{"title":"Text Categorization Based on Boosting Association Rules","authors":"Yongwook Yoon, G. G. Lee","doi":"10.1109/ICSC.2008.70","DOIUrl":"https://doi.org/10.1109/ICSC.2008.70","url":null,"abstract":"Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association rules were used in the prediction. We propose a new approach in which a large number of association rules are generated. Then, the rules are filtered using a new method which is equivalent to a deterministic Boosting algorithm. Through this equivalence, our approach effectively adapts to large-scale classification tasks such as text categorization. Experiments with various text collections show that our method achieves one of the best prediction performance compared with the state-of-the-arts of this field.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"126 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116704343","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":"ASKNet: Creating and Evaluating Large Scale Integrated Semantic Networks","authors":"Brian Harrington, S. Clark","doi":"10.1109/ICSC.2008.24","DOIUrl":"https://doi.org/10.1109/ICSC.2008.24","url":null,"abstract":"Extracting semantic information from multiple natural language sources and combining that information into a single unified resource is an important and fundamental goal for natural language processing. Large scale resources of this kind can be useful for a wide variety of tasks including question answering, word sense disambiguation and knowledge discovery. A single resource representing the information in multiple documents can provide significantly more semantic information than is available from the documents considered independently. In this paper we describe the ASKNet system, which extracts semantic information from a large number of English texts, and combines that information into a large scale semantic network using spreading activation based techniques. Evaluation of large-scale semantic networks is a difficult problem. In order to evaluate ASKNet we have developed a novel evaluation metric and applied it to networks created from randomly chosen DUC articles. The results are highly promising:almost 80% precision for the semantic core of the networks.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"266 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121119675","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":"Scalability in Semantic Computing: Semantic Middleware","authors":"Reto Krummenacher, E. Simperl, D. Fensel","doi":"10.1109/ICSC.2008.39","DOIUrl":"https://doi.org/10.1109/ICSC.2008.39","url":null,"abstract":"The World Wide Web is one of the ground-breaking achievements of modern computer science. The core technology, so simple to use, allows billions of users to publish, share and consume information from all over the world. The addition of so-called Web services that enable the remote execution of applications delivered a new dimension of communication, in particular in B2B and EAI systems. The same counts for the recent achievements around the Semantic Web. In this paper we present our work towards a scalable semantic middleware that further enables the integration, communication and coordination of billions of autonomous, distributed and heterogeneous service providers and consumers. Such middleware is the fundamental building block for the realization of Web services and the Semantic Web in the true Web sense: scalable, open and very simple to use.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121373704","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":"Semantics In Digital Photos: A Contenxtual Analysis","authors":"Pinaki Sinha, R. Jain","doi":"10.1142/S1793351X08000531","DOIUrl":"https://doi.org/10.1142/S1793351X08000531","url":null,"abstract":"Interpreting the semantics of an image is a hard problem. However, for storing and indexing large multimedia collections, it is essential to build systems that can automatically extract semantics from images. In this research we show how we can fuse content and context to extract semantics from digital photographs. Our experiments show that if we can properly model context associated with media, we can interpret semantics using only a part of high dimensional content data.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127116869","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":"Ontology-Based Security Policies for Supporting the Management of Web Service Business Processes","authors":"D. Garcia, M. D. Toledo","doi":"10.1109/ICSC.2008.35","DOIUrl":"https://doi.org/10.1109/ICSC.2008.35","url":null,"abstract":"Typically, in areas such as e-business and e-government, among others, Web services are used as basic components for building business processes. Participants in a business process may have different computational platforms that should interoperate in order to achieve the process goals. This interoperability is supported by the Web service technology. Thus, the importance of the technology is growing and its use in these areas demands security concern. However, the current approach for building processes from services, based on the Web Services Business Process Execution Language (WS-BPEL), does not consider security. This paper proposes an approach for building processes according to provider capabilities and consumer security requirements. These characteristics are expressed using Web Services Policy Framework (WS-Policy) policies and a Web Ontology Language (OWL) ontology. The main contribution of this paper is the use of semantics-enriched security policies for enriching Web service business processes.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126745828","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":"Entity Name System: The Back-Bone of an Open and Scalable Web of Data","authors":"P. Bouquet, Heiko Stoermer, C. Niederée, A. Maña","doi":"10.1109/ICSC.2008.37","DOIUrl":"https://doi.org/10.1109/ICSC.2008.37","url":null,"abstract":"Recognizing that information from different sources refers to the same (real world) entity is a crucial challenge in instance-level information integration, as it is a pre-requisite for combining the information about one entity from different sources. The required entity matching is time consuming and thus imposes a crucial limit for large-scale, dynamic information integration. An increased re-use of entity identifiers (or names) across different information collections such as RDF repositories, databases and document collections, eases this situation.In the ideal case, entity matching can be reduced to the trivial problem of spotting the same entity identifier in different information collections. In this paper we propose the use of an entity name system (ENS) - as it is currently under development in the EU-funded project OKKAM - for systematically supporting the re-use of entity identifiers. The main purpose of the ENS is to provide unique and uniform names for entities for the use in information collections, so that the same name is used for an entity, even when it is referenced in different contexts. Of course the creation of an ENS that can efficiently deal with entities on the Web scale raises scalability issues of its own. This paper focuses on the role of an ENS in contributing to the scalability of ad-hoc and on demand information integration tasks.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123818841","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":"On the Empirical Evaluation of Semantic Web Service Approaches: Towards Common SWS Test Collections","authors":"Ulrich Küster, B. König-Ries","doi":"10.1109/ICSC.2008.17","DOIUrl":"https://doi.org/10.1109/ICSC.2008.17","url":null,"abstract":"Semantic web services have received a significant amount of attention in the last years and many frameworks, algorithms and tools leveraging them have been proposed. Nevertheless surprisingly little effort has been put into the evaluation of the approaches so far. The main blocker of thorough evaluations is the lack of large and diverse test collections of semantic web services. In this paper we analyze requirements on such collections and shortcomings of the state of the art in this respect. Our contribution to overcoming those shortcomings is OPOSSum, a portal to support the community to build the necessary standard semantic web service test collections in a collaborative way.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121771201","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}
R. Glasberg, S. Schmiedeke, Martin Mocigemba, T. Sikora
{"title":"New Real-Time Approaches for Video-Genre-Classification Using High-Level Descriptors and a Set of Classifiers","authors":"R. Glasberg, S. Schmiedeke, Martin Mocigemba, T. Sikora","doi":"10.1109/ICSC.2008.92","DOIUrl":"https://doi.org/10.1109/ICSC.2008.92","url":null,"abstract":"In this paper we describe in detail the recent publications related to video-genre-classification and present our improved new approaches for classifying video sequences in real-time as 'cartoon', 'commercial', 'music', 'news' or 'sport' by analyzing the content with new high-level audio-visual descriptors and classification methods. Such applications have also been discussed in the context of MPEG-7. The results demonstrate identification rates of more than 90% based on a large representative collection of 100 videos gathered from free digital TV and Internet.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131601933","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":"Semantic-Based Fuzzy Reasoning for Compliance Auditing","authors":"F. Yip, A. K. K. Wong, N. Parameswaran, P. Ray","doi":"10.1109/ICSC.2008.64","DOIUrl":"https://doi.org/10.1109/ICSC.2008.64","url":null,"abstract":"Compliance Management (CM) is increasingly becoming a burden for many organizations due to its cumbersome and labor intensive process. As a result, many experts agree that compliance should be automated as much as possible. Recent efforts in agent based and semantic driven compliance management (CM) are being actively explored in an attempt to tackle challenges in compliance automation. Ontologies and semantic web rules are the fundamental and enabling tools that facilitate the application of compliance automation. In this paper, we discuss the challenges of compliance management, recap on a semantic-based approach discussed in our existing works and highlight the requirements for fuzzy support. Fuzzy extensions are then proposed to enhance the support for intelligent reasoning with uncertain and missing information through the use of Weighted Fuzzy Production Rules (WFPR) and Fuzzy Petri Nets (FPN).","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130890095","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}
R. Paul, I. Yen, F. Bastani, Jing Dong, W. Tsai, K. Kavi, A. Ghafoor, J. Srivastava
{"title":"An Ontology-Based Integrated Assessment Framework for High-Assurance Systems","authors":"R. Paul, I. Yen, F. Bastani, Jing Dong, W. Tsai, K. Kavi, A. Ghafoor, J. Srivastava","doi":"10.1109/ICSC.2008.46","DOIUrl":"https://doi.org/10.1109/ICSC.2008.46","url":null,"abstract":"High assurance systems have evolving requirements and, hence, the definition for assurance requirements should allow evolution. We recommend the use of ontology to capture such evolving requirements. In this paper, we introduce the concept of trustworthiness to include dependability and some additional high assurance attributes. We develop an ontology of trustworthiness aspects and an ontology of system entities. Based on these ontologies, a framework for trustworthiness assessment is constructed. This framework supports systematic and well guided trustworthy assessment from the individual system entities to the overall integrated system. It also offers the potential for automated trustworthiness assessment.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"267 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133353938","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}