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Babelnet python7/31/2023 Visual concepts (visual perception, sight, colors, visibility, except spatial concepts). Transport, modes of transportation, transportation activities travels, trips, traveling, travelers, tourism. Tasks, chores, activities, jobs evaluation, validation, marking, checking, correcting.įabric, clothes, clothing, footwear, lifestyle, accessories, makeup, hairstyle, fashion, fashion designers. Sports, games and video games, recreation (pastimes, hobbies, etc.) The states of matter (solid, liquid, gas).Ĭoncepts of space and the sense of touch dimensionality, proprioception (sense of position and movement) and haptic perception. Sexual connotation sexual activities sexual reproduction sexology. Religions, faiths, beliefs, mysticism, mythological creatures, myths. Politics, political leaders and representatives government nobility.Ĭoncepts of possession items which tend to belong to people. Physics, physical measures and phenomena, matter, its motion and energy astronomical concepts, celestial objects, space, physical universe. Philosophical concepts, philosophers psychology, psychological concepts human behavior. Nautical and aviation concepts: vessels and aircrafts pilots sea and air traveling. Sound, sounds, hearing music, songs, music artists, composers dances, dancing, dancers. Mass media such as print media (news media, newspapers, magazines, etc.), publishing, photography, cinema (films, directors, screenwriters, etc.), broadcasting (radio and television), and advertising. Mathematics, statistics, numbers, mathematical operations and functions, mathematical and statistical concepts. Literature, authors, books, novels, poetry, plays, theatre. Laws, justice, judges, police, crimes, criminal minds and behaviors. Languages, linguistics, idiomatic expressions, phrases. Human health and medicine diseases, drugs and prescriptions physical, mental and social well-being.Įvents of the past occurred after the invention of writing systems (for prehistory, see archaeology). Geography and geographical concepts (continents, countries, regions, provinces, cities, towns, villages, rivers, hills, mountains, plains, etc.) geology and geological concepts (solid Earth, rocks, geological processes, earthquakes, volcanos, etc.) geophysics places. Natural environment and its preservation ecology natural events (fires, rains, typhoons, etc.) meteorology, weather conditions.įarming, agriculture plant cultivation, livestock raising fishing hunting.įood, drinks, flavors, sense of taste eating places (bars, pubs, restaurants), food events. except for music, dance, poetry, photography and theatre), architecture (construction, buildings, etc.), archaeology (sites, finds etc.), prehistory.īiology animals, plants and their classifications, microorganisms.īusiness, industry, economy, finance, management, money.Ĭhemistry, compounds, chemicals, minerals, mineralogy.Ĭommunication (oral, written, etc.) and telecommunication (telegraph, telephone, TV, radio, fax, Internet, etc.) means.Ĭomputer science, computing, hardware and software.Ĭrafts (handicraft, skilled work, etc.), engineering, technology.Ĭoncepts affecting local and global culture and society social behavior, trends, norms and expectations in human society anthropology.Įducation, teaching, students science and general scientific concepts (specific concepts go to the various domains: mathematics, physics, astronomy, biology, chemistry, geology, computing, etc.).įeelings, emotions, emotional states and reactions. CSKG and all its embeddings are made publicly available to support further research on commonsense knowledge integration and reasoning.Art (painting, visual arts, sculpture, etc. Moreover, we show the impact of CSKG as a source for reasoning evidence retrieval, and for pre-training language models for generalizable downstream reasoning. We perform analysis of CSKG and its various text and graph embeddings, showing that CSKG is a well-connected graph and that its embeddings provide a useful entry point to the graph. We apply these principles to combine seven key sources into a first integrated CommonSense Knowledge Graph (CSKG). In this paper, we propose to consolidate commonsense knowledge by following five principles. ![]() Yet, such integration is not trivial because of their different foci, modeling approaches, and sparse overlap. These sources contain complementary knowledge to each other, which makes their integration desired. ![]() Abstract: Sources of commonsense knowledge aim to support applications in natural language understanding, computer vision, and knowledge graphs.
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