Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)最新文献_第5页

SEMCON: Semantic and contextual objective metric SEMCON:语义和上下文的客观度量

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050779

Zenun Kastrati, Ali Shariq Imran, Sule YAYILGAN YILDIRIM

{"title":"SEMCON: Semantic and contextual objective metric","authors":"Zenun Kastrati, Ali Shariq Imran, Sule YAYILGAN YILDIRIM","doi":"10.1109/ICOSC.2015.7050779","DOIUrl":"https://doi.org/10.1109/ICOSC.2015.7050779","url":null,"abstract":"This paper proposes a new objective metric called the SEMCON to enrich existing concepts in domain ontologies for describing and organizing multimedia documents. The SEMCON model exploits the document contextually and semantically. The preprocessing module collects a document and partitions that into several passages. Then a morpho-syntatic analysis is performed on the partitioned passages and a list of nouns as part-of-speech (POS) is extracted. An observation matrix based on statistical features is then computed followed by computing the contextual score. The semantics is then incorporated by computing a semantic similarity score between two terms - term (noun) that is extracted from a document and term that already exists in the ontology as a concept Eventually, an overall objective score is computed by adding contextual score with semantic score. Subjective experiments are conducted to evaluate the performance of the SEMCON model. The model is compared with state-of-the-art tf*idf and χ2 (Chi square) using FI measure. The experimental results show that SEMCON achieved an improved accuracy of 10.64 % over the tf*idf and 13.04 % over the χ2.","PeriodicalId":126701,"journal":{"name":"Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131957904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

Enabling semantic technologies in publish and subscribe middleware 在发布和订阅中间件中启用语义技术

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050831

Norman Ahmed, Jason Bryant, G. Hasseler, M. Paulini

{"title":"Enabling semantic technologies in publish and subscribe middleware","authors":"Norman Ahmed, Jason Bryant, G. Hasseler, M. Paulini","doi":"10.1109/ICOSC.2015.7050831","DOIUrl":"https://doi.org/10.1109/ICOSC.2015.7050831","url":null,"abstract":"The Publish and Subscribe (pub/sub) dissemination paradigm has emerged as a popular means of disseminating time-sensitive or filtered information, usually in the form of middleware within the enterprise systems of Service-Oriented Architectures (SOA). Through the use of an event service, or broker, published information is disseminated only to the subscribers interested in that information. However, brokering semantically rich information, especially with resource constrained (e.g. limited memory, bandwidth, etc.) subscribers, has not yet been sufficiently explored. We present a service-oriented approach for enabling semantic technologies in pub/sub systems. We map the explicit client subscriptions to the semantic context of the published data, allowing implicit data to be disseminated to the subscriber while enforcing security policies across semantically related data. To illustrate, we show that semantic technologies not only enable semantically rich content sharing but contribute data reduction suitable for resource constrained clients and security policy enforcement capabilities.","PeriodicalId":126701,"journal":{"name":"Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116912150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A semantic-based approach for Machine Learning data analysis 基于语义的机器学习数据分析方法

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050828

A. Pinto, F. Scioscia, G. Loseto, M. Ruta, E. Bove, E. Sciascio

引用次数: 5

Analysis of complex network in international business literature 国际商务文献中的复杂网络分析

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050846

Da Huo, Yan Chen, Haibo Wang

引用次数: 0

A new competitive intelligence-based strategy for web page search 基于竞争情报的网页搜索新策略

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050789

I. Rasekh

引用次数: 4

MOOCLink: Building and utilizing linked data from Massive Open Online Courses MOOCLink:建立和利用大规模开放在线课程的关联数据

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050836

Sebastian Kagemann, S. Bansal

引用次数: 14

Personalized trip planning by integrating multimodal user-generated content 通过整合多模式用户生成内容的个性化旅行规划

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050837

O. Patri, Ketan Singh, Pedro A. Szekely, A. Panangadan, V. Prasanna

{"title":"Personalized trip planning by integrating multimodal user-generated content","authors":"O. Patri, Ketan Singh, Pedro A. Szekely, A. Panangadan, V. Prasanna","doi":"10.1109/ICOSC.2015.7050837","DOIUrl":"https://doi.org/10.1109/ICOSC.2015.7050837","url":null,"abstract":"We address the problem of record linkage and semantic integration in the context of large collections of user-generated content. These datasets are often large since it contains the contributions of millions of Internet users. We present an approach based on approximate string matching between the metadata associated with such data. The discovered linkages are stored in an ontology for answering queries on the integrated data sources. We demonstrate this approach in Photo Odyssey, an interactive web application which integrates multimodal content from image hosting and travel websites to create a user interface with a graphical trip plan and personalization options.We discuss several practical challenges faced in building such an application - integrating and mining large-scale multimodal user-generated data, resolving semantic heterogeneity, and machine learning for matching and ranking items. Photo Odyssey operates in an online manner without using any previously stored knowledge base. We also describe methods to compute relevance of images, remove bad data instances and duplicates, perform contextual filtering, and assign a category to uncatalogued images which enable an interactive application even on Big Data with real-world characteristics.","PeriodicalId":126701,"journal":{"name":"Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133995135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A semantic hot replication of self organization software platform Router 一个语义热复制的自组织软件平台路由器

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050802

C. Kim, Eung-Jong Lee, I. Jung

引用次数: 2

Corpus-based analysis of rhetorical relations: A study of lexical cues 基于语料库的修辞关系分析:词汇线索的研究

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050842

Taraneh Khazaei, Lu Xiao

引用次数: 10

Classification of text to subject using LDA 使用LDA对文本进行主题分类

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050791

Douglas A. Smith, Charles McManis

引用次数: 3