Towards a Sensorimotor WordNet: Closing the Semantic Gap1
نویسندگان
چکیده
We have empirically discovered that the space of human actions has a grammatical structure. This is a motoric space consisting of the evolution of the joint angles of the human body in movement. Furthermore, the process of assembling individual human movements into higher level descriptions resembles in a natural sense the process of speech recognition. Thus the space of human activity has its own phonemes, morphemes, words (verbs, nouns, adjectives, adverbs), and sentences formed by its own syntax. This has a number of implications for the grounding problem and cognition in general. With regard to WordNet, the theory points to a future Sensorimotor WordNet which contains a map between the nodes of the current WordNet and the space consisting of human action. In this paper, we suggest initial steps towards closing the semantic gap by grounding language with visuomotor information. The grounding takes place on a set of primitive words which are selected here through verb classification of the WordNet lexicon. A formal approach to the identification of primitive words would consider the basic atoms of WordNet extensions. However, one further extension is required to incorporate grounded information into WordNet in the direction of a sensorimotor WordNet, designated here as WordNet. Introduction
منابع مشابه
Towards a Sensorimotor WordNetSM: Closing the Semantic Gap
We have empirically discovered that the space of human actions has a grammatical structure. This is a motoric space consisting of the evolution of the joint angles of the human body in movement. Furthermore, the process of assembling individual human movements into higher level descriptions resembles in a natural sense the process of speech recognition. Thus the space of human activity has its ...
متن کاملAutomatic Construction of Persian ICT WordNet using Princeton WordNet
WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical relations. WordNet is essentially used for word sense disambiguation, information retrieval, and text translation. In this paper, we propose s...
متن کاملQuery Architecture Expansion in Web Using Fuzzy Multi Domain Ontology
Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...
متن کاملTowards the Automatic Creation of a Wordnet from a Term-Based Lexical Network
The work described here aims to create a wordnet automatically from a semantic network based on terms. So, a clustering procedure is ran over a synonymy network, in order to obtain synsets. Then, the term arguments of each relational triple are assigned to the latter, originating a wordnet. Experiments towards our goal are reported and their results validated.
متن کاملAn Improved Semantic Schema Matching Approach
Schema matching is a critical step in many applications, such as data warehouse loading, Online Analytical Process (OLAP), Data mining, semantic web [2] and schema integration. This task is defined for finding the semantic correspondences between elements of two schemas. Recently, schema matching has found considerable interest in both research and practice. In this paper, we present a new impr...
متن کامل