Powerful Search Engine designed for Document Management, Competitive Intelligence, Press Analysis and Text Mining, Web Mining, Knowledge Discovery, Strategic Watch...Has Report Writer, Web Spider, Publisher, more...
What Topic Maps Do
When XML is introduced into an organization it is usually used for one of two purposes: either to structure the organization's documents or to make that organization's applications talk to other applications. These are both useful ways of using XML, but they will not help anyone find the information they are looking for. What changes with the introduction of XML is that the document processes become more controllable and can be automated to a greater degree than before, while applications can now communicate internally and externally. But the big picture, something that collects the key concepts in the organization's information and ties it all together, is nowhere to be found.
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I will discuss how RSS and its taxonomy module can be used as a central format to carry metadata collected in a classical news format, such as XMLNews-Story, to RDF or relational databases and XML Topic Maps. Readers should have basic familiarity with RSS
I will discuss how RSS and its taxonomy module can be used as a central format to carry metadata collected in a classical news format, such as XMLNews-Story, to RDF or relational databases and XML Topic Maps. Readers should have basic familiarity with RSS
XFN™ (XHTML Friends Network) is a simple way to represent human relationships using hyperlinks. In recent years, blogs and blogrolls have become the fastest growing area of the Web. XFN enables web authors to indicate their relationship(s) to the people
XFN™ (XHTML Friends Network) is a simple way to represent human relationships using hyperlinks. In recent years, blogs and blogrolls have become the fastest growing area of the Web. XFN enables web authors to indicate their relationship(s) to the people
X-COSIM stands for Cross(X)-COntext Semantic Information Management. X-COSIM consists of an ontology named X-COSIMO and an application programming interface (API) named X-COSIMA. Watch the video!
WordNet is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept.
DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data. We hope this will make it easier for the amazing amount of information in Wikipedia to be used in new and interesting ways, and that it might inspire new mechanisms for navigating, linking and improving the encyclopaedia itself.
We have a limited “Semantic Web” appearing without the complex technologies that have been developed for it. Will the trend continue? Can it, using existing technologies, or will developers eventually ‘find’ RDF, OWL and SPARQL? Should the appeara
We have a limited “Semantic Web” appearing without the complex technologies that have been developed for it. Will the trend continue? Can it, using existing technologies, or will developers eventually ‘find’ RDF, OWL and SPARQL? Should the appeara
The semantic grid uses metadata to describe information in the grid. Turning information into something more than just a collection of data means understanding the context, format, and significance of the data. The semantic Web follows this model by provi
The pioneer of the world wide web is now looking ahead to a new and more sophisticated way of using the internet known as the semantic web. Sir Tim Berners-Lee explains
What is Semantic Similarity? Definition of Semantic Similarity: A concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning/semantic content. ( Wikipedia, 2012e ).
What is Semantic Similarity? Definition of Semantic Similarity: A concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning/semantic content. ( Wikipedia, 2012e ).
What is Semantic Similarity? Definition of Semantic Similarity: A concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning/semantic content. ( Wikipedia, 2012e ).
What is Semantic Similarity? Definition of Semantic Similarity: A concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning/semantic content. ( Wikipedia, 2012e ).
What is Semantic Similarity? Definition of Semantic Similarity: A concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning/semantic content. ( Wikipedia, 2012e ).
I. Titov, und A. Klementiev. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Seite 1445--1455. Portland, Oregon, USA, Association for Computational Linguistics, (Juni 2011)
M. Hildebrand, J. van Ossenbruggen, und L. Hardman. International Semantic Web Conference, Volume 4273 von Lecture Notes in Computer Science, Seite 272-285. Springer, (2006)