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 ).
Babelfy is a unified graph-based approach to multilingual Entity Linking and Word Sense Disambiguation based on a loose identification of candidate meanings coupled with a densest subgraph heuristic which selects high-coherence semantic interpretations.
LOD-a-lot democratizes access to the Linked Open Data (LOD) Cloud by serving more than 28 billion unique triples from 650K datasets from a single self-indexed file. This corpus can be queried online with a sustainable Linked Data Fragments interface, or it can be downloaded and consumed locally: LOD-a-lot is easy to deploy and only requires limited resources (524 GB of disk space and 15.7 GB of RAM), enabling web-scale repeatable experimentation and research from a high-end laptop.
"Thesauri and the semantic web", [Brussels, Belgium: ATHENA Workshop: Europeana and the accessibility of the digital cultural heritage](Roxanne Wyns): http://www.athenaeurope.org/getFile.php?id=481
Suchmaschinen werden von Internetusern täglich genutzt. Nach etwas „googeln“ hat es als Synonym für die Suche im Netz nicht nur ins umgangssprachliche Vokabular, sondern auch in den Duden geschafft. Eine Suchmaschine zu bedienen ist einfach und intuitiv – die Anwender geben einen Begriff ein und erwarten, die relevantesten Treffer zu finden. Um diese Erwartungshaltung zu erfüllen, müssen Entwickler von Such-Engines hoch komplexe Beziehungen und logische Prozesse beachten. „Semantische Suche“ ist dafür die Lösung. Dieser Artikel erklärt, was dahinter steckt.
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