Semantic queries allow for queries and analytics of associative and contextual nature. Semantic queries enable the retrieval of both explicitly and implicitly derived information based on syntactic, semantic and structural information contained in data. They are designed to deliver precise results (possibly the distinctive selection of one single piece of information) or to answer more fuzzy and wide open questions through pattern matching and digital reasoning.
Semantic queries work on named graphs, linked data or triples. This enables the query to process the actual relationships between information and infer the answers from the network of data. This is in contrast to semantic search, which uses semantics (meaning of language constructs) in unstructured text to produce a better search result. (See natural language processing.)
From a technical point of view, semantic queries are precise relational-type operations much like a database query. They work on structured data and therefore have the possibility to utilize comprehensive features like operators (e.g. >, < and =), namespaces, pattern matching, subclassing, transitive relations, semantic rules and contextual full text search. The semantic web technology stack of the W3C is offering SPARQL[1][2] to formulate semantic queries in a syntax similar to SQL. Semantic queries are used in triplestores, graph databases, semantic wikis, natural language and artificial intelligence systems.
^"Introducing SPARQL: Querying the Semantic Web". XML.com. 2005.
Semanticqueries allow for queries and analytics of associative and contextual nature. Semanticqueries enable the retrieval of both explicitly and implicitly...
recursive acronym for SPARQL Protocol and RDF Query Language) is an RDF query language—that is, a semanticquery language for databases—able to retrieve and...
Semantic search denotes search with meaning, as distinguished from lexical search where the search engine looks for literal matches of the query words...
The Semantic Web, sometimes known as Web 3.0 (not to be confused with Web3), is an extension of the World Wide Web through standards set by the World Wide...
relationships between pages, in ways that can be queried or exported like a database through semanticqueries. Semantic wikis were first proposed in the early 2000s...
Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between...
A semantic layer is a business representation of corporate data that helps end users access data autonomously using common business terms managed through...
implementation of the Rete algorithm Prova, a semantic-web rule engine which supports data integration via SPARQL queries and type systems (RDFS, OWL ontologies...
Semantic matching is a technique used in computer science to identify information which is semantically related. Given any two graph-like structures,...
graph database (GDB) is a database that uses graph structures for semanticqueries with nodes, edges, and properties to represent and store data. A key...
Semantic memory refers to general world knowledge that humans have accumulated throughout their lives. This general knowledge (word meanings, concepts...
A query string is a part of a uniform resource locator (URL) that assigns values to specified parameters. A query string commonly includes fields added...
exotic meaning representations, like query graphs, semantic graphs, or vector representations. Most modern deep semantic parsing models are either based on...
purpose-built database for the storage and retrieval of triples through semanticqueries. A triple is a data entity composed of subject–predicate–object, like...
Semantic discord is the situation where two parties disagree on the definition of a word(s) that is essential to communicating or formulating the concept(s)...
alleviates this hierarchy problem and enables users to query for data in an intuitive fashion. Semantic file systems raise technical design challenges as indexes...
understanding of the domain, so the semantic intention of the query can be seen on the query itself. Unlike SPARQL, SQL query, which reflects the specific structure...
The Semantic Web Stack, also known as Semantic Web Cake or Semantic Web Layer Cake, illustrates the architecture of the Semantic Web. The Semantic Web...
the World Wide Web using OpenLink Virtuoso. DBpedia allows users to semanticallyquery relationships and properties of Wikipedia resources, including links...
2008). "SPARQL Query Language for RDF". W3C. World Wide Web Consortium. Herman, Ivan (15 January 2008). "SPARQL is a Recommendation". Semantic Web Activity...
In computer science, an abstract semantic graph (ASG) or term graph is a form of abstract syntax in which an expression of a formal or programming language...
very much the problem that the Semantic Web is concerned with. Researchers in the iMemex project provide the following query examples: “Show me all LaTeX...
of lexicology. Since lexicology studies the meaning of words and their semantic relations, it often explores the history and development of a word. Etymologists...
http://example.name#JohnDoe34. Given this precise representation, semantic data can be unambiguously queried and reasoned about. The components of a triple, such as...
forth by Leonard Talmy, George Lakoff and Dirk Geeraerts. Some cognitive semantic frameworks, such as that developed by Talmy, take into account syntactic...
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