Group items tagged

Topics of Interest - Be sure to click the link in "Proceedings of the workshop is available here..." Submissions are invited on work relating the Semantic Web with Social Network Analysis. Both theoretical as well as applciation papers are welcome. The topics of interest include (but are not limited to) the following: * Social Network Analysis of the Semantic Web * Network Analysis Methods * Analysis of Large Online Communities (Wikipedia, DMOZ, EBay, ...) * Semantic Web Communities * Web Communities of Practice * Online Harvesting of Semantic Network Information * Network Analysis for Building the Semantic Web * Emergent Semantics in Communities * Change Detection * Self-organization and Management of Semantic Networks * Trust Issues in Semantic Networks * Semantic Network Metadata * Folksonomies * Communities in P2P systems * Online Social Networking (FOAF, Orkut, ...) * Applications of Online Semantic Networks * Knowledge Management with Semantic Networks

The scope of the UMLS Semantic Network is broad, allowing for the semantic categorization of a wide range of terminology in multiple domains. Major groupings of semantic types include organisms, anatomical structures, biologic function, chemicals, events, physical objects, and concepts or ideas. The links between the semantic types provide the structure for the network and represent important relationships in the biomedical domain. The primary link between the semantic types is the 'isa' link. The 'isa' link establishes the hierarchy of types within the Network and is used for deciding on the most specific semantic type available for assignment to a Metathesaurus concept. There is also a set of non-hierarchical relationships, which are grouped into five major categories: `physically related to,' `spatially related to,' `temporally related to,' `functionally related to,' and `conceptually related to.'

Research Topic: The Semantic Web - Reference Pages for Higher Education The semantic web is a complex and exciting technology that will change how we work in the information age, and how we interact with the Internet. To support research activity within the field of Education, this site provides dynamic links to resources around the world. Gathered here, you will find: * a vision for educational application of learning made possible with semantic web technologies, * a general reference resource for terms and definitions, * technical resources within the field of the semantic web and semantic networking, * case studies of the semantic web applied in different fields and in education, and * publications and conferences focusing on the semantic web.

John F. Sowa - This is a revised and extended version of an article that was originally written for the Encyclopedia of Artificial Intelligence, edited by Stuart C. Shapiro, Wiley, 1987, second edition, 1992. A semantic network or net is a graphic notation for representing knowledge in patterns of interconnected nodes and arcs. Computer implementations of semantic networks were first developed for artificial intelligence and machine translation, but earlier versions have long been used in philosophy, psychology, and linguistics. What is common to all semantic networks is a declarative graphic representation that can be used either to represent knowledge or to support automated systems for reasoning about knowledge. Some versions are highly informal, but other versions are formally defined systems of logic. Following are six of the most common kinds of semantic networks, each of which is discussed in detail in one section of this article.

The Semantic Network Service (SNS) of the Federal Environment Agency provides support for all questions concerning environmental terms including the common place names. SNS contains a bi-lingual (German/English) semantic network which consists of three components: * the Environmental Thesaurus UMTHES® with more than 50,000 inter-networked terms. (Descriptors and Non-Descriptors). * the Geo-Thesaurus-Environment (GTU) with more than 25,000 geographic names and the spatial intersections of all these places. * an Environmental Chronology containing more than 600 contemporary and historical events that affected the environment.

A semantic network is a directed graph consisting of nodes (also termed points or vertices) which represent concepts and edges (also termed lines or arcs) which represent semantic relations between the concepts. A kind of knowledge representation used, for example, in hypertext systems.

About the Conference The vision of the Semantic Web is to enhance today's Web by exploiting machine-processable metadata. The explicit representation of the semantics of data, enriched with domain theories (ontologies), will enable a web that provides a qualitatively new level of service. It will weave together a large network of human knowledge and makes this knowledge machine-processable. Various automated services will help the users to achieve their goals by accessing and processing information in machine-understandable form. This network of knowledge systems will ultimately lead to truly intelligent systems, which will be employed for various complex decision-making tasks.

Topic: Semantic Web Recent Posts in this Topic 5Cs Dave Snowden revises and reprises his conditions of complexity. Including this one: "Constraint is key to understanding complexity, it governs the transition between the three ontologies. Increase constraint and you create an ordered system; do that inappropriately and you create the conditions for catastrophic failure; remove constraint and the system is chaotic. Lightly constrain the system, while allowing it to be modified by the actors within it and you enable evolution and the emergence of meaning. Managing constrains is one of the things you can train managers to do, and measure their capability and effectiveness." Do I agree with that? I don't know. How do you constrain them. Who does the constraining? With networks there can be natural limits, which prevents them from being scale free. But I don't think this is what Snowden means. Dave Snowden, Cognitive Edge, October 23, 2008 [Link] [Tags: Ontologies, Networks, Semantic Web] [Comment]

"The Disco - Hyperdata Browser is a simple browser for navigating the Semantic Web. The browser renders all information, that it can find on the Semantic Web about a specific resource, as an HTML page. This resource description contains hyperlinks that allow you to navigate between resources. While you move from resource to resource, the browser dynamically retrieves information by dereferencing HTTP URIs and by following rdfs:seeAlso links."

"Semantic Web Landscape 2009"

This document concerns the management of the output of insight generators, the software agents utilized in the insight generation systems. The solution to managing these reports involves the automatic creation of a repository for all materials generated by various insight generators; this repository allows the user to navigate through this continually growing space of marketing reports, gaining new insights about the relationships between items of interest and adding new insights in the process. The goal of the system is to make all marketing information and insights generated by the man/machine interaction available to the user, so that there is a convergence towards a "conservation of information". To use a geometric metaphor, the goal is to make the user equidistant from all information at all times, as illustrated below.

Tamara Munzner Ph.D. dissertation, Stanford University, June 2000. Abstract *Visualization/graphing strategy for large semantic networks is described. Very technical.* Many real-world domains can be represented as large node-link graphs: backbone Internet routers connect with 70,000 other hosts, mid-sized Web servers handle between 20,000 and 200,000 hyperlinked documents, and dictionaries contain millions of words defined in terms of each other. Computational manipulation of such large graphs is common, but previous tools for graph visualization have been limited to datasets of a few thousand nodes. Visual depictions of graphs and networks are external representations that exploit human visual processing to reduce the cognitive load of many tasks that require understanding of global or local structure. We assert that the two key advantages of computer-based systems for information visualization over traditional paper-based visual exposition are interactivity and scalability. We also argue that designing visualization software by taking the characteristics of a target user's task domain into account leads to systems that are more effective and scale to larger datasets than previous work.

The use of the semantic web in education is explored. Two application areas for use are discussed: a) software agents that support teachers in performing their tasks in flexible online educational settings, and b) software agents that interpret the structure of distributed, self-organized, self-directed learning networks for lifelong learning. The resulting information is used by learners to help persons them perform their tasks in this context more effectively and efficiently.

Vic's compendium of software that supports knowledge management and information organisation in graphical form. Includes mind mappers, concept mappers, outliners, hierarchical organisers, KM support and knowledge browsers, 2D and 3D. The opinions are Vic's but material in quotes that follows "What they say" is quoted from the vendors' web sites. Product names used in this web site are for identification purposes only and trademarks are the property of their respective owners. Please let me know of any software that isn't here but should be: Vic at the above domain.

Free mind mapping via Web application