Videos tagged with Semantic Web

This tutorial covers the field of datamining in general, talks about its possible applications (special case studies can be added on request), and elaborates on the issue of hardware accelerators for datamining. The introduction gives a formal and an informal definition (through an example), plus it points to possible missunderstandings typical of the topic. The part on methods and algorithms c...

Currently, the web phenomenon that is driving the best developers and captivating the best entrepreneurs is Web 2.0. Web 2.0 encompasses some of today's most exciting web-based applications: mashups, blogs/wikis/feeds, interface remixes, and social networking/tagging systems. Although most Web 2.0 applications rely on an implicit, lightweight, shared semantics in order to deliver user value, by...

In this tutorial we will review fundamentals of web usage mining - theory, case studies and related topics. Web usage mining is a topic which became in the late 90ties one of the first profitable areas of data mining and which was necessity for the succesful e-commerce companies to understand better their customers, their behaviour and to optimize the e-services accordingly. In this tutorial le...

As the Internet continues to change the way we live, find information, communicate, and do business, it has also been taking on a dramatically increasing role in marketing and advertising. Unlike any prior mass medium, the Internet is a unique medium when it comes to interactivity and offers ability to target and program messaging at the individual level. Coupled with its uniqueness in the rich...

The Semantic Web is an ecosystem of interaction among computer systems. The social web is an ecosystem of conversation among people. Both are enabled by conventions for layered services and data exchange. Both are driven by human-generated content and made scalable by machine-readable data. Yet there is a popular misconception that the two worlds are alternative, opposing ideologies about how t...

Lecture slides: A Short Semantic Web Tutorial Karlsruhe: Location for Semantic Technologies KAON slide4 Semantic Web Machine accessible meaning (What it’s like to be a machine) Semantic Web Layers (T. Berners-Lee et al.) XML: XML: Document = labelled tree XML: limitations for semantic markup XML: machine accessible meaning The semantic pyramid again RDF for semantic annotation What does R...

Lecture slides: Ontology Plugins (gate 3.1 beta 1) Create New Ontology LR Loading extra data Create New Ontology LR View classes View instances Ontology API Onto gazetteer JAPE and Ontologies Results Sample use Some Terminology Learning Ontologies with GATE Example Ontology Learning Approach JAPE Patterns for Ontology Learning Populating Ontologies with IE Towards Semantic Tagging of Entities T...

We address the problem of constructing light-weight ontology from social network data. As an example we use social network of a mid size research institution obtained based on e-mail communication. The main contribution is an architecture consisting from five major steps that enable transformation of the data from a given e-mail transactions recordings to an ontology estimating the structure of...

Analysis of texts is an obvious way for semantic annotation and extraction of structured knowledge. A basic task is the recognition of references to entities (people, locations, organizations, etc). A next step is relation extraction, e.g. identifying that an organization is located in a particular city. Automatic extraction of such relations is a tough linguistic problem - the solutions are ei...

Lecture slides: What is Text-Mining? Which areas are active in Text Processing? Tutorial Contents Why Text is Tough? (M.Hearst 97) Why Text is Easy? (M.Hearst 97) Levels of Text Processing 1/6 Words Properties Stop-words Words Properties. Stop-words. After the stop-words removal Information Systems Asia Web provides research IS-related commercial materials interaction research sponsorship inter...