Public Transportation in order to Gerd Münstermann Steuerberater within Hannover
keywords = 2006 analysis association folksonomy from:hotho kdubiq myown network rules semantic seminar2006 sosbuch summerschool, title = Semantic Web Mining – State of the Art and Future Directions, We argue that the two areas Web Mining and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not yet realized. Given the primarily syntactical nature of the data being mined, the discovery of meaning is impossible based on these data only. The Semantic Web is the second-generation WWW, enriched by machine-processable information which supports the user in his tasks.
We will argue for continuing this trend by integrating the two research areas FCA and Ontology Engineering. It discusses FCA as a knowledge representation formalism using five knowledge representation principles provided by Davis, Shrobe, and Szolovits (1993). This article provides a review of this new orientation and analyzes why and how FCA and computer science attracted each other. The use of the internet for other tasks than finding information and direct communication is increasing, as can be seen from the interest in ldquoe-activitiesrdquo such as e-commerce, e-learning, e-government, e-science.
Therefore suitable methods that properly exploit the different dimensions of social tagging systems data are needed. In this paper, we tackle this topic from different angles: We describe data mining methods for ubiquitous and social data, specifically focusing on physical and social activities, and provide exemplary analysis results. The present work shows, how basic approaches from the field of social network analysis and information retrieval can be applied for discovering relations among names, thus extending Onomastics by data mining techniques. Abstract In social tagging systems, like Mendeley, CiteULike, and BibSonomy, users can post, tag, visit, or export scholarly publications.
Five years later, several research groups discovered that this problem has a strong connection to Formal Concept Analysis (FCA). The problem of association rule mining has first been stated in 1993. This paper provides a graph clustering technique on knowledge bases for that purpose.
Great cello and speaking tone of voice
- Based on the statistically derived subgroups and patterns we define the mentioned personas to help developers to understand different forms of technology acceptance.
- In this study, we investigate the notion of clones in social networks.
- Last but not least, these techniques can be used for mining the Semantic Web itself.
- Social bookmarking systems have established themselves as an important part in today’s web.
Furthermore, an advantage of this data is the availability of socio-demographic, research-related, and situational attributes of participants. The unique feature of the data is the opportunity to distinguish short and long conversations, which often have a different nature from a sociological point of view. We use this data in order to explore how it may support ethnographic observations and to gain further insights on scholarly interactions. Semantic Web Service Architecture — Evolving Web Service Standards toward the Semantic Web. Introduction to the special issue on conceptual and dynamical aspects of multimedia content description.
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.
Public Transportation to Gerd Münstermann Steuerberater in Hannover
Collaborative tagging systems have nowadays become important data sources for populating semantic web applications. abstract = Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. After comparing how tag similarity measures predict user-created tag relations, we provide an external grounding by user-validated semantic proxies based on WordNet and the Open Directory. Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications.
We have evaluated our approach on large scale data from the del.icio.us bookmarking system. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy.