http://www.bibsonomy.org/burst/user/iswc2007/approachBibSonomy BuRST Feed for /user/iswc2007/approach2008-10-07T18:39:30+02:00http://www.bibsonomy.org/bibtex/2f976edb8e4c6143bb2be1eda8dc0042f/iswc2007iswc20072007-11-07T19:19:06+01:00semantic 2007 finding workshop_om similarity iswc approach <span style="color:#555555;">TAKASHI <a href="http://www.bibsonomy.org/author/YAMAUCHI">YAMAUCHI</a> und Na-Yung <a href="http://www.bibsonomy.org/author/Yu">Yu</a> </span><em>Proceedings of the Workshop on Ontology Matching (OM2007) at ISWC/ASWC2007, Busan, South Korea, </em><em>November2007. </em>Wed Nov 07 19:19:06 CET 2007Proceedings of the Workshop on Ontology Matching (OM2007) at ISWC/ASWC2007, Busan, South Koreahttp://data.semanticweb.org/workshop/om/2007/proceedingsNovemberFinding Semantic Similarity in a Biological Domain: A Human-Centered Approach2007semantic 2007 finding workshop_om similarity iswc approach A behavioral study investigated how college students judge similarity between cell pictures. The study indicates that there is a strong tendency to rely on class-inclusion relations in judgments of similarity. This means that biological concepts are likely to be organized and conceptualized with respect to class-inclusion relations even for non-experts.http://www.bibsonomy.org/bibtex/2d5b0e5e17e93f6ccf95f6afaf678ad53/iswc2007iswc20072007-11-07T19:19:06+01:00extraction mapping iswc workshop_om 2007 approach <span style="color:#555555;">Christian <a href="http://www.bibsonomy.org/author/Meilicke">Meilicke</a> und Heiner <a href="http://www.bibsonomy.org/author/Stuckenschmidt">Stuckenschmidt</a> </span><em>Proceedings of the Workshop on Ontology Matching (OM2007) at ISWC/ASWC2007, Busan, South Korea, </em><em>November2007. </em>Wed Nov 07 19:19:06 CET 2007Proceedings of the Workshop on Ontology Matching (OM2007) at ISWC/ASWC2007, Busan, South Koreahttp://data.semanticweb.org/workshop/om/2007/proceedingsNovemberAnalyzing Mapping Extraction Approaches2007extraction mapping iswc workshop_om 2007 approach While lots of research in ontology matching is related to the issue of computing and refining similarity measures, only little attention has been paid to question how to extract the final alignment from a matrix of similarity values. In this paper we present a theoretical framework for describing extraction methods and argue that the quality of the final matching result is highly affected by the extraction method. Therefore, we discuss several extraction methods and apply them to some of the results submitted to the OAEI 2006. The results of our experimental study show that the proposed strategies differ with respect to precision and recall. In particular, theoretical considerations as well as emprirical results indicate that methods that additionally make use of information encoded in the ontologies result in better extractions compared to state of the art approaches.http://www.bibsonomy.org/bibtex/2e5087afa058f7f85ee1893e94dd4eaff/iswc2007iswc20072007-11-07T19:19:06+01:00mapping iswc approach workshop_om 2007 ontology <span style="color:#555555;">Colm <a href="http://www.bibsonomy.org/author/Conroy">Conroy</a> und Declan <a href="http://www.bibsonomy.org/author/O&#039;Sullivan">O'Sullivan</a> und Dave <a href="http://www.bibsonomy.org/author/Lewis">Lewis</a> </span><em>Proceedings of the Workshop on Ontology Matching (OM2007) at ISWC/ASWC2007, Busan, South Korea, </em><em>November2007. </em>Wed Nov 07 19:19:06 CET 2007Proceedings of the Workshop on Ontology Matching (OM2007) at ISWC/ASWC2007, Busan, South Koreahttp://data.semanticweb.org/workshop/om/2007/proceedingsNovemberA ‘Tagging’ Approach to Ontology Mapping2007mapping iswc approach workshop_om 2007 ontology The reasons for the lack of uptake of the semantic web amongst ordinary users can be attributed to technology perception, comprehensibility and ease of use. To address these three problems, we believe that the interfaces to ontology management tools will need to be engineered in such a way as they disappear into the background from the ordinary person’s perspective. The majority of the state of the art approaches to ontology mapping relies on the user being ontologically aware. In contrast, this paper reports upon an approach to use ‘tagging’ as a means of ontology mapping to support ordinary people.http://www.bibsonomy.org/bibtex/2ec26c3672e30425da1dbbeac957fea4c/iswc2007iswc20072007-11-07T19:17:05+01:00evaluation direction approach result ontology future collaborative 2007 iswc workshop_esoe work integrated <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Walter">Walter</a> und Andreas <a href="http://www.bibsonomy.org/author/Schmidt">Schmidt</a> und Simone <a href="http://www.bibsonomy.org/author/Braun">Braun</a> und Valentin <a href="http://www.bibsonomy.org/author/Zacharias">Zacharias</a> </span><em>Proceedings of the International Workshop on Emergent Semantics and Ontology Evolution (ESOE2007) at ISWC/ASWC2007, Busan, South Korea, </em><em>November2007. </em>Wed Nov 07 19:17:05 CET 2007Proceedings of the International Workshop on Emergent Semantics and Ontology Evolution (ESOE2007) at ISWC/ASWC2007, Busan, South Koreahttp://data.semanticweb.org/workshop/esoe/2007/proceedingsNovemberThe Ontology Maturing Approach for Collaborative and Work Integrated Ontology Development: Evaluation Results and Future Directions2007evaluation direction approach result ontology future collaborative 2007 iswc workshop_esoe work integrated Ontology maturing as a conceptual process model is based on the assumption that ontology engineering is a continuous collaborative and informal learning process and always embedded in tasks that make use of the ontology to be developed. For supporting ontology maturing, we need lightweight and easy-to-use tools integrating usage and construction processes of ontologies. Within two applications - ImageNotion for semantic annotation of images and SOBOLEO for semantically enriched social bookmarking - we have shown that such ontology maturing support is feasible with the help of Web 2.0 technologies. In this paper, we want to present the conclusions from two evaluation sessions with end users and summarize requirements for further development.http://www.bibsonomy.org/bibtex/242031598526676c9798f1210d9cf74cb/iswc2007iswc20072007-11-07T19:13:58+01:00approach research_13 data_management scalable semantic application_software datum hybrid web semantic_web ir query iswc 2007 <span style="color:#555555;">Lei <a href="http://www.bibsonomy.org/author/Zhang">Zhang</a> und QiaoLing <a href="http://www.bibsonomy.org/author/Liu">Liu</a> und Jie <a href="http://www.bibsonomy.org/author/Zhang">Zhang</a> und Haofen <a href="http://www.bibsonomy.org/author/Wang">Wang</a> und Yue <a href="http://www.bibsonomy.org/author/Pan">Pan</a> und Yong <a href="http://www.bibsonomy.org/author/Yu">Yu</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea, </em><em>Volume4825vonLNCS, </em><em>Seite645--658. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em><em>November2007. </em>Wed Nov 07 19:13:58 CET 2007Berlin, HeidelbergProceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Koreahttp://data.semanticweb.org/conference/iswc-aswc/2007/proceedingsNovember645--658LNCSSemplore: An IR Approach to Scalable Hybrid Query of Semantic Web Data48252007approach research_13 data_management scalable semantic application_software datum hybrid web semantic_web ir query iswc 2007 As an extension to the current Web, Semantic Web will not only contain structured data with machine understandable semantics but also textual information. While structured queries can be used to find information more precisely on the Semantic Web, keyword searches are still needed to help exploit textual information. It thus becomes very important that we can combine precise structured queries with imprecise keyword searches to have a hybrid query capability. In addition, due to the huge volume of information on the Semantic Web, the hybrid query must be processed in a very scalable way. In this paper, we define such a hybrid query capability that combines unary tree-shaped structured queries with keyword searches. We show how existing information retrieval (IR) index structures and functions can be reused to index semantic web data and its textual information, and how the hybrid query is evaluated on the index structure using IR engines in an efficient and scalable manner. We implemented this IR approach in an engine called Semplore. Comprehensive experiments on its performance show that it is a promising approach. It leads us to believe that it may be possible to evolve current web search engines to query and search the Semantic Web. Finally, we breifly describe how Semplore is used for searching Wikipedia and an IBM customer's product information.http://www.bibsonomy.org/bibtex/25af761051f5ee7543ac1606fbd91ea96/iswc2007iswc20072007-11-07T19:13:58+01:00fundamentals 2007 isparql approach research_03 iswc virtual triple task semantic web <span style="color:#555555;">Christoph <a href="http://www.bibsonomy.org/author/Kiefer">Kiefer</a> und Abraham <a href="http://www.bibsonomy.org/author/Bernstein">Bernstein</a> und Markus <a href="http://www.bibsonomy.org/author/Stocker">Stocker</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea, </em><em>Volume4825vonLNCS, </em><em>Seite295--308. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em><em>November2007. </em>Wed Nov 07 19:13:58 CET 2007Berlin, HeidelbergProceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Koreahttp://data.semanticweb.org/conference/iswc-aswc/2007/proceedingsNovember295--308LNCSThe Fundamentals of iSPARQL - A Virtual Triple Approach For Similarity-Based Semantic Web Tasks48252007fundamentals 2007 isparql approach research_03 iswc virtual triple task semantic web This research explores three SPARQL-based techniques to solve Semantic Web tasks that often require similarity measures, such as semantic data integration, ontology mapping, and Semantic Web service matchmaking. Our aim is to see how far it is possible to integrate customized similarity functions (CSF) into SPARQL to achieve good results for these tasks. Our first approach exploits virtual triples calling property functions to establish virtual relations among resources under comparison; the second approach uses extension functions to filter out resources that do not meet the requested similarity criteria; finally, our third technique applies new solution modifiers to post-process a SPARQL solution sequence. The semantics of the three approaches are formally elaborated and discussed. We close the paper with a demonstration of the usefulness of our iSPARQL framework in the context of a data integration and an ontology mapping experiment.http://www.bibsonomy.org/bibtex/28541ea5b6d63e26c728e998c359e1f23/iswc2007iswc20072007-11-07T19:13:58+01:00iswc approach research_11 2007 semantic <span style="color:#555555;">Marta <a href="http://www.bibsonomy.org/author/Sabou">Sabou</a> und Jorge <a href="http://www.bibsonomy.org/author/Gracia">Gracia</a> und Sofia <a href="http://www.bibsonomy.org/author/Angeletou">Angeletou</a> und Mathieu <a href="http://www.bibsonomy.org/author/D&#039;Aquin">D'Aquin</a> und Enrico <a href="http://www.bibsonomy.org/author/Motta">Motta</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea, </em><em>Volume4825vonLNCS, </em><em>Seite421--434. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em><em>November2007. </em>Wed Nov 07 19:13:58 CET 2007Berlin, HeidelbergProceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Koreahttp://data.semanticweb.org/conference/iswc-aswc/2007/proceedingsNovember421--434LNCSEvaluating the Semantic Web:A Task-based Approach48252007iswc approach research_11 2007 semantic The increased availability of online knowledge has led to the design of several algorithms that solve a variety of tasks by harvesting the Semantic Web, i.e., by dynamically selecting and exploring a multitude of online ontologies. Our hypothesis is that the performance of such novel algorithms implicitly provides an insight into the quality of the used ontologies and thus opens the way to a task-based evaluation of the Semantic Web. We have investigated this hypothesis by studying the lessons learnt about online ontologies when used to solve three tasks: ontology matching, folksonomy enrichment, and word sense disambiguation. Our analysis leads to a suit of conclusions about the status of the Semantic Web, which highlight a number of strengths and weaknesses of the semantic information available online and complement the findings of other analysis of the Semantic Web landscape.http://www.bibsonomy.org/bibtex/26d9881b2b8d700fe37a61f2f4ae230c0/iswc2007iswc20072007-11-07T19:13:58+01:00ontology activation retrieval network doctoral_consortium information approach 2007 iswc interactive <span style="color:#555555;">Ming <a href="http://www.bibsonomy.org/author/Mao">Mao</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea, </em><em>Volume4825vonLNCS, </em><em>Seite925--929. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em><em>November2007. </em>Wed Nov 07 19:13:58 CET 2007Berlin, HeidelbergProceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Koreahttp://data.semanticweb.org/conference/iswc-aswc/2007/proceedingsNovember925--929LNCSOntology Mapping: An Information Retrieval and Interactive Activation Network Based Approach48252007ontology activation retrieval network doctoral_consortium information approach 2007 iswc interactive The World Wide Web (WWW) now is widely used as a universal medium for information exchange. Semantic interoperability among different information systems in the WWW is limited due to information heterogeneity problem. Ontologies have been suggested as a way to solve this problem. Given that no universal ontology exists for the WWW, work has focused on finding semantic correspondences between similar elements of different ontologies, i.e., ontology mapping. Ontology mapping can be done either by hand or using automated tools. Manual mapping becomes impractical as the size and complexity of ontologies increases. Fully or semi-automated mapping approaches have been examined by different research studies, e.g., analyzing linguistic information of elements in ontologies, treating ontologies as structural graphs, applying heuristic rules to look for specific mapping patterns and machine learning techniques. This paper proposes a new generic and scalable ontology mapping approach, which takes advantage of propagation theory, information retrieval technique and artificial intelligence model to solve ontology mapping problem. The major procedures of the proposed approach are profile enrichment, profile propagation, IR-based profile mapping and the interactive activation network based constraints satisfaction. The profile enrichment builds a profile for each element in the ontologies, and thus enriches its information. The profile propagation exploits the neighboring information of each element by passing the profile of the ancestors, descendants or siblings of the element to the profile of itself, with different weights. The IR-based profile mapping process compares the cosine similarity of elements’ profiles in a vector space model. Finally the interactive activation network is integrated to deal with the constraints satisfaction problems in the context of ontology mapping.http://www.bibsonomy.org/bibtex/2d21a5e39d06cf41ae23d46117019ad25/iswc2007iswc20072007-11-07T19:13:58+01:00approach semantic 2007 research_01 metadata information_integration interoperability semantic_web ontology_alignment iswc ontology_(computer_science) <span style="color:#555555;">Tuukka <a href="http://www.bibsonomy.org/author/Ruotsalo">Ruotsalo</a> und Eero <a href="http://www.bibsonomy.org/author/Hyvönen">Hyv&#246;nen</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea, </em><em>Volume4825vonLNCS, </em><em>Seite407--420. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em><em>November2007. </em>Wed Nov 07 19:13:58 CET 2007Berlin, HeidelbergProceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Koreahttp://data.semanticweb.org/conference/iswc-aswc/2007/proceedingsNovember407--420LNCSAn Event-based Approach for Semantic Metadata Interoperability48252007approach semantic 2007 research_01 metadata information_integration interoperability semantic_web ontology_alignment iswc ontology_(computer_science) This paper presents a method for making metadata conforming to heterogeneous schemas semantically interoperable. The idea is to make the knowledge embedded in the schema structures interoperable and explicit by transforming the schemas into a shared, event-based representation of knowledge about the real world. This enables and simplifies accurate reasoning services such as cross-domain semantic search, browsing, and recommending. A case study of transforming three different schemas and datasets is presented. An implemented knowledge-based recommender system utilizing the results in the semantic portal CULTURESAMPO was found useful in a preliminary user study.