massively produce data (through projects like this one) so that we can one day catch up with the bandwagon. We must see in this type of project a way to start the road, where there is nothing, to facilitate the integration of emerging worlds into the known world so they can finally be detected by the new AI. Conflicts of Interest The authors declare no conflicts of interest regarding the publication of this paper. © 2023 Global Journals Global Journal of Computer Science and Technology Volume XXIII Issue II Version I 6 ( ) Year 2023 D ii iii Guideline for Including Unperceivable Knowledge in a Universal Ontology Experimentation Field: Ontology Malagasy