Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)最新文献_第3页

Reducing search space for Web Service ranking using semantic logs and Semantic FP-Tree based association rule mining 使用语义日志和基于语义fp树的关联规则挖掘减少Web服务排名的搜索空间

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050771

M. O. Shafiq, R. Alhajj, J. Rokne

{"title":"Reducing search space for Web Service ranking using semantic logs and Semantic FP-Tree based association rule mining","authors":"M. O. Shafiq, R. Alhajj, J. Rokne","doi":"10.1109/ICOSC.2015.7050771","DOIUrl":"https://doi.org/10.1109/ICOSC.2015.7050771","url":null,"abstract":"Ranking and Adaptation (used interchangeably) is often carried out using functional and non-functional information of Web Services. Such approaches are dependent on heavy and rich semantic descriptions as well as unstructured and scattered information about any past interactions between clients and Web Services. Existing approaches are either found to be focusing on semantic modeling and representation only, or using data mining and machine learning based approaches on unstructured and raw data to perform discovery and ranking. We propose a novel approach to allow semantically empowered representation of logs during Web Service execution and then use such logs to perform ranking and adaptation of discovered Web Services. We have found that combining both approaches together into a hybrid approach would enable formal representation of Web Services data which would boost data mining as well as machine learning based solutions to process such data. We have built Semantic FP-Trees based technique to perform association rule learning on functional and non-functional characteristics of Web Services. The process of automated execution of Web Services is improved in two steps, i.e., (1) we provide semantically formalized logs that maintain well-structured and formalized information about past interactions of Services Consumers and Web Services, (2) we perform an extended association rule mining on semantically formalized logs to find out any possible correlations that can used to pre-filter Web Services and reduce search space during the process of automated ranking and adaptation of Web Services. We have conducted comprehensive evaluation to demonstrate the efficiency, effectiveness and usability of our proposed approach.","PeriodicalId":126701,"journal":{"name":"Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)","volume":"80 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":"114796438","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: 9

Semantic analysis of dialogs to detect social engineering attacks 对对话进行语义分析，以检测社会工程攻击

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050843

Ram Bhakta, I. Harris

{"title":"Semantic analysis of dialogs to detect social engineering attacks","authors":"Ram Bhakta, I. Harris","doi":"10.1109/ICOSC.2015.7050843","DOIUrl":"https://doi.org/10.1109/ICOSC.2015.7050843","url":null,"abstract":"Cyberattackers often attack the weakest point of system, which is increasingly the people who use and interact with a computer-based system. A great deal of research has been dedicated to protection of computer-based assets, but by exploiting human vulnerabilities, an attacker can circumvent many computer-based defenses. Phishing emails are a common form of social engineering attack, but the most effective attacks involve dialog between the attacker and the target. A robust approach to detecting a social engineering attack must be broadly applicable to a range of different attack vectors. We present an approach to detecting a social engineering attack which uses a pre-defined Topic Blacklist (TBL) to verify the discussion topics of each line of text generated by the potential attacker. If a line of text from the attacker involves a topic in the blacklist, an attack is detected and a warning message is generated. Our approach is generally applicable to any attack vector since it relies only on the dialog text. Our approach is robust in the presence of the incorrect grammar often used in casual English dialog. We have applied our approach to analyze the transcripts of several attack dialogs and we have achieved high detection accuracy and low false positive rates in our experiments.","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":"129839697","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: 33

An approximation of betweenness centrality for Social Networks 社交网络的中间性中心性近似

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050857

D. Ostrowski

引用次数: 8

Advisory services for user composition tools 用户组合工具的咨询服务

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050772

Kevin Nam, Ronald Taylor Locke, S. Yenson, K. Chang, Lars H. Fiedler

{"title":"Advisory services for user composition tools","authors":"Kevin Nam, Ronald Taylor Locke, S. Yenson, K. Chang, Lars H. Fiedler","doi":"10.1109/ICOSC.2015.7050772","DOIUrl":"https://doi.org/10.1109/ICOSC.2015.7050772","url":null,"abstract":"We have developed an ontology based framework that evaluates compatibility between processing modules within an end user development framework, using MIT Lincoln Laboratory's Composable Analytics environment [1] as a test case. In particular, we focus on inter-module semantic compatibility as well as compatibility between data and modules. Our framework includes a core ontology that provides an extendible vocabulary that can describe module attributes, module input and output requirements and preferences, and data characteristics that are pertinent to selecting appropriate modules in a given situation. Based on the ontological description of the modules and data, we first present a framework that takes a rule based approach in measuring semantic compatibility. Later, we extend the rule based approach to a flexible fuzzy logic based semantic compatibility evaluator. We have built an initial simulator to test module compatibility under varying situations. The simulator takes in the ontological description of the modules and data and calculates semantic compatibility. We believe the framework and simulation environment together will help both the developers test new modules they create as well as support end users in composing new capabilities. In this paper, we describe the details of the framework, the simulation environment, and our iterative process in developing the module ontology.","PeriodicalId":126701,"journal":{"name":"Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)","volume":"47 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":"130287053","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: 0

Generating formal hardware verification properties from Natural Language documentation 从自然语言文档生成正式的硬件验证属性

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050777

Christopher B. Harris, I. Harris

{"title":"Generating formal hardware verification properties from Natural Language documentation","authors":"Christopher B. Harris, I. Harris","doi":"10.1109/ICOSC.2015.7050777","DOIUrl":"https://doi.org/10.1109/ICOSC.2015.7050777","url":null,"abstract":"In the modern Application Specific Integrated Circuit (ASIC) design cycle, correctness properties for functional verification are usually created by an engineer whose task is to read the system documentation and manually generate a set of formal statements in the chosen verification language. This process is typical of the reason why up to 60% of engineering effort is spent on verification and test activities. We present a formal attribute grammar as the basis for a Natural Language based translation system which automatically generates syntactically correct verification properties in Computation Tree Logic (CTL) from Hardware Description Language (HDL) code comments written in English. The system is evaluated using verification information from an implementation of the PCI bus specification included in the Texas-97 Verification Benchmark suite and successfully translates English to valid CTL in 91% of test cases. The automatically generated CTL properties are compared to CTL properties included in the benchmark and model checking is used to determine the equivalency of generated and benchmark properties. While most generated properties are equivalent, some were found to include additional terms which result in CTL which more closely reflects designer intent.","PeriodicalId":126701,"journal":{"name":"Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)","volume":"70 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":"126558070","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

An analysis of scene change detection in HEVC bitstream HEVC码流中场景变化检测分析

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050854

Yumi Eom, Sang-il Park, Sunggeun Yoo, J. Choi, Sukhee Cho

引用次数: 6

Filtering technique for high speed database sequence comparison 高速数据库序列比较的过滤技术

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050781

Talal Bonny, B. Soudan

引用次数: 2

Using latent dirichlet allocation for topic modelling in twitter 基于潜在狄利克雷分配的twitter主题建模

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050858

D. Ostrowski

引用次数: 48

Pedagogical potentials of IEEE 802.11 WLAN to higher educational institutions: A case study of Nigerian based University IEEE 802.11无线局域网对高等教育机构的教学潜力:以尼日利亚大学为例

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050799

I. M. Hassan, H. Khan, Rami Zeitun, Ghassan H. Mardini

{"title":"Pedagogical potentials of IEEE 802.11 WLAN to higher educational institutions: A case study of Nigerian based University","authors":"I. M. Hassan, H. Khan, Rami Zeitun, Ghassan H. Mardini","doi":"10.1109/ICOSC.2015.7050799","DOIUrl":"https://doi.org/10.1109/ICOSC.2015.7050799","url":null,"abstract":"The research on `Pedagogical potentials of IEEE 802.11 WLAN to Nigerian based University' is an in depth study to evaluate the potentials of its implementation to the entire teaching and tutoring vertical in Nigerian universities. While conducting this research study, the campus did not have the facility of Wireless internet service. Researchers are to provide the WLAN-Wireless local area network service to support the communication protocol limiting to shorter distances within a definite range with aid of infrared signals and radio networks. For this study, data collection is made over two periods, i.e., first, at the time of launching WLAN in order to gain an overview of the academic performance of the students and in the second instance, after providing the training to use WLAN, at the end of the semester. This study is conducted over a period equivalent to one semester. The objective of this is to identify any improvements in the performance of the students and the teaching staff after the completion of the training. The key performance indicator `Academic outcome / Performance of students and attitude of faculty' on wireless internet in the campus is captured through the study and relevant statistical tools and techniques are applied to the data. The ascent in the academic outcome of students and the performance of the faculty is evident for the benefit of WLAN technology. This paper will cover the literature review and basic model of possible relationship between depend and independent variables of the research in detail.","PeriodicalId":126701,"journal":{"name":"Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)","volume":"60 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":"125871911","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: 15

T.R.A.F.F.I.C.: Transit response analysis for facilitating informed commuters T.R.A.F.F.I.C:交通响应分析，以方便知情的通勤者

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015) Pub Date : 2015-03-02 DOI: 10.1109/ICOSC.2015.7050856

Donna Thomas, Justin Lawrence, J. Rettig

引用次数: 0