Semantic Vector Encoding and Similarity Search Using Fulltext Search Engines (2017)(About) > The ubiquity of semantic vector space modeling raises the challenge of efficient searching in dense, high-dimensional vector spaces. We would naturally want to take advantage of the design and optimizations behind modern fulltext engines like Elasticsearch so as to meet the scalability and robustness demands of modern IR applications. This is the research challenge addressed in this paper.
> The paper describes novel ways of encoding dense vectors into text documents, allowing the use of traditional inverted index engines.
PoolParty » SKOS Thesaurus Management – Semantic Search – Linked Data(About) PoolParty is a thesaurus management system and a SKOS editor for the Semantic Web including text mining and linked data capabilities. The system helps to build and maintain multilingual thesauri providing an easy-to-use interface. PoolParty server provides semantic services to integrate semantic search or recommender systems into systems like CMS, DMS, CRM or Wikis
But, it is expensive.
Semantic Search Arrives at the Web(About) There are two approaches toward semantic search and both have received attention in the past months. The first approach builds on the automatic analysis of text using Natural Language Processing (NLP). The second approach uses semantic web technologies, which aims to make the web more easily searchable by allowing publishers to expose their (meta)data.