{"title":"Cognitive-Based Multi-document Summarization Approach","authors":"Jingqiang Chen, Wei Li","doi":"10.1109/SKG.2013.39","DOIUrl":"https://doi.org/10.1109/SKG.2013.39","url":null,"abstract":"Automatic text summarization is an important and useful research area in natural language processing and information retrieval. Most of current approaches for text summarization do not make full use of human reading process. This paper proposes a multi-document scanning mechanism by simulating human reading process. The mechanism simulates human memory of words, association between words and three cognitive processes invoked when reading. Changes of human memory of topic words in reading process are used to denote sentences' significance, based on which sentences are then ordered and extracted to form a summary. Experiments on DUC2007 test data show that our proposing method is efficient and outperforms two baseline methods.","PeriodicalId":368828,"journal":{"name":"2013 Ninth International Conference on Semantics, Knowledge and Grids","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124876163","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}
Charith Perera, A. Zaslavsky, M. Compton, P. Christen, Dimitrios Georgakopoulos
{"title":"Semantic-Driven Configuration of Internet of Things Middleware","authors":"Charith Perera, A. Zaslavsky, M. Compton, P. Christen, Dimitrios Georgakopoulos","doi":"10.1109/SKG.2013.9","DOIUrl":"https://doi.org/10.1109/SKG.2013.9","url":null,"abstract":"We are currently observing emerging solutions to enable the Internet of Things (IoT). Efficient and feature rich IoT middeware platforms are key enablers for IoT. However, due to complexity, most of these middleware platforms are designed to be used by IT experts. In this paper, we propose a semantics-driven model that allows non-IT experts (e.g. plant scientist, city planner) to configure IoT middleware components easier and faster. Such tools allow them to retrieve the data they want without knowing the underlying technical details of the sensors and the data processing components. We propose a Context Aware Sensor Configuration Model (CASCoM) to address the challenge of automated context-aware configuration of filtering, fusion, and reasoning mechanisms in IoT middleware according to the problems at hand. We incorporate semantic technologies in solving the above challenges. We demonstrate the feasibility and the scalability of our approach through a prototype implementation based on an IoT middleware called Global Sensor Networks (GSN), though our model can be generalized into any other middleware platform. We evaluate CASCoM in agriculture domain and measure both performance in terms of usability and computational complexity.","PeriodicalId":368828,"journal":{"name":"2013 Ninth International Conference on Semantics, Knowledge and Grids","volume":"15 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127051305","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}