|
Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Replacing sensors with text occurrences for commonsense knowledge acquisition.
| Title: | Replacing sensors with text occurrences for commonsense knowledge acquisition. |
| Authors: | Rzepka, Rafal Browse this author →KAKEN DB | | Araki, Kenji Browse this author | | Krawczyk, Marek Browse this author |
| Issue Date: | 25-Jul-2015 |
| Publisher: | IJCAI |
| Journal Title: | IJCAI 2015 Workshop on Cognitive Knowledge Acquisition and Applications (Cognitum 2015) |
| Abstract: | In this position paper we introduce our ideas for utilizing text corpus for supplementing or replacing sensing devices by word pairs occurrences in a blog corpus and we share results of preliminary experiments. We explain how simple web- mining and information retrieval techniques could help to acquire perceptional knowledge while collecting, processing and combining inputs from actual sensors is still technically difficult, expensive or simply impossible. By utilizing co-occurrences rankings of input nouns and five senses identifying words (mostly adjectives and onomatopoeias) we were able to discover physical characteristics of these nouns. Although the method is in early stage of development and the recall is low, achieved precision of 0.96 seems promising, especially if one needs to store acquired output in knowledge bases as ConceptNet. |
| Conference Name: | IJCAI 2015 Workshop on Cognitive Knowledge Acquisition and Applications (Cognitum 2015) |
| Conference Place: | Buenos Aires |
| Type: | proceedings |
| URI: | http://hdl.handle.net/2115/63636 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
|
Submitter: RZEPKA Rafal
|
