http://www.bibsonomy.org/burst/tag/semanticBibSonomy BuRST Feed for /tag/semantic2008-10-16T09:14:21+02:00http://www.bibsonomy.org/bibtex/2db794dcfb41cae7a5147a8234f7ea2eb/jaeschkejaeschke2008-10-15T14:34:23+02:00collaborative tagging semkey semantic <span style="color:#555555;">Andrea <a href="http://www.bibsonomy.org/author/Marchetti">Marchetti</a> und Maurizio <a href="http://www.bibsonomy.org/author/Tesconi">Tesconi</a> und Francesco <a href="http://www.bibsonomy.org/author/Ronzano">Ronzano</a> und Marco <a href="http://www.bibsonomy.org/author/Rosella">Rosella</a> und Salvatore <a href="http://www.bibsonomy.org/author/Minutoli">Minutoli</a> </span><em>Proc. WWW 2007 Workshop on Tagging and Metadata for Social Information Organization, </em><em>Banff, Canada, </em><em>May2007. </em>Wed Oct 15 14:34:23 CEST 2008Banff, CanadaProc. WWW 2007 Workshop on Tagging and Metadata for Social Information OrganizationMaySemKey: A Semantic Collaborative Tagging System 2007collaborative tagging semkey semantic By analysing the current structure and the usage patterns of collaborative tagging systems, we can find out many important aspects which still need to be improved. Problems related to synonymy, polysemy, different lexical forms, mispelling errors or alternate spellings, different levels of precision and different kinds of tag-to-resource association cause inconsistencies and reduce the efficiency of content search and the effectiveness of the tag space structuring and organization. They are mainly caused by the lack of semantic information inclusion in the tagging process. We propose a new way to describe resources: the semantic tagging. It allows user to state semantic assertions: each of them expresses a defined characteristic of a resource associating it with a concept. We present SemKey, a semantic collaborative tagging system, describing its global architecture and functioning along with the most relevant organizational issues faced. We explore the adequacy of the support offered by the entries of Wikipedia and WordNet in order to access to and reference concepts.http://www.bibsonomy.org/bibtex/2daa312cc50ee2e53a48fe78f88586a8f/jaeschkejaeschke2008-10-15T13:59:44+02:00music annotation semantic game <span style="color:#555555;">Douglas <a href="http://www.bibsonomy.org/author/Turnbull">Turnbull</a> und Ruoran <a href="http://www.bibsonomy.org/author/Liu">Liu</a> und Luke <a href="http://www.bibsonomy.org/author/Barrington">Barrington</a> und Gert <a href="http://www.bibsonomy.org/author/Lanckriet">Lanckriet</a> </span><em>In 8th International Conference on Music Information Retrieval (ISMIR, </em>(<em>2007</em>)Wed Oct 15 13:59:44 CEST 2008In 8th International Conference on Music Information Retrieval (ISMIRA game-based approach for collecting semantic annotations of music2007music annotation semantic game Games based on human computation are a valuable tool for collecting semantic information about images. We show how to transfer this idea into the music domain in order to collect high-quality semantic data for songs. We present Listen Game, a online, multiplayer game that measures the semantic relationship between music and words. In the normal mode, a player sees a list of semantically related words (e.g., ‘Instruments’, ‘Emotions ’ ‘Usages’) and is asked to pick the best and worst word to describe a song. In the freestyle mode, a user is asked to suggest a new word that describes the music. Each player receives realtime feedback on the agreement amongst all players. We show that we can use the data collected during a twoweek pilot study of Listen Game to learn a supervised multiclass labeling (SML) model which can annotate a novel song with meaningful words and retrieve relevant songs from a database of audio content.SpringerLink - Buchkapitelhttp://www.bibsonomy.org/bibtex/24ae25af428e7e30dfb943f24bc3c0977/claudia.wagnerclaudia.wagner2008-10-14T17:22:55+02:00semantic web policy rules <span style="color:#555555;">Piero <a href="http://www.bibsonomy.org/author/Bonatti">Bonatti</a> und Daniel <a href="http://www.bibsonomy.org/author/Olmedilla">Olmedilla</a> </span><em>Reasoning Web</em>(<em>2007</em>)Tue Oct 14 17:22:55 CEST 2008Reasoning Web240--268Rule-Based Policy Representation and Reasoning for the Semantic Web2007semantic web policy rules The Semantic Web aims at enabling sophisticated and autonomic machine to machine interactions without human intervention, by providing machines not only with data but also with its meaning (semantics). In this setting, traditional security mechanismsare not suitable anymore. For example, identity-based access control assumes that parties are known in advance. Then, a machinefirst determines the identity of the requester in order to either grant or deny access, depending on its associated information(e.g., by looking up its set of permissions). In the Semantic Web, any two strangers can interact with each other automaticallyand therefore this assumption does not hold. Hence, a semantically enriched process is required in order to regulate an automaticaccess to sensitive information. Policy-based access control provides sophisticated means in order to support protecting sensitiveresources and information disclosure.http://www.bibsonomy.org/bibtex/252df0bc15a469eb75a24f77b2382ea7e/claudia.wagnerclaudia.wagner2008-10-14T16:11:01+02:00trust semantic web policy <span style="color:#555555;">Juri L. <a href="http://www.bibsonomy.org/author/De Coi">De Coi</a> und Daniel <a href="http://www.bibsonomy.org/author/Olmedilla">Olmedilla</a> und Sergej <a href="http://www.bibsonomy.org/author/Zerr">Zerr</a> und Piero A. <a href="http://www.bibsonomy.org/author/Bonatti">Bonatti</a> und Luigi <a href="http://www.bibsonomy.org/author/Sauro">Sauro</a> </span><em>IEEE International Policies for Distributed Systems and Networks (POLICY 2008), </em><em>Palisades, NY, USA, </em><em>IEEE Computer Society, </em><em>June2008. </em>Tue Oct 14 16:11:01 CEST 2008Palisades, NY, USAIEEE International Policies for Distributed Systems and Networks (POLICY 2008)JuneA Trust Management package for Policy-Driven Protection \& Personalization of Web Content2008trust semantic web policy This paper/demo presents an advanced approach to access control on the Web. It presents an easy deployable package that exploits emerging trust negotiation approaches by integrating them in a Web scenario. In such a scenario advance decisions can be made based on expressive conditions, including credentials exchanged among entities in order to establish enough trust to be granted access to a resource, while preserving the privacy of information released. In addition, policies can be used in scripting languages such as JSP in order to personalize dynamically generated content, based on locally stored information or requester information obtained through negotiations. Furthermore, using policies allows us to make use of many of the results in the area, including policy verification techniques and the use of our automatically generated natural language explanations describing i.e. the requirements to be satisfied before access to a resource is granted or why a previous attempt has been denied.http://www.bibsonomy.org/bibtex/2bbcdf1d1d9dff58bbd322a46b1610475/deynarddeynard2008-10-11T09:57:50+02:00semantic <span style="color:#555555;">Jim <a href="http://www.bibsonomy.org/author/Hendler">Hendler</a> </span><em>SemGrail 2007 Workshop, </em><em>Redmond, Washington, USA, </em><em>June2007. </em><em>Position paper . </em>Sat Oct 11 09:57:50 CEST 2008Redmond, Washington, USASemGrail 2007 WorkshopJunePosition paperSemantics and the Network Effect: A little semantics goes a long way 2007semantic Lots of good articles about pro/cons of tagging.http://www.bibsonomy.org/bibtex/2b6392fcb28d99ef89685977d04e1cbf8/boehrboehr2008-10-10T14:00:01+02:00tagging semantic <span style="color:#555555;">Birgit <a href="http://www.bibsonomy.org/author/Gaiser">Gaiser</a> und Thorsten <a href="http://www.bibsonomy.org/author/Hampel">Hampel</a> und Eds <a href="http://www.bibsonomy.org/author/Panke">Panke</a> (eds.). </span><em>Waxmann-Verlag, </em>(<em>2008</em>)Fri Oct 10 14:00:01 CEST 2008Social Tagging in der WissensorganisationGood Tags-Bad Tags2008tagging semantic http://www.bibsonomy.org/bibtex/22a7149ff31a1c4d93e6d857c7a945355/mkroellmkroell2008-10-07T12:40:42+02:00text semantic ambiguity toread <span style="color:#555555;">George <a href="http://www.bibsonomy.org/author/Tsatsaronis">Tsatsaronis</a> und Michalis <a href="http://www.bibsonomy.org/author/Vazirgiannis">Vazirgiannis</a> und Ion <a href="http://www.bibsonomy.org/author/Androutsopoulos">Androutsopoulos</a> </span><em>January2007. </em>Tue Oct 07 12:40:42 CEST 2008IJCAI 2007JanuaryWord Sense Disambiguation with Spreading Activation Networks Generated from Thesauri2007text semantic ambiguity toread Most word sense disambiguation (WSD) methods require large quantities of manually annotated training data and/or do not exploit fully the semantic relations of thesauri. We propose a new unsupervised WSD algorithm, which is based on generating Spreading Activation Networks (SANs) from the senses of a thesaurus and the relations between them. A new method of assigning weights to the networks’ links is also proposed. Experiments show that the algorithm outperforms previous unsupervised approaches to WSD.http://www.bibsonomy.org/bibtex/257de9154de9e4848eb5989f9ca7fdcbb/hothohotho2008-09-26T16:06:49+02:00similarity semantic wordnet toread distributional <span style="color:#555555;">James Richard <a href="http://www.bibsonomy.org/author/Curran">Curran</a> </span><em>Institute for Communicating and Collaborative Systems School of Informatics University of Edinburgh, </em>(<em>2003</em>)Fri Sep 26 16:06:49 CEST 2008{From Distributional to Semantic Similarity}2003similarity semantic wordnet toread distributional Lexical-semantic resources, including thesauri and WOR DNE T, have been successfully incor- porated into a wide range of applications in Natural Language Processing. However they are very difficult and expensive to create and maintain, and their usefulness has been severely hampered by their limited coverage, bias and inconsistency. Automated and semi-automated methods for developing such resources are therefore crucial for further resource development and improved application performance. Systems that extract thesauri often identify similar words using the distributional hypothesis that similar words appear in similar contexts. This approach involves using corpora to examine the contexts each word appears in and then calculating the similarity between context distri- butions. Different definitions of context can be used, and I begin by examining how different types of extracted context influence similarity. To be of most benefit these systems must be capable of finding synonyms for rare words. Reliable context counts for rare events can only be extracted from vast collections of text. In this dissertation I describe how to extract contexts from a corpus of over 2 billion words. I describe techniques for processing text on this scale and examine the trade-off between context accuracy, information content and quantity of text analysed. Distributional similarity is at best an approximation to semantic similarity. I develop improved approximations motivated by the intuition that some events in the context distribution are more indicative of meaning than others. For instance, the object-of-verb context wear is far more indicative of a clothing noun than get. However, existing distributional techniques do not effectively utilise this information. The new context-weighted similarity metric I propose in this dissertation significantly outperforms every distributional similarity metric described in the literature. Nearest-neighbour similarity algorithms scale poorly with vocabulary and context vector size. To overcome this problem I introduce a new context-weighted approximation algorithm with bounded complexity in context vector size that significantly reduces the system runtime with only a minor performance penalty. I also describe a parallelized version of the system that runs on a Beowulf cluster for the 2 billion word experiments. To evaluate the context-weighted similarity measure I compare ranked similarity lists against gold-standard resources using precision and recall-based measures from Information Retrieval, since the alternative, application-based evaluation, can often be influenced by distributional as well as semantic similarity. I also perform a detailed analysis of the final results using WOR DNE T. Finally, I apply my similarity metric to the task of assigning words to WOR DNE T semantic categories. I demonstrate that this new approach outperforms existing methods and overcomes some of their weaknesses. They purpose that users can collect and name their different accounts (twitter, delciouse and so on) in their foaf file. than rdf enabled tools can centralize their data from the decentralized Web2.0. But the problem, which is not adressed in this work is, that user would need more privacy and a more granular way to define centralzied identities of themself. With the method proposed in this paper a user can have more foaf files, to seperate his different identities, but he cannot assign parts of his data of one account to one foaf file. (for example let all sites which know my professional foaf file pick up my delicious bookmarks tagged with "work", but not my bookmarks tagged with other things)http://www.bibsonomy.org/bibtex/2cde89ec5af9716f2f4b41b0ded6e9036/claudia.wagnerclaudia.wagner2008-09-26T13:43:54+02:00networks DERI social semantic web dataportabolity <span style="color:#555555;">Uldis <a href="http://www.bibsonomy.org/author/Bojars">Bojars</a> und Alexandre <a href="http://www.bibsonomy.org/author/Passant">Passant</a> und John G. <a href="http://www.bibsonomy.org/author/Breslin">Breslin</a> und Stefan <a href="http://www.bibsonomy.org/author/Decker">Decker</a> </span><em>2nd Workshop on Social Aspects of the Web (SAW 2008) at BIS2008, </em><em>Seite5--19. </em>(<em>2008</em>)Fri Sep 26 13:43:54 CEST 20082nd Workshop on Social Aspects of the Web (SAW 2008) at BIS20085--19Social Network and Data Portability using Semantic Web Technologies2008networks DERI social semantic web dataportabolity myown conferenceshttp://www.bibsonomy.org/bibtex/22ef5e728b80a65fe70b8e3891197046e/mgranimgrani2008-09-24T20:10:25+02:00knowledge ontologies nonhierarchical link myown type space learning, statistical online vector Web, process, conference metric, analysis, cosine system, semantic (artificial learning ontology suggestion, models intelligence), relations, batch similarity systems, design based <span style="color:#555555;">Albert <a href="http://www.bibsonomy.org/author/Weichselbraun">Weichselbraun</a> und Gerhard <a href="http://www.bibsonomy.org/author/Wohlgenannt">Wohlgenannt</a> und Arno <a href="http://www.bibsonomy.org/author/Scharl">Scharl</a> und Michael <a href="http://www.bibsonomy.org/author/Granitzer">Granitzer</a> und Thomas <a href="http://www.bibsonomy.org/author/Neidhart">Neidhart</a> und Andreas <a href="http://www.bibsonomy.org/author/Juffinger">Juffinger</a> </span><em>Proc. 4th International Conference on Innovations in Information Technology Innovations '07, </em><em>Seite566--570. </em>(<em>2007</em>)Wed Sep 24 20:10:25 CEST 2008Proc. 4th International Conference on Innovations in Information Technology Innovations '07566--570Applying Vector Space Models to Ontology Link Type Suggestion2007knowledge ontologies nonhierarchical link myown type space learning, statistical online vector Web, process, conference metric, analysis, cosine system, semantic (artificial learning ontology suggestion, models intelligence), relations, batch similarity systems, design based The identification and labeling of non-hierarchical relations are among the most challenging tasks in ontology learning. This paper describes an approach for suggesting ontology relationship types to domain experts based on implicitly learned relations from a domain corpus. The learning process extracts verb- vectors from sentences containing domain concepts. It computes centroids for known relationship types and stores them in the knowledge base. Vectors of unknown relationships are compared to the stored centroids using the cosine similarity metric. The system then suggests the relationship type of the most similar centroid. Domain experts evaluate these suggestions to refine the knowledge base and constantly improve the component's accuracy. Using four sample ontologies on "energy sources", this paper demonstrates how link type suggestion aids the ontology design process. It also provides a statistical analysis on the accuracy and average ranking performance of batch learning versus online learning.http://www.bibsonomy.org/bibtex/2b7cc8ffd4b5d337bf9ae8aceb0237ec0/yishyish2008-09-16T23:57:21+02:00AIED elearning learner semantic ITS openlearnermodels modelling learning wleformativeeassessment <span style="color:#555555;">Vania <a href="http://www.bibsonomy.org/author/Dimitrova">Dimitrova</a> und Paul <a href="http://www.bibsonomy.org/author/Brna">Brna</a> und John <a href="http://www.bibsonomy.org/author/Self">Self</a> </span>(<em>2002</em>)Tue Sep 16 23:57:21 CEST 2008The Design and Implementation of a Graphical Communication Medium for Interactive Open Learner Modelling2002AIED elearning learner semantic ITS openlearnermodels modelling learning wleformativeeassessment Our work explores an interactive open learner modelling (IOLM) approach where a learner is provided with the means to inspect and discuss the learner model. This paper presents the design and implementation of a communication medium for IOLM. We justify an approach of inspecting and discussing the learner model in a graphical manner using conceptual graphs. Based on a empirical study we draw design recommendations, taken into account in the implementation of the communication medium in STyLE-OLM - an IOLM system in a terminological domain. The potential and improvements of the medium are discussed on the basis of study with STyLE-OLM.CCNLab BibTeXhttp://www.bibsonomy.org/bibtex/20d00dd72be705112ee0b85b7f499eb6f/brian.mingusbrian.mingus2008-09-16T23:39:07+02:00priming, cognitive incubation activation, rt, memory, semantic CCP effect, JRR, psychology, lexical <span style="color:#555555;">I. <a href="http://www.bibsonomy.org/author/Yaniv">Yaniv</a> und D. E. <a href="http://www.bibsonomy.org/author/Meyer">Meyer</a> </span><em>Journal of Experimental Psychology: Learning, Memory, and Cognition</em><em>13(2):187-205</em>(<em>1987</em>)Tue Sep 16 23:39:07 CEST 2008Journal of Experimental Psychology: Learning, Memory, and Cognition2187-205Activation and Metacognition of Inaccesible Stored Information: Potential Bases for Incubation Effects in Problem Solving131987priming, cognitive incubation activation, rt, memory, semantic CCP effect, JRR, psychology, lexical CCNLab BibTeXhttp://www.bibsonomy.org/bibtex/2d3c93c02a11748b8999128f26524eed6/brian.mingusbrian.mingus2008-09-16T23:39:07+02:00schizophrenia, semantic CCP contraint, JRR, language, <span style="color:#555555;">T. <a href="http://www.bibsonomy.org/author/Wykes">Wykes</a> </span><em>Psychological Medicine</em>(<em>1980</em>)Tue Sep 16 23:39:07 CEST 2008Psychological Medicine403-406Language and Schizophrenia101980schizophrenia, semantic CCP contraint, JRR, language, CCNLab BibTeXhttp://www.bibsonomy.org/bibtex/2f1d1fc8ee6cbecc67cc2b04c3bd49751/brian.mingusbrian.mingus2008-09-16T23:39:07+02:00priming, cognitive activation, semantic CCP JRR, psychology, lexical <span style="color:#555555;">W. F. <a href="http://www.bibsonomy.org/author/Walls">Walls</a> und P. <a href="http://www.bibsonomy.org/author/Siple">Siple</a> </span><em>Annual Meeting of the Psychonomic Society, </em><em>Seite8. </em><em>Seattle, </em><em>Wayne State University, </em>(<em>1987</em>)Tue Sep 16 23:39:07 CEST 2008SeattleAnnual Meeting of the Psychonomic Society8Similarity effects on semantic activation by pictures and words1987priming, cognitive activation, semantic CCP JRR, psychology, lexical CCNLab BibTeXhttp://www.bibsonomy.org/bibtex/264d4edc8c5bcaf284e9fc01a0f6a8204/brian.mingusbrian.mingus2008-09-16T23:39:07+02:00errors, syntactic semantic CCP JRR, and <span style="color:#555555;">P. <a href="http://www.bibsonomy.org/author/Thomas">Thomas</a> und K&gt; <a href="http://www.bibsonomy.org/author/King">King</a> und W. I. <a href="http://www.bibsonomy.org/author/Fraser">Fraser</a> </span><em>Acta Psychiatrica Scandinavia</em>(<em>1987</em>)Tue Sep 16 23:39:07 CEST 2008Acta Psychiatrica Scandinavia144-151Positive and negative symptoms of schizophrenia and linguistic performance761987errors, syntactic semantic CCP JRR, and CCNLab BibTeXhttp://www.bibsonomy.org/bibtex/20a9b4b35c088c5e2660292d0cfca6765/brian.mingusbrian.mingus2008-09-16T23:39:07+02:00functional semantic cortical imaging resonance activation, access, CCP maps, magnetic psycholinguistics, JRR, lexical (fMRI), <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Spitzer">Spitzer</a> und G. <a href="http://www.bibsonomy.org/author/Brix">Brix</a> und U. <a href="http://www.bibsonomy.org/author/Kischka">Kischka</a> und F. <a href="http://www.bibsonomy.org/author/Guckel">Guckel</a> und M. E. <a href="http://www.bibsonomy.org/author/Bellemann">Bellemann</a> und A. <a href="http://www.bibsonomy.org/author/Gass">Gass</a> und S. <a href="http://www.bibsonomy.org/author/Seyyedi">Seyyedi</a> und M. <a href="http://www.bibsonomy.org/author/Weisbrod">Weisbrod</a> und R. <a href="http://www.bibsonomy.org/author/Loose">Loose</a> und A. <a href="http://www.bibsonomy.org/author/Schwartz">Schwartz</a> </span><em>Technical, </em><em>4-94. </em><em>Ruprecht-Karls-Universitat Heidelberg, </em><em>August 2, 19941994. </em>Tue Sep 16 23:39:07 CEST 2008August 2, 19944-94Mapping cortical activation during semantic judgment with functional MRITechnical1994functional semantic cortical imaging resonance activation, access, CCP maps, magnetic psycholinguistics, JRR, lexical (fMRI), CCNLab BibTeXhttp://www.bibsonomy.org/bibtex/2c824871bb7d32260227092864ef56669/brian.mingusbrian.mingus2008-09-16T23:39:07+02:00decision, delayed memory, semantic associative task, response priming, schizophrenia, CCP JRR, working lexical <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Spitzer">Spitzer</a> </span><em>European Archives of Psychiatry and Clinical Neuroscience</em>(<em>1993</em>)Tue Sep 16 23:39:07 CEST 2008European Archives of Psychiatry and Clinical Neuroscience57-70The psychopathology, neuropsychology, and neurobiology of associative and working memory in schizophrenia2431993decision, delayed memory, semantic associative task, response priming, schizophrenia, CCP JRR, working lexical CCNLab BibTeXhttp://www.bibsonomy.org/bibtex/2434ff04f9b830674dfddef6a1f4c5ae1/brian.mingusbrian.mingus2008-09-16T23:39:07+02:00dopamine, semantic thought networks, priming, schizophrenia, disorder, CCP JRR, Kohonen associations, concretism, language, <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Spitzer">Spitzer</a> </span><em>Harvard University, </em>(<em>1994</em>)Tue Sep 16 23:39:07 CEST 2008Associative networks, self-organizing semantic maps, neuroplasticity, neuromodulation, and noise: A neurocomputational view of schizophrenic thought disorderpaper1994dopamine, semantic thought networks, priming, schizophrenia, disorder, CCP JRR, Kohonen associations, concretism, language, CCNLab BibTeXhttp://www.bibsonomy.org/bibtex/2e07cda20eebe326bd07f0a6200e7deae/brian.mingusbrian.mingus2008-09-16T23:39:07+02:00priming, cognitive semantic CCP JRR, psychology, lexical <span style="color:#555555;">N. <a href="http://www.bibsonomy.org/author/Snow">Snow</a> und J. H. <a href="http://www.bibsonomy.org/author/Neely">Neely</a> </span><em>Purdue University, </em>(<em>1987</em>)Tue Sep 16 23:39:07 CEST 2008Reduction of semantic priming from Inclusion of physically or nominally related prime-target pairspaper1987priming, cognitive semantic CCP JRR, psychology, lexical CCNLab BibTeXhttp://www.bibsonomy.org/bibtex/224d2472a4d38e878dd205f7d85e6b19a/brian.mingusbrian.mingus2008-09-16T23:39:07+02:00cognitive ambiguity, selective access, semantic CCP word psychology,, recognition, JRR, lexical context, <span style="color:#555555;">R. W. <a href="http://www.bibsonomy.org/author/Schvaneveldt">Schvaneveldt</a> und D. E. <a href="http://www.bibsonomy.org/author/Meyer">Meyer</a> und C. A. <a href="http://www.bibsonomy.org/author/Becker">Becker</a> </span><em>Journal of Experimental Psychology: Human Perception and Performance</em><em>2(2):243-256</em>(<em>1976</em>)Tue Sep 16 23:39:07 CEST 2008Journal of Experimental Psychology: Human Perception and Performance2243-256Lexical ambiguity, semantic context, and visual word recognition21976cognitive ambiguity, selective access, semantic CCP word psychology,, recognition, JRR, lexical context,