An Efficient Approach for Measuring Semantic Similarity Combining WordNet and Wikipedia

Li, Fēi; Liao, Lejian; Zhang, Lanfang; Zhu, Xinhua; Zhang, Bo; Wang, Zheng

doi:10.1109/access.2020.3025611

Cited by 17 publications

(13 citation statements)

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“…Therefore, it is very suitable for the measurement of positional semantics involving a large number of noun forms. 27 Definition 3 (semantic similarity 28 ). It represents a metric that measures the degree of similarity of the semantics of different locations.…”

Section: Relevant Definitionmentioning

confidence: 99%

Research on privacy protection of dummy location interference for Location-Based Service location

2022

International Journal of Distributed Sensor Networks

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Location privacy refers to the individual private and sensitive location information involved in the user’s access to location services. Achieving location privacy protection has become a hot topic of research. However, existing location privacy protection schemes are susceptible to background knowledge attack, edge information attack, and homogeneity attack, on the one hand, and strict constraint on the number of neighbors, on the other hand. To address these deficiencies, a dummy location interference privacy protection algorithm for Location-Based Service location is proposed. To begin with, the dummy location candidate set is constructed based on using WordNet structure to guarantee semantic differentiation, randomly selecting offset location, and conforming to probability similarity; next, the dummy location set is filtered out by discretizing dummy locations based on the Heron formula; finally, the secure anonymity set is constructed according to the anonymity level. Experiments show that the algorithm enhances the privacy protection strength and improves the security of location privacy. Meanwhile, the communication volume and time overhead are reduced and the practicality is boosted by taking into account the sparse and dense environment of location points.

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Section: Relevant Definitionmentioning

confidence: 99%

Research on privacy protection of dummy location interference for Location-Based Service location

2022

International Journal of Distributed Sensor Networks

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“…WordNet is a large synonyms semantic dictionary based on cognitive linguistics and is designed and realized by psychologists, linguisticians and computer engineers in Princeton University [35]. It can be widely used for text classification [45] and semantic similarity calculation [46]. WordNet, in our CQACD system, is used to provide more semantic interpretation for student inputs based on BCKO ontology.…”

Section: Wordnetmentioning

confidence: 99%

“…where synonyms (j, i) declares that the words j and i are synonyms in WordNet. Simnoun (j, i) represents the similarity between nouns j and i in WordNet, we employ an efficient path computing model proposed by Li et al [46] for measuring the semantic similarity between nouns in WordNet. PathLen (j, i) represents the shortest path length between verbs j and i in WordNet.…”

Section: Semantic Similarity-based Matching Inferencementioning

confidence: 99%

CQACD: A Concept Question-Answering System for Intelligent Tutoring Using a Domain Ontology With Rich Semantics

Zhu

Zhang

2022

IEEE Access

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In this study, a Concept Question Answering system applied to the Computer Domain (CQACD) for intelligent tutoring is proposed. This system is a dialogue-based Intelligent Tutoring System (ITS) that allows the tutor and student with mixed-initiative and natural language to ask each other questions concerning the basic computer knowledge in the Computer Basics course. CQACD is based on constructivist principles and encourages the learner to construct knowledge rather than merely receiving knowledge, which has the following characteristics: (a) this system employs a domain ontology with rich semantic relationships to model the basic computer knowledge and build up a concept-centric knowledge model, (b) uses a limited number of 80 input templates with description logics to acquire the intention of questions posed by students, (c) a textual entailment algorithm with semantic technologies is proposed to match the input template and assess the student's contribution to improve the flexibility of the system, and (d) an ontology-driven dialogue management mechanism is proposed, which can quickly form the conversational content and conversational sequence. The experimental results show that CQACD can replace the teachers' tutoring in large classes and can promote the learning of poor students in large classes better than teachers can. The paper reveals that the domain ontology with rich semantic relationships plays an important role in the Concept Question Answer System (CQAS). It can model CQAS's discipline knowledge, provide structured domain knowledge for student model, template design and matching, and provide basic architectural architecture for dialogue management.

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“…In the literature, there is a significant amount of works addressing semantic similarity [11], [12]. With the advent of Wikipedia, the most widely used and up-to-date knowledge repository, several approaches have been proposed by exploiting its features, such as articles, hyperlinks, categories, etc.. (see for instance [22], [25], [27], [31]). As mentioned above, semantic similarity is a special case of semantic relatedness [28].…”

Section: Related Workmentioning

confidence: 99%

“…However, building domain specific taxonomies is not a simple task, because it requires a specific background knowledge and a significant amount of effort from domain experts. Therefore, in many cases, it is preferable to adopt general purpose and widely accepted taxonomies (e.g., WordNet [31]), which do not rely on specific perspectives.…”

Section: Introductionmentioning

confidence: 99%

An Enriched Information-Theoretic Definition of Semantic Similarity in a Taxonomy

Formica

Taglino

2021

IEEE Access

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This paper addresses the notion of semantic similarity between concepts organized according to a taxonomy, based on the well-known information content approach. This approach has been widely experimented in the literature over the years and, in general, outperforms other proposals which do not originate from it. However, it shows some limitations related to the notion of generic sense of a concept. In this paper we illustrate the problem arising by using the traditional approach, and a novel informationtheoretic definition of semantic similarity in a taxonomy is proposed which also takes into account the intended sense of a concept in a given context. This proposal has been applied to some among the most representative state-of-the-art similarity measures based on the information content approach, and the experiment shows that it achieves very high correlation values with human judgment.

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An Efficient Approach for Measuring Semantic Similarity Combining WordNet and Wikipedia

Cited by 17 publications

References 40 publications

Research on privacy protection of dummy location interference for Location-Based Service location

Research on privacy protection of dummy location interference for Location-Based Service location

CQACD: A Concept Question-Answering System for Intelligent Tutoring Using a Domain Ontology With Rich Semantics

An Enriched Information-Theoretic Definition of Semantic Similarity in a Taxonomy

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