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Frederik Hogenboom, Michel Capelle, Marnix Moerland, Flavius Frasincar
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
Content-based news recommendation is traditionally performed using the cosine similarity and TF-IDF weighting scheme for terms occurring in news messages and user profiles.  ...  Hence, we extend SF-IDF by also considering the synset semantic relationships, and by employing named entity similarities using Bing page counts.  ...  We thank SARA Computing and Networking Services for their support in using the Lisa Computer Cluster.  ... 
doi:10.1145/2567948.2577310 dblp:conf/www/HogenboomCMF14 fatcat:ogysm5a2onh35mrfurm2ct5zd4

News Recommendation Using Semantics with the Bing-SF-IDF Approach [chapter]

Frederik Hogenboom, Michel Capelle, Marnix Moerland
2014 Lecture Notes in Computer Science  
Traditionally, content-based news recommendation is performed by means of the cosine similarity and the TF-IDF weighting scheme for terms occurring in news messages and user profiles.  ...  Hence, we extend SF-IDF by also employing named entity similarities using Bing page counts.  ...  Acknowledgment The authors are partially supported by the NWO Physical Sciences Free Competition project 612.001.009: Financial Events Recognition in News for Algorithmic Trading (FERNAT) and the Dutch  ... 
doi:10.1007/978-3-319-14139-8_18 fatcat:42da4kh7lnd27oxs5zwmsxvpdy

An ontology-based approach for semantics ranking of the web search engines results

Abdelkrim Bouramoul, Mohamed-Khireddine Kholladi, Bich-Lien Doan
2012 2012 International Conference on Multimedia Computing and Systems  
, Bing and Yahoo) offer an efficient way to browse the web content.  ...  This work falls in the areas of information retrieval and semantic web, and aims to improve the evaluation of web search tools.  ...  This can be done by extracting the query terms and their semantic projection using the WordNet ontology on the set of returned documents.  ... 
doi:10.1109/icmcs.2012.6320318 dblp:conf/icmcs2/BouramoulKD12 fatcat:mficeq3hlzet7m7abztfpuzs7y

Completing WordNets with Sememe Knowledge

Shengwen Li, Bing Li, Hong Yao, Shunping Zhou, Junjie Zhu, Zhuang Zeng
2021 Electronics  
To examine the performance of the proposed model, a new dataset connected to sememe knowledge and WordNet is constructed.  ...  To address the problem of inadequate word semantic knowledge of "new words", this study explores a novel method to automatically update the WordNet knowledge base by incorporating word-embedding techniques  ...  It suggests that the most similar words almost cover the semantic meanings of a word and provide the most semantic context for predicting the synsets of "new word".  ... 
doi:10.3390/electronics11010079 fatcat:abycqskywvgitfpabqlzjp5ro4

Collective Evolutionary Concept Distance Based Query Expansion for Effective Web Document Retrieval [chapter]

Clement H. C. Leung, Yuanxi Li, Alfredo Milani, Valentina Franzoni
2013 Lecture Notes in Computer Science  
The basic idea is to measure the distance between candidate concepts using the PMING distance, a collaborative semantic proximity measure, i.e. a measure which can be computed by using statistical results  ...  In this work several semantic approaches to concept-based query expansion and reranking schemes are studied and compared with different ontology-based expansion methods in web document search and retrieval  ...  EXPERIMENTAL RESULTS In the experimental phase, both WordNet and Bing search engine were used to extract a pool of candidate terms for the query expansion.  ... 
doi:10.1007/978-3-642-39649-6_47 fatcat:rynjcljgargilclw4faisfl7hq

SemanPhone: Combining Semantic and Phonetic Word Association in Verbal Learning Context

Lu Jiyan, Panos Kostakos, Mourad Oussalah, Susanna Pirttikangas
2018 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)  
This paper proposes an effective way to discover and memorize new English vocabulary based on both semantic and phonetic associations.  ...  The measurement of semantic association was achieved by calculating cosine similarity of two-word vectors, and the measurement of phonetic association was achieved by calculating the longest common subsequence  ...  ACKNOWLEDGMENTS This work is (partially) funded by the European Commission grant 770469-CUTLER and 645706-GRAGE  ... 
doi:10.1109/asonam.2018.8508827 dblp:conf/asunam/LuK0P18 fatcat:drkymctpovettpwdcfim2nmezy

A Novel Query Obfuscation Scheme with User Controlled Privacy and Personalization

Saraswathi Punagin, Arti Arya
2017 International Journal of Computer Applications  
This work supports complex queries and obfuscates them by adding a set of fake queries that are semantically related to the original query where both the semantic distance and the number of fake queries  ...  These search engines use the information provided by users, in terms of their search history to build their "user profiles".  ...  Response Time Evaluation A direct search on a WSE (Bing in our case), takes about 300ms. Searching for concepts in WordNet takes about 30ms.  ... 
doi:10.5120/ijca2017912733 fatcat:dmjaexloxncbddagammnija4ki

A concept analysis approach for guiding users in service discovery

Bipin Upadhyaya, Foutse Khomh, Ying Zou, Alex Lau, Joanna Ng
2012 2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA)  
To understand the semantic meanings of a user's query, we identify concepts behind the query and recommend related concepts associated with services.  ...  Web services are widely used as basic constructs to build complex distributed applications with fast speed and low cost.  ...  ., Google 1 and Bing 2 ) are used as new tools for discovering Web services [15] . Service descriptions usually reside in Web servers.  ... 
doi:10.1109/soca.2012.6449462 dblp:conf/soca/UpadhyayaKZLN12 fatcat:gx7sqt57nzhxno5oxlgmp46ztu

Ontology-based semantic clustering

Montserrat Batet
2011 AI Communications  
rights only for private uses placed in investigation and teaching activities.  ...  Reproduction with lucrative aims is not authorized neither its spreading and availability from a site foreign to the TDX service.  ...  Acknowledgements This work has been partially supported by the Spanish Ministry of Science and Innovation (DAMASK project, Data mining algorithms with semantic knowledge, TIN2009-11005) and the Spanish  ... 
doi:10.3233/aic-2011-0501 fatcat:anuhrvzepfezre6qkx5ryh3mam

Semantic Disambiguation and Contextualisation of Social Tags [chapter]

Ignacio Fernández-Tobías, Iván Cantador, Alejandro Bellogín
2012 Lecture Notes in Computer Science  
The analysis includes a comparison between semantic similarities obtained for pairs of tags in Delicious folksonomy, and their semantic distances in the whole Web, according to cooccurrence based metrics  ...  The framework is used for building contextualised tag-based user and item profiles.  ...  Acknowledgements This work was supported by the Spanish Ministry of Science and Innovation (TIN2008-06566-C04-02), and Universidad Autónoma de Madrid (CCG10-UAM/TIC-5877).  ... 
doi:10.1007/978-3-642-28509-7_18 fatcat:nuyzvvc7wrgkbmoh34fbb6g4eq

Prison Break: A Generic Schema Matching Solution to the Cloud Vendor Lock-in Problem

Mohammad Hamdaqa, Ladan Tahvildari
2014 2014 IEEE 8th International Symposium on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems  
However, schema matching typically relies on linguistic and structural similarities, and cloud schema terms diverge so much that such matching is impossible.  ...  Prison Break solves the divergent vocabulary problem by using web search results as a similarity metric, thus incorporating domain knowledge without constructing a dictionary, lexicon or thesaurus.  ...  comparisons: Name Similarity, and WordNet.  ... 
doi:10.1109/mesoca.2014.13 dblp:conf/mesoca/HamdaqaT14 fatcat:amteqnumvzhyhp7xtw2ehthztu

A framework for enriching lexical semantic resources with distributional semantics

2018 Natural Language Engineering  
While both kinds of semantic resources are available with high lexical coverage, our aligned resource combines the domain specificity and availability of contextual information from distributional models  ...  We present an approach to combining distributional semantic representations induced from text corpora with manually constructed lexical semantic networks.  ...  2014), we created an RDF representation to share the mapping between our PCZs and lexical knowledge graphs (i.e., WordNet and BabelNet) (see Section 6.3) in the Linked Open Data Cloud; iii) the types  ... 
doi:10.1017/s135132491700047x fatcat:z6acyjpzpvduzjvzmrrsddity4

Survey on Query Facets Mining Approaches

2017 International Journal of Science and Research (IJSR)  
This paper reviews techniques that represents interesting facets of a query using groups of semantically related terms extracted from search results along with approaches that are similar to query facets  ...  Query facets represents interesting facets of a query using groups of semantically related terms extracted from search results.  ...  Query Recommendation Query recommendation techniques generate alternative queries semantically similar to the original query [1] . Z. Zhang and O.  ... 
doi:10.21275/art20164225 fatcat:zrfcrqzlcja4hphg7ejj3gehpy

Semantic-Based Recommendation Method for Sport News Aggregation System [chapter]

Quang-Minh Nguyen, Thanh-Tam Nguyen, Tuan-Dung Cao
2016 Lecture Notes in Business Information Processing  
In this research, we propose a novel method for news recommendation based on a combination of semantic similarity with content similarity between news and implement it as a feature of semantic-based news  ...  Experimental results have shown that, a combination of both kind of similarity measures will result in better recommendation than when using either measure separately.  ...  and 𝛾 𝑐𝑜𝑛𝑡𝑒𝑛𝑡 are two parameters used when combining semantic similarity measure and content similarity measure between news items.  ... 
doi:10.1007/978-3-319-49944-4_3 fatcat:iq2yovzjvfgefdepfm7kza2e6q

Trust Evaluation using an Improved Context Similarity Measurement [article]

Mohsen Raeesi, Mohammad Amin Morid, Mehdi Shajari
2014 arXiv   pre-print
This limitation refers to inequality of semantic similarity in the most ontology trees. In other words, semantic similarity of every two adjacent nodes is unequal in these trees.  ...  In context-aware trust evaluation, using ontology tree is a popular approach to represent the relation between contexts. Usually, similarity between two contexts is computed using these trees.  ...  On the contrary, our proposed method decreases this drawback using semantic similarity of each parent and child nodes.  ... 
arXiv:1404.4592v1 fatcat:qiyfvnosgffh5jho6zcsdmxwti
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