Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleAugust 2024
Image Similarity Using an Ensemble of Context-Sensitive Models
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 1758–1769https://doi.org/10.1145/3637528.3672004Image similarity has been extensively studied in computer vision. In recent years, machine-learned models have shown their ability to encode more semantics than traditional multivariate metrics. However, in labelling semantic similarity, assigning a ...
- research-articleJanuary 2021
A computational semantic information retrieval model for Vietnamese texts
International Journal of Computational Science and Engineering (IJCSE), Volume 24, Issue 3Pages 301–311https://doi.org/10.1504/ijcse.2021.115657Semantic information retrieval system for text documents aims at retrieving text documents containing the similar semantic representation to the query. Semantic representation of text can be vector or dependency graph depending on the approach of semantic ...
- abstractApril 2018
On improving ROCK-based clustering for categorical data: student research abstract
SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied ComputingPages 499–500https://doi.org/10.1145/3167132.3167445In the field of data mining, the analysis of categorical data (i.e., data that can assume a limited number of values, such as names) is particularly challenging due to the lack of implicit geometrical properties. Clustering of categorical data is ...
- research-articleOctober 2017
Calculating LWM2M resource semantic distance through SENACT ontology
IoT '17: Proceedings of the Seventh International Conference on the Internet of ThingsArticle No.: 12, Pages 1–8https://doi.org/10.1145/3131542.3131555The concept of Internet of Things (IoT) envisions that any type of device should be able to be connected in any type of environment. Due to the heterogeneity of the scenarios where IoT is applied, the capability discovery and dynamic relationship ...
- research-articleAugust 2017
A path-based model for emotion abstraction on facebook using sentiment analysis and taxonomy knowledge
WI '17: Proceedings of the International Conference on Web IntelligencePages 947–952https://doi.org/10.1145/3106426.3109420Each term in a short text can potentially convey emotional meaning. Facebook comments and shared posts often convey human biases, which play a pivotal role in information spreading and content consumption. Such bias is at the basis of human-generated ...
-
- research-articleMay 2016
Aesthetic Appeal and Visual Usability in Four Icon Design Eras
CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing SystemsPages 4390–4400https://doi.org/10.1145/2858036.2858462Technological artefacts express time periods in their visual design. Due time, visual culture changes and thus affects the design of pictorial representations in technological products, such as icons in user interfaces. Previous research of temporal ...
- research-articleMay 2016Honorable Mention
An EEG-based Approach for Evaluating Graphic Icons from the Perspective of Semantic Distance
CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing SystemsPages 4378–4389https://doi.org/10.1145/2858036.2858133Graphic icons play an increasingly important role in interface design due to the proliferation of digital devices in recent years. Their ability to express information in a universal fashion allows us to immediately interact with new applications, ...
- research-articleApril 2016
Gold standard based evaluation of ontology learning techniques
SAC '16: Proceedings of the 31st Annual ACM Symposium on Applied ComputingPages 339–346https://doi.org/10.1145/2851613.2851843A growing attention has been paid to the ontology learning domain. This is due to its importance for overcoming the limits of manual ontology building. Thus, ontology evaluation becomes crucial and very much-needed in order to select the best performing ...
- short-paperOctober 2015
Collaborative Filtering Based on Semantic Distance Among Items
WebMedia '15: Proceedings of the 21st Brazilian Symposium on Multimedia and the WebPages 53–56https://doi.org/10.1145/2820426.2820466This paper proposes a new method to compute the semantic distance among items in collaborative filtering based on k-nearest neighbors. This approach predicts the rating that a user u would give to an item i calculating the similarity between i and other ...
- research-articleJune 2015
Recognition improvement through the optimisation of learning instances
Image recognition based on machine learning has been widely utilised in the computer vision field. In the image recognition process, quite a few positive and negative instances are needed for effective machine learning. However, some invalid instances ...
- research-articleMay 2015
Question Classification by Approximating Semantics
WWW '15 Companion: Proceedings of the 24th International Conference on World Wide WebPages 407–417https://doi.org/10.1145/2740908.2745403A central task of computational linguistics is to decide if two pieces of texts have similar meanings. Ideally, this depends on an intuitive notion of semantic distance. While this semantic distance is most likely undefinable and uncomputable, in ...
- articleSeptember 2014
A trust model based on semantic distance for pervasive environments
Security and Communication Networks (SACN), Volume 7, Issue 9Pages 1322–1330https://doi.org/10.1002/sec.789To cope with the challenges existing in pervasive environments, based on the characteristics of pervasive environments, a semantic distance-based trust model is proposed in this paper. The semantic distance between entities and between trust categories ...
- ArticleDecember 2013
Algorithm Research about Textual Case Retrieval Based on Topic Words
ISCC-C '13: Proceedings of the 2013 International Conference on Information Science and Cloud Computing CompanionPages 875–880https://doi.org/10.1109/ISCC-C.2013.35Several shortages of Boolean retrieval, such as ignorance of the semantic relations among words and inability to rank the retrieval results in order of importance, are found by analyzing the essence of traditional text retrieval, in view of which an ...
- ArticleOctober 2013
Research on Knowledge Visualization Based on Semantic Relation
ISCID '13: Proceedings of the 2013 Sixth International Symposium on Computational Intelligence and Design - Volume 01Pages 19–22https://doi.org/10.1109/ISCID.2013.12At first this paper analyzes the current shortcomings of knowledge visualization. Then we propose a new method based semantic distance according to the user's interest and different importance of the concepts in a knowledge map. Thus the user's ...
- research-articleJuly 2013
Distributional phrasal paraphrase generation for statistical machine translation
ACM Transactions on Intelligent Systems and Technology (TIST), Volume 4, Issue 3Article No.: 39, Pages 1–32https://doi.org/10.1145/2483669.2483672Paraphrase generation has been shown useful for various natural language processing tasks, including statistical machine translation. A commonly used method for paraphrase generation is pivoting [Callison-Burch et al. 2006], which benefits from ...
- ArticleNovember 2012
Using Information Content to Evaluate Semantic Similarity on HowNet
CIS '12: Proceedings of the 2012 Eighth International Conference on Computational Intelligence and SecurityPages 142–145https://doi.org/10.1109/CIS.2012.39Evaluating Semantic similarity has a widely application areas range from Psychology, Linguistics, Cognitive Science to Artificial Intelligence. This paper proposes the merely use of HowNet to evaluate Information Content (IC) as the semantic similarity ...
- ArticleNovember 2012
Study of Concept Similarity Algorithm between Steel Ontologies
WCSE '12: Proceedings of the 2012 Third World Congress on Software EngineeringPages 19–22https://doi.org/10.1109/WCSE.2012.12Concepts similarity calculation is the basis for ontology mapping. Vocabulary, meaning of the word, property and instance of concepts are the important facts when calculating concepts similarity. All the facts above are combined and a composite method ...
- research-articleJanuary 2012
Automatic creation and refinement of the clusters of pharmacovigilance terms
IHI '12: Proceedings of the 2nd ACM SIGHIT International Health Informatics SymposiumPages 181–190https://doi.org/10.1145/2110363.2110386Pharmacovigilance is the activity related to the collection, analysis and prevention of adverse drug reactions (ADRs) induced by drugs or biologics. The detection of adverse drug reactions is performed thanks to statistical algorithms and to groupings ...
- ArticleNovember 2010
dbrec: music recommendations using DBpedia
ISWC'10: Proceedings of the 9th international semantic web conference on The semantic web - Volume Part IIPages 209–224This paper describes the theoretical background and the implementation of dbrec, a music recommendation system built on top of DBpedia, offering recommendations for more than 39,000 bands and solo artists. We discuss the various challenges and lessons ...
- ArticleOctober 2010
The Research on Concept Semantic Similarity Computing Based on Semantic Tree
IPTC '10: Proceedings of the 2010 International Symposium on Intelligence Information Processing and Trusted ComputingPages 324–327https://doi.org/10.1109/IPTC.2010.43The concept semantic similarity computation has vast application in the question answering system field, semantic similarity is becoming the basis of semantic expansion in the question answering system, and influences the recall rate and precision rate ...