BibSonomyburst/tag/application_softwareBibSonomy RSS feed for /tag/application_software2012-02-16T20:03:55+01:00http://www.bibsonomy.org/bibtex/2ec18dae4b40cb18a8db58853cdfb3e9c/fbw_hannoverfbw_hannover2009-08-21T12:16:51+02:00Application_software Betriebliche_Information_und_Kommunikation Computer_file Development IBM_WebSphere JMS Java_Message_Service WebSphere <span class="authorEditorList"><a href="/author/Yusuf">Kareem Yusuf</a> </span><em>IBM Press series - information management </em><em>Prentice Hall, </em><em>Upper Saddle River, NJ, </em><em>1. print edition, </em>(<em>2004</em>)Fri Aug 21 12:16:51 CEST 2009Upper Saddle River, NJ1. printIBM Press series - information managementEnterprise messaging using JMS and IBM WebSphere2004Application_software Betriebliche_Information_und_Kommunikation Computer_file Development IBM_WebSphere JMS Java_Message_Service WebSphere http://www.bibsonomy.org/bibtex/242031598526676c9798f1210d9cf74cb/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software approach data_management datum hybrid ir iswc query research_13 scalable semantic semantic_web web <span class="authorEditorList"><a href="/author/Zhang">Lei Zhang</a>, <a href="/author/Liu">QiaoLing Liu</a>, <a href="/author/Zhang">Jie Zhang</a>, <a href="/author/Wang">Haofen Wang</a>, <a href="/author/Pan">Yue Pan</a>, and <a href="/author/Yu">Yong 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>volume 4825 of LNCS, </em><em>page 645--658. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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 Data482520072007 application_software approach data_management datum hybrid ir iswc query research_13 scalable semantic semantic_web web 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/2837c26926a5e2c025e16c8e5c36af752/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software business extraction finance in_use_3 information intelligence iswc ontology ontology_(computer_science) semantic_web tool <span class="authorEditorList"><a href="/author/Saggion">Horacio Saggion</a>, <a href="/author/Bontcheva">Kalina Bontcheva</a>, <a href="/author/Funk">Adam Funk</a>, and <a href="/author/Maynard">Diana Maynard</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 837--850. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember837--850LNCSOntology-based Information Extraction for Business Intelligence482520072007 application_software business extraction finance in_use_3 information intelligence iswc ontology ontology_(computer_science) semantic_web tool Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of that semantic information. We describe the application of ontology-based extraction and merging in the context of a practical e-business application for the EU MUSING Project where the goal is to gather international company intelligence and country/region information. The results of our experiments so far are very promising and we are now in the process of bulding a complete end-to-end solution.http://www.bibsonomy.org/bibtex/2cf163eb799dbda08d2cb3776e18cddbd/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software cognition evaluation human human-computer_interaction inference iswc lesson ontology_(computer_science) research_05 science semantic semantic_web web <span class="authorEditorList"><a href="/author/Yamauchi">Takashi Yamauchi</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 603--616. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember603--616LNCSThe Semantic Web and Human Inference: A Lesson from Cognitive Science482520072007 application_software cognition evaluation human human-computer_interaction inference iswc lesson ontology_(computer_science) research_05 science semantic semantic_web web For the development of Semantic Web technology, researchers and developers in the Semantic Web community need to focus on the areas in which human reasoning is particularly difficult. Two studies in this paper demonstrate that people are predisposed to use class-inclusion labels for inductive judgments. This tendency appears to stem from a general characteristic of human reasoning – using heuristics to solve problems. The inference engines and interface designs that incorporate human reasoning need to integrate this general characteristic underlying human induction.http://www.bibsonomy.org/bibtex/2e8c8cebd7906f804fc25316b782f0d0f/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software human-computer_interaction information_extraction interpretation iswc keyword natural_language_processing ontology research_06 search semantic semantic_web software_agent web_service <span class="authorEditorList"><a href="/author/Tran">Thanh Tran</a>, <a href="/author/Cimiano">Philipp Cimiano</a>, <a href="/author/Rudolph">Sebastian Rudolph</a>, and <a href="/author/Studer">Rudi Studer</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 519--532. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember519--532LNCSOntology-based Interpretation of Keywords for Semantic Search482520072007 application_software human-computer_interaction information_extraction interpretation iswc keyword natural_language_processing ontology research_06 search semantic semantic_web software_agent web_service Current information retrieval (IR) approaches do not formally capture the explicit meaning of a keyword query but provide a comfortable way for the user to specify information needs on the basis of keywords. Ontology-based approaches allow for sophisticated semantic search but impose a query syntax more difficult to handle. In this paper, we present an approach for translating keyword queries to DL conjunctive queries using background knowledge available in ontologies. We present an implementation which shows that this interpretation of keywords can then be used for both exploration of asserted knowledge and for a semantics-based declarative query answering process. We also present an evaluation of our system and a discussion of the limitations of the approach with respect to our underlying assumptions which directly points to issues for future work.http://www.bibsonomy.org/bibtex/247494770bd04e745700dd2998fc668bb/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software data_management database datum graph grid_computing information_integration iswc peer-to-peer repository research_09 semantic_web software_agent structured web web_service <span class="authorEditorList"><a href="/author/Harth">Andreas Harth</a>, <a href="/author/Umbrich">Jürgen Umbrich</a>, <a href="/author/Hogan">Aidan Hogan</a>, and <a href="/author/Decker">Stefan Decker</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 211--224. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember211--224LNCSYARS2: A Federated Repository for Querying Graph Structured Data from the Web482520072007 application_software data_management database datum graph grid_computing information_integration iswc peer-to-peer repository research_09 semantic_web software_agent structured web web_service We present the architecture of an end-to-end semantic search engine that uses a graph data model to enable interactive query answering over structured and interlinked data collected from many disparate sources on the Web. In particular, we study distributed indexing methods for graph-structured data and parallel query evaluation methods on a cluster of computers. We evaluate the system on a dataset with 430 million statements collected from the Web, and provide scale-up experiments on 7 billion synthetically generated statements.http://www.bibsonomy.org/bibtex/2194d5444b9d18c4601e3eb87bacc6d6e/iswc2007iswc20072007-11-07T19:13:58+01:002007 application application_software in_use_4 iswc ontology ontology_(computer_science) semantic_web translation <span class="authorEditorList"><a href="/author/Ressler">James Ressler</a>, <a href="/author/Dean">Mike Dean</a>, <a href="/author/Benson">Edward Benson</a>, <a href="/author/Dorner">Eric Dorner</a>, and <a href="/author/Morris">Chuck Morris</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 823--836. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember823--836LNCSApplication of Ontology Translation482520072007 application application_software in_use_4 iswc ontology ontology_(computer_science) semantic_web translation An ontology provides a precise specification of the vocabulary used by a community of interest (COI). Multiple communities of interest may describe the same concept using the same or different terms. When such communities interact, ontology alignment and translation is required. This is typically a time consuming process. This paper describes Snoggle, an open source tool designed to ease development of ontology translation rules, and discusses its application to geospatial ontologies.http://www.bibsonomy.org/bibtex/2f070ebca542ef032552bc69eef8c93b9/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software data_management datum instance iswc kernel method mining ontology research_13 semantic_web <span class="authorEditorList"><a href="/author/Bloehdorn">Stephan Bloehdorn</a>, and <a href="/author/Sure">York Sure</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 57--70. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember57--70LNCSKernel Methods for Mining Instance Data in Ontologies482520072007 application_software data_management datum instance iswc kernel method mining ontology research_13 semantic_web The amount of ontologies and meta data available on the Web is constantly growing. The successful application of machine learning techniques for learning of ontologies from textual data, i.e. mining for the Semantic Web, contributes to this trend. However, no principal approaches exist so far for mining from the Semantic Web. We investigate how machine learning algorithms can be made amenable for directly taking advantage of the rich knowledge expressed in ontologies and associated instance data. Kernel methods have been successfully employed in various learning tasks and provide a clean framework for interfacing between non-vectorial data and machine learning algorithms. In this spirit, we express the problem of mining instances in ontologies as the problem of defining valid corresponding kernels. We present a principled framework for designing such kernels by means of decomposing the kernel computation into specialized kernels for selected characteristics of an ontology which can be flexibly assembled and tuned. Initial experiments on real world Semantic Web data enjoy promising results and show the usefulness of our approach.http://www.bibsonomy.org/bibtex/2b75014c7cf2e004bc739d0210731389e/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software cleanup datum extraction information iswc ontology research_02 scalable semantic_web using <span class="authorEditorList"><a href="/author/Dolby">Julian Dolby</a>, <a href="/author/Fan">James Fan</a>, <a href="/author/Fokoue">Achille Fokoue</a>, <a href="/author/Kalyanpur">Aditya Kalyanpur</a>, <a href="/author/Kershenbaum">Aaron Kershenbaum</a>, <a href="/author/Ma">Li Ma</a>, <a href="/author/Murdock">William Murdock</a>, <a href="/author/Srinivas">Kavitha Srinivas</a>, and <a href="/author/Welty">Christopher Welty</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 99-112. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember99-112LNCSScalable Cleanup of Information Extraction Data Using Ontologies482520072007 application_software cleanup datum extraction information iswc ontology research_02 scalable semantic_web using The approach of using ontology reasoning to cleanse the output of information extraction tools was first articulated in SemantiClean. A limiting factor in applying this approach has been that ontology reasoning to find inconsistencies does not scale to the size of data produced by information extraction tools. In this paper, we describe techniques to scale inconsistency detection, and illustrate the use of our techniques to produce a consistent subset of a knowledge base with several thousand inconsistencies.http://www.bibsonomy.org/bibtex/20a0d460b8f613cff96c984ad194bf3d5/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software biology iswc leveraging life owl research_14 science semantic semantic_web technology web <span class="authorEditorList"><a href="/author/Golbreich">Christine Golbreich</a>, <a href="/author/Horridge">Matthew Horridge</a>, <a href="/author/Horrocks">Ian Horrocks</a>, <a href="/author/Motik">Boris Motik</a>, and <a href="/author/Shearer">Rob Shearer</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 169--182. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember169--182LNCSOBO and OWL: Leveraging Semantic Web Technologies for the Life Sciences482520072007 application_software biology iswc leveraging life owl research_14 science semantic semantic_web technology web OBO is an ontology language that has often been used for modeling ontologies in the life sciences. Its definition is relatively informal, so, in this paper, we provide a clear specification for OBO syntax and semantics via a mapping to OWL. This mapping also allows us to apply existing Semantic Web tools and techniques to OBO. We show that Semantic Web reasoners can be used to efficiently reason with OBO ontologies. Furthermore, we show that grounding the OBO language in formal semantics is useful for the ontology development process: using an OWL reasoner, we detected a likely modeling error in one OBO ontology.http://www.bibsonomy.org/bibtex/225ad67b501d348937afa715368368bda/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software heterogeneous in_use_3 interoperability iswc ontology_(computer_science) reasoning semantic_web system tool training <span class="authorEditorList"><a href="/author/Elenius">Daniel Elenius</a>, <a href="/author/Johnson">Mark Johnson</a>, <a href="/author/Ford">Reginald Ford</a>, <a href="/author/Denker">Grit Denker</a>, and <a href="/author/Martin">David Martin</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 743--756. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember743--756LNCSPurpose-Aware Reasoning about Interoperability of Heterogeneous Training Systems482520072007 application_software heterogeneous in_use_3 interoperability iswc ontology_(computer_science) reasoning semantic_web system tool training We describe a novel approach by which software can assess the ability of a confederation of heterogeneous systems to interoperate to achieve a given purpose. The approach uses ontologies and knowledge bases (KBs) to capture the salient characteristics of systems, on the one hand, and of tasks for which these systems will be employed, on the other. Rules are used to represent the conditions under whichthe capabilities provided by systems can fulfill the capabilities needed to support the roles and interactions that make up each task. An Analyzer component employs these KBs and rules to determine if a given confederation will be adequate, to generate suitable confederations from a collection of available systems, to pre-diagnose potential interoperability problems that might arise, and to suggest system configuration options that will help to make interoperability possible. We have demonstrated the feasibility of this approach using a prototype Analyzer and KBs.http://www.bibsonomy.org/bibtex/2f51ec751599c6ed13c1d6766313c8b2f/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software datum in_use_1 iswc nucleus ontology_(computer_science) open semantic_web software_framework tool web <span class="authorEditorList"><a href="/author/Auer">Sören Auer</a>, <a href="/author/Bizer">Chris Bizer</a>, <a href="/author/Lehmann">Jens Lehmann</a>, <a href="/author/Kobilarov">Georgi Kobilarov</a>, <a href="/author/Cyganiak">Richard Cyganiak</a>, and <a href="/author/Ives">Zachary Ives</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 715--728. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember715--728LNCSDBpedia: A Nucleus for a Web of Open Data482520072007 application_software datum in_use_1 iswc nucleus ontology_(computer_science) open semantic_web software_framework tool web DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against datasets derived from Wikipedia and to link other datasets on the Web to Wikipedia data. We describe the extraction of the DBpedia datasets, and how the resulting information can be made available on the Web for humans and machines. We describe some emerging applications from the DBpedia community and show how website operators can reduce costs by facilitating royalty-free DBpedia content within their sites. Finally, we present the current status of interlinking DBpedia with other open datasets on the Web and outline how DBpedia could serve as a nucleus for an emerging Web of open data sources.http://www.bibsonomy.org/bibtex/2a6a1c52209604c7c840ad55e2976da2e/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software designing information_extraction iswc multimedia ontology research_11 semantic_web web web_annotation <span class="authorEditorList"><a href="/author/Arndt">Richard Arndt</a>, <a href="/author/Troncy">Raphael Troncy</a>, <a href="/author/Staab">Steffen Staab</a>, <a href="/author/Hardman">Lynda Hardman</a>, and <a href="/author/Vacura">Miroslav Vacura</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 29--42. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember29--42LNCSCOMM: Designing a Well-Founded Multimedia Ontology for the Web482520072007 application_software designing information_extraction iswc multimedia ontology research_11 semantic_web web web_annotation Semantic descriptions of non-textual media available on the web can be used to facilitate retrieval and presentation of media assets and documents containing them. While technologies for multimedia semantic descriptions already exist, there is as yet no formal description of a high quality multimedia ontology that is compatible with existing (semantic) web technologies. We explain the complexity of the problem using an annotation scenario. We then derive a number of requirements for specifying a formal multimedia ontology before we present the developed ontology, COMM, and evaluate it with respect to our requirements. We provide an API for generating multimedia annotations that conform to COMM.http://www.bibsonomy.org/bibtex/26b723ab18f98a49737c8db7374228005/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software collaborative in_use_3 iswc layer legacy ontology_(computer_science) public_sector semantic semantic_web software_framework system tool web <span class="authorEditorList"><a href="/author/Gangemi">Aldo Gangemi</a>, <a href="/author/Gliozzo">Alfio Gliozzo</a>, and <a href="/author/Presutti">Valentina Presutti</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 757--770. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember757--770LNCSA Collaborative Semantic Web Layer to Enhance Legacy Systems482520072007 application_software collaborative in_use_3 iswc layer legacy ontology_(computer_science) public_sector semantic semantic_web software_framework system tool web This paper introduces a framework to add a semantic web layer to legacy organizational information, and describes its application to the use case provided by the Italian National Research Council (CNR) intraweb. Building on a traditional web-based view of information from different legacy databases, we have performed a semantic porting of data into a knowledge base, dependent on an OWL domain ontology. We have enriched the knowledge base by means of text mining techniques, in order to discover on-topic relations. Several reasoning techniques have been applied, in order to infer relevant implicit relationships. Finally, the ontology and the knowledge base have been deployed on a semantic wiki by means of the WikiFactory tool, which allows users to browse the ontology and the knowledge base, to introduce new relations, to revise wrong assertions in a collaborative way, and to perform semantic queries. In our experiments, we have been able to easily implement several functionalities, such as expert finding, by simply formulating ad-hoc queries from either an ontology editor or the semantic wiki interface. The result is an intelligent and collaborative front end, which allow users to add information, fill gaps, or revise existing information on a semantic basis, while keeping the knowledge base automatically updated.http://www.bibsonomy.org/bibtex/2ce56748004a2f073a3b016b4e7a4e54a/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software iswc ontology_(computer_science) query research_06 search semantic semantic_web <span class="authorEditorList"><a href="/author/Zhou">Qi Zhou</a>, <a href="/author/Wang">Chong Wang</a>, <a href="/author/Xiong">Miao Xiong</a>, <a href="/author/Wang">Haofen Wang</a>, and <a href="/author/Yu">Yong 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>volume 4825 of LNCS, </em><em>page 687--700. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember687--700LNCSSPARK: Adapting Keyword Query to Semantic Search482520072007 application_software iswc ontology_(computer_science) query research_06 search semantic semantic_web Semantic search promises to provide more accurate result than present-day keyword search. However, progress with semantic search has been delayed due to the complexity of its query languages. In this paper, we explore a novel approach of adapting keywords to querying the semantic web: the approach automatically translates keyword queries into formal logic queries so that end users can use familiar keywords to perform semantic search. A prototype system named ‘SPARK’ has been implemented in light of this approach. Given a keyword query, SPARK outputs a ranked list of SPARQL queries as the translation result. The translation in SPARK consists of three major steps: term mapping, query graph construction and query ranking. Specifically, a probabilistic query ranking model is proposed to select the most likely SPARQL query. In the experiment, SPARK achieved an encouraging translation result.http://www.bibsonomy.org/bibtex/246782dd021c8daeb53589155d858981a/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software datum finance in_use_1 iswc ontology_(computer_science) semantic semantic_web technology tool using warehouse web <span class="authorEditorList"><a href="/author/Xie">Guotong Xie</a>, <a href="/author/Yang">Yang Yang</a>, <a href="/author/Liu">Shengping Liu</a>, <a href="/author/Qiu">Zhaoming Qiu</a>, <a href="/author/Pan">Yue Pan</a>, and <a href="/author/Zhou">Xiongzhi Zhou</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 851--904. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember851--904LNCSEIAW: Towards a Business-friendly Data Warehouse Using Semantic Web Technologies482520072007 application_software datum finance in_use_1 iswc ontology_(computer_science) semantic semantic_web technology tool using warehouse web Data warehouse is now widely used in business analysis and decision making processes. To adapt the rapidly changing business environment, we develop a tool to make data warehouses more business-friendly by using Semantic Web technologies. The main idea is to make business semantics explicit by uniformly representing the business metadata (i.e. conceptual enterprise data model and multidimensional model) with an extended OWL language. Then a mapping from the business metadata to the schema of the data warehouse is built. When an analysis request is raised, a customized data mart with data populated from the data warehouse can be automatically generated with the help of this built-in knowledge. This tool, called Enterprise Information Asset Workbench (EIAW), is deployed at the Taikang Life Insurance Company, one of the top five insurance companies of China. User feedback shows that OWL provides an excellent basis for the representation of business semantics in data warehouse, but many necessary extensions are also needed in the real application. The user also deemed this tool very helpful because of its flexibility and speeding up data mart deployment in face of business changes.http://www.bibsonomy.org/bibtex/2891448172401dfab46c1ebdb34915ce3/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software environment formal_language heterogeneous information_integration instance iswc migration ontology ontology_(computer_science) reasoning research_01 semantic_web <span class="authorEditorList"><a href="/author/Tamilin">Andrei Tamilin</a>, and <a href="/author/Serafini">Luciano Serafini</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 449--462. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember449--462LNCSInstance Migration in Heterogeneous Ontology Environments482520072007 application_software environment formal_language heterogeneous information_integration instance iswc migration ontology ontology_(computer_science) reasoning research_01 semantic_web In this paper we address the problem of migrating instances between heterogeneous overlapping ontologies. The instance migration problem arises when one wants to reclassify a set of instances of a source ontology into a semantically related target ontology. Our approach exploits mappings between ontologies, which are used to reconcile both conceptual and individual level heterogeneity, and further used to draw the migration process. We ground the approach on a distributed description logic (DDL), in which ontologies are formally encoded as DL knowledge bases and mappings as bridge rules and individual correspondences. From the theoretical side, we study the task of reasoning with instance data in DDL composed of SHIQ ontologies and define a correct and complete distributed tableaux inference procedure. From the practical side, we upgrade the DRAGO DDL reasoner for dealing with instances and further show how it can be used to drive the migration of instances between heterogeneous ontologies.http://www.bibsonomy.org/bibtex/23a49ae2ff83b89c5e7b0ac07675d96cf/iswc2007iswc20072007-11-07T19:13:58+01:002007 application_software dog food in_use_1 iswc metadata ontology_(computer_science) project recipe semantic semantic_web web <span class="authorEditorList"><a href="/author/Möller">Knud Möller</a>, <a href="/author/Heath">Tom Heath</a>, <a href="/author/Handschuh">Siegfried Handschuh</a>, and <a href="/author/Domingue">John Domingue</a> </span><em>Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea, </em><em>volume 4825 of LNCS, </em><em>page 795--808. </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>November 2007</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/proceedingsNovember795--808LNCSRecipes for Semantic Web Dog Food - The ESWC and ISWC Metadata Projects482520072007 application_software dog food in_use_1 iswc metadata ontology_(computer_science) project recipe semantic semantic_web web Semantic Web conferences such as ESWC and ISWC offer prime opportunities to test and showcase semantic technologies. Conference metadata about people, papers and talks is diverse in nature and neither too small to be uninteresting or too big to be unmanageable. Many metadata-related challenges that may arise in the Semantic Web at large are also present here. Metadata must be generated from sources which are often unstructured and hard to process, and may originate from many different players, therefore suitable workflows must be established. Moreover, the generated metadata must use appropriate formats and vocabularies, and be served in a way that is consistent with the principles of linked data. This paper reports on the metadata efforts from ESWC and ISWC, identifies specific issues and barriers encountered during the projects, and discusses how these were approached. Recommendations are made as to how these may be addressed in the future, and we discuss how these solutions may generalize to metadata production for the Semantic Web at large.