Yumi Jo, Munhyong Kim, Hyun-Jo You, Yoon-shin Kim, Seungho Nam, Hyopil Shin
{"title":"Problematic Set-Denoting Temporal Expressions in the Framework of ISO-TimeML","authors":"Yumi Jo, Munhyong Kim, Hyun-Jo You, Yoon-shin Kim, Seungho Nam, Hyopil Shin","doi":"10.1109/ICSC.2011.61","DOIUrl":"https://doi.org/10.1109/ICSC.2011.61","url":null,"abstract":"This study investigates how to represent set-denoting temporal expressions with ISO-Time ML, a state-of-the-art framework for representing time expressions. Specifically, we will show its limitations, caused by characteristics of TIMEX3, i) the freq attribute can not represent both the frequency of time points and the time granularity at the same time. ii) set expressions structurally containing another set expressions can not be annotated in the current framework. iii) value attribute can not contain values of complex set-denoting expressions. iv) there are set-expressions that have no set marker. These limitations reveal that TIMEX3 needs to be modified or extended to represent those problematic temporal expressions.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133633911","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}
{"title":"An Improved Profile-Based CF Scheme with Privacy","authors":"Alper Bilge, H. Polat","doi":"10.1109/ICSC.2011.20","DOIUrl":"https://doi.org/10.1109/ICSC.2011.20","url":null,"abstract":"Traditional collaborative filtering (CF) systems widely employing k-nearest neighbor (kNN) algorithms mostly attempt to alleviate the contemporary problem of information overload by generating personalized predictions for items that users might like. Unlike their popularity and extensive usage, they suffer from several problems. First, with increasing number of users and/or items, scalability becomes a challenge. Second, as the number of ratable items increases and number of ratings provided by each individual remains as a tiny fraction, CF systems suffer from sparsity problem. Third, many schemes fail to protect private data referred to as privacy problem. Due to such problems, accuracy and online performance become worse. In this paper, we propose two preprocessing schemes to overcome scalability and sparsity problems. First, we suggest using a novel content-based profiling of users to estimate similarities on a reduced data for better performance. Second, we propose pseudo-prediction protocol to help CF systems surmount sparsity. We finally propose to use randomization methods to preserve individual users' confidential data, where we show that our proposed preprocessing schemes can be applied to perturbed data. We analyze our schemes in terms of privacy. To investigate their effects on accuracy and performance, we perform real databased experiments. Empirical results demonstrate that our preprocessing schemes improve both performance and accuracy.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134224604","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}
{"title":"Audio Oracle Analysis of Musical Information Rate","authors":"S. Dubnov, G. Assayag, Arshia Cont","doi":"10.1109/ICSC.2011.106","DOIUrl":"https://doi.org/10.1109/ICSC.2011.106","url":null,"abstract":"This paper presents a method for analysis of changes in information contents in music based on an audio representation called Audio Oracle (AO). Using compression properties of AO we estimate the amount of information that passes between the past and the present at every instance in a musical signal. This formulation extends the notion of Information Rate (IR) to individual sequences and allows an optimal estimation of the AO threshold parameter. We show that changes in IR correspond to significant musical structures such as sections in a sonata form. Relation to musical perception and applications for composition and improvisation are discussed in the paper.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134484563","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}
Ajith Ranabahu, Priti P. Parikh, M. Panahiazar, A. Sheth, Flora J. Logan-Klumpler
{"title":"Kino: A Generic Document Management System for Biologists Using SA-REST and Faceted Search","authors":"Ajith Ranabahu, Priti P. Parikh, M. Panahiazar, A. Sheth, Flora J. Logan-Klumpler","doi":"10.1109/ICSC.2011.79","DOIUrl":"https://doi.org/10.1109/ICSC.2011.79","url":null,"abstract":"Document management has become an important consideration for the scientific community over the last decade. Human knowledge is central to many scientific domains, thus it is not possible to completely automate the document management process. Managing scientific documents require a semi-automatic approach to overcome issues of large volume, yet support the human participation in the process. In this paper we present Kino, a set of tools that streamline the document management process in life science domains. Kino is integrated with National Center for Biomedical On-to logy (NCBO), providing scientists access to quality domain models. Annotated documents are indexed using a faceted indexing and search engine that provides fine grained search capabilities to the scientists. We present two use cases that highlight the pain points in managing scientific literature and also include an empirical evaluation.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122085217","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}
{"title":"Contextual Augmentation of Ontology for Recognizing Sub-events","authors":"S. Rafatirad, R. Jain","doi":"10.1109/ICSC.2011.104","DOIUrl":"https://doi.org/10.1109/ICSC.2011.104","url":null,"abstract":"With the advances in technology and proliferation of cheap storage, high rate of digital multimedia interaction signifies the increasing need of computer users for a decent application to organize personal media in a meaningful way. In this paper, we want to organize personal media in terms of the sub-events they cover. A semantic gap exists between media, and people's perception of the events and memories associated with this media. A framework is needed to address such gap. This paper describes a novel model-based approach for partitioning and organizing personal photo archive in terms of high-level subevents that capture and represent human experience. Since photos are the most ubiquitous and prolific form of user generated content, we focus on the automatic annotation of personal photo collection in this paper. We introduce ROntology (Recognition-Ontology) that is a context-aware model with concrete contextual information for subevent recognition. Currently our approach utilizes the mereological, spatial and temporal properties of modeled-events in R-Ontology. Personal media will then populate R-Ontology. We tested this approach using our personal photo archive describing two different scenarios: Trip and Indianwedding.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129798249","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}
{"title":"Detecting New and Emerging Events from Textual Sources","authors":"Kirk Roberts, S. Harabagiu","doi":"10.1109/ICSC.2011.60","DOIUrl":"https://doi.org/10.1109/ICSC.2011.60","url":null,"abstract":"Recognizing new and emerging events in a stream of news documents requires understanding the semantic structure of news reported in natural language. New event detection (NED) is the task of recognizing when a news document discusses a completely novel event. To be successful at this task, we argue a NED method must extract and represent the type of event and its participants as well as the temporal and spatial properties of the event. Our NED methods produce a 25% cost reduction over a bag-of-words baseline and a 13% cost reduction over an existing state-of-the-art approach. Additionally, we discuss our method for recognizing emerging events: the tracking and categorization of unexpected or novel events.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123080771","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}
Pramod Jagtap, A. Joshi, Timothy W. Finin, R. Gutierrez
{"title":"Preserving Privacy in Context-Aware Systems","authors":"Pramod Jagtap, A. Joshi, Timothy W. Finin, R. Gutierrez","doi":"10.1109/ICSC.2011.87","DOIUrl":"https://doi.org/10.1109/ICSC.2011.87","url":null,"abstract":"Recent years have seen a confluence of two major trends -- the increase of mobile devices such as smart phones as the primary access point to networked information and the rise of social media platforms that connect people. Their convergence supports the emergence of a new class of context-aware geosocial networking applications. While existing systems focus mostly on location, our work centers on models for representing and reasoning about a more inclusive and higher-level notion of context, including the user's location and surroundings, the presence of other people and devices, and the inferred activities in which they are engaged. A key element of our work is the use of collaborative information sharing where devices share and integrate knowledge about their context. This introduces the need for privacy and security mechanisms. We present a framework to provide users with appropriate levels of privacy to protect the personal information their mobile devices are collecting, including the inferences that can be drawn from the information. We use Semantic Web technologies to specify high-level, declarative policies that describe user information sharing preferences. We have built a prototype system that aggregates information from a variety of sensors on the phone, online sources, and sources internal to the campus intranet, and infers the dynamic user context. We show how our policy framework can be effectively used to devise better privacy control mechanisms to control information flow between users in such dynamic mobile systems.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115237125","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}
{"title":"A Distributed Secure Ontology for Certified Services Oriented Applications","authors":"A. Maña, G. Pujol, C. Pandolfo","doi":"10.1109/ICSC.2011.105","DOIUrl":"https://doi.org/10.1109/ICSC.2011.105","url":null,"abstract":"Currently, SOAs are the major trend for large -- scale infrastructures and applications that are built from loosely -- coupled well -- separated services and that are subject to dynamic configuration, operation and evolution. Concretely, in open SOAs, trust becomes an essential element and certification of security properties offered by the services will be crucial. In SOAs systems, service consumers and providers need to exchange data in a flexible and consistent way, take into account cultural and language issues and consider data vulnerability and trust relationships. Ontologies have been largely used to support interoperability and recently, their use has been extended to address security. When ontologies are used in open systems, it is essential to provide adequate means to protect them, guaranteeing its authenticity, identifying the providers of the elements in the ontology. Taking into account the limitations of the current security mechanisms for ontologies of SOAs and in order to support the certification process addressed by ASSERT4SOA project (founded by FP7 of the European Union), we present in this paper a framework to define secure, distributed ontologies (SDOs) supporting system integration (data, information, and knowledge interoperability) in certified service environment.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115367258","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}
{"title":"Automatic Multilevel Temporal Video Structuring","authors":"Ruxandra Tapu, T. Zaharia","doi":"10.1109/ICSC.2011.39","DOIUrl":"https://doi.org/10.1109/ICSC.2011.39","url":null,"abstract":"In this paper we propose a novel and complete video scene segmentation framework, developed on different structural levels of analysis. Firstly, a shot boundary detection algorithm is introduced that extends the graph partition method with a nonlinear scale space filtering technique which increase the detection efficiency with gains of 7,4% to 9,8% in terms of both precision and recall rates. Secondly, static storyboards are formed based on a leap key frame extraction method that selects a variable number of key frames, adapted to the visual content variation, for each detected shot. Finally using the extracted key frames, spatio-temporal coherent shots are clustered into the same scene based on temporal constraints and with the help of a new concept of neutralized shots. Video scenes are obtained with average precision and recall rates of 86%.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130610283","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}
{"title":"iBookmarks: Synthesis and Execution of Web-Process Combinations","authors":"Sudhir Agarwal","doi":"10.1109/ICSC.2011.97","DOIUrl":"https://doi.org/10.1109/ICSC.2011.97","url":null,"abstract":"Consumption of business processes provided in form of Web sites have become a part of our daily life for attending our personal and business needs. In order to obtain the best solution for a particular task, users often combine several Web sites. However, currently the composition of Web sites, coordination of the execution of such Web sites compositions is done completely manually. In this paper, we present an approach that allows users to automatically compose generic solutions by combining appropriate Web sites and invoke the generic solutions with appropriate parameters whenever required, thus relieving them from a lot of manual coordination effort. We show how Web sites and their compositions can be formalized as processes, how the formal descriptions of Web sites can be automatically composed to obtain generic solutions and how such generic solution can be executed inside a common Web browser with automatic flow of data among different parties despite heterogeneous data.","PeriodicalId":408382,"journal":{"name":"2011 IEEE Fifth International Conference on Semantic Computing","volume":"32 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127176847","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}