Based on the statistically derived subgroups and patterns we define the mentioned personas to help developers to understand different forms of technology acceptance. Therefore, our research focuses on defining a typology of relevant user characteristics with respect to technology acceptance and transferring those findings to the description of personas.
preliminary version of this has been published as: [Staab et al., 1999a] Proceedings of the Summer School on Reasoning Web , Springer, 2010. In: Borko Furht (ed.) Handbook of Social Network Technologies and Applications , Part 1, Springer, pp. Conference on Web Services , July 6-10, 2009, Los Angeles, CA, USA.
History of cello and speaking tone of voice
2008, Proceedings of the 19th ACM Conference on Hypertext and Hypermedia, 2009, Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, – A Model of Events based on the Foundational Ontology DOLCE+ Ultra Light.
To this end, system usability, user trust in the technology and adherence to privacy laws and regulations were treated as particularly important criteria in the context of socio-technical system design. In particular, it comprises the Conferator and MyGroup applications for enabling smarter social interactions in the context of conferences and working groups. This chapter describes the development of ubiquitous and social software for enhancing social networking. In this chapter, we focus especially on working groups and conferences and discuss and evaluate the achieved improvements using the gathered data. This information can be used to improve the quality of ubiquitous services as localization or recommendation systems.
It is based on an interactive, top-down knowledge acquisition process, which assures that the knowledge engineer considers all possible cases while avoiding redundant acquisition. Thus, in our approach, partitional clustering reduces first the size of the problem such that it becomes tractable for conceptual clustering, which then facilitates the understanding of the results. First, we preprocess the texts, enriching their representations by background knowledge provided in a core ontology — in our application Wordnet. It is based on an interactive, top–down knowledge acquisition process, which assures that the knowledge engineer considers all possible cases while avoiding redundant acquisition.
University of Karlsruhe, Institute AIFB, Archiv Nummer 375 76128 Karlsruhe, Germany, Januar, 2001 Semantic Web Service Architecture – Evolving Web Service Standards toward the Semantic Web of the Annual German Conference on AI, Seiten: 19-33, Springer, 2821, Berlin, September, 2003 Expert Update, Special Issue – Intelligent Services for The Knowledge Lifecycle, Seiten 20-31, 2002
To this end, we provide an experimental evaluation on nine mostly well known social networks and provide some first insights on the impact of clones. After building up some theoretical background for the clone relation in formal contexts we try to find clones in real word data sets. In this study, we investigate the notion of clones in social networks. Therefore, such networks give raise to formal concept lattices which can be investigated utilizing the toolset of Formal Concept Analysis (FCA).
Public Transportation to Gerd Münstermann Steuerberater in Hannover
These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. Collaborative tagging systems allow users to assign keywords – so called “tags” – to resources.
This approach is complemented by presenting two approaches to extract conceptualizations from folksonomies. As these systems are easy to use, they attract huge masses of users. A user clicking on a specific resource after submitting a query indicates that the resource has some relevance with respect to the query. Moreover, the results suggest that there exists a causal link between the pragmatics of tagging and resulting emergent semantics.
Our work has implications for a number of problems related to social tagging systems, including search, tag recommendation, and the acquisition of light-weight ontologies from tagging data. Proceedings of the Semantic Desktop and Social Semantic Collaboration Workshop ( SemDesk 2006 ) located at the 5th International Semantic Web Conference ISWC 2006, 6th November 2006, Athens, GA, USA. booktitle = Proceedings of the MSW 2004 workshop at the 10th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, note = Bridging the Gap–Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences, In: WebSci ’12: Proceedings of the 4th International Conference on Web Science , Evanston, USA, June 2012, pp.
P-tag: large scale automatic generation of personalized annotation tags for the web PA Chirita, S Costache, W Nejdl, S Handschuh Authoring and annotation of web pages in CREAM S Handschuh, S Staab Laura Dragan Research Fellow at Web and Internet Science Researchh Group, University of Southampton Vit Novacek Insight Centre for Data Analytics at National University of Ireland Galway
This exposes important features of theinvestigated similarity measures and indicates which ones are better suited in the context of a given semantic application.}, This exposes important features of theinvestigated similarity measures and indicates which ones are better suited in the context of a given semantic application.
Starting from a review of linguistic definitions of word abstractness, we first use several large-scale ontologies and taxonomies as grounded measures of word generality, including Yago, Wordnet, DMOZ and Wikitaxonomy. However, little progress has been made on other issues, such as understanding the different levels of tag generality (or tag abstractness), which is essential for, among others, identifying hierarchical relationships between concepts.
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Semantic Web – ISWC 2015 – 14th International Semantic Web Conference, WebSci ’16 – Proceedings of the 8th ACM Web Science Conference, Hannover, May 2016. Applications providing such a weight function include association rule mining, functional dependencies in databases, conceptual clustering, and ontology engineering. We dicuss how the management system TOSCANA for conceptual information systems supports CKDD, and illustrate it by two applications in database marketing and flight movement analysis.