Semantic applications (2018)
0.02
0.019369897 = product of:
0.058109686 = sum of:
0.058109686 = weight(_text_:search in 5204) [ClassicSimilarity], result of:
0.058109686 = score(doc=5204,freq=6.0), product of:
0.1747324 = queryWeight, product of:
3.475677 = idf(docFreq=3718, maxDocs=44218)
0.05027291 = queryNorm
0.33256388 = fieldWeight in 5204, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.475677 = idf(docFreq=3718, maxDocs=44218)
0.0390625 = fieldNorm(doc=5204)
0.33333334 = coord(1/3)
- Abstract
- This book describes proven methodologies for developing semantic applications: software applications which explicitly or implicitly uses the semantics (i.e., the meaning) of a domain terminology in order to improve usability, correctness, and completeness. An example is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or controlled vocabularies are the centerpiece of semantic applications. The book includes technological and architectural best practices for corporate use.
- Content
- Introduction.- Ontology Development.- Compliance using Metadata.- Variety Management for Big Data.- Text Mining in Economics.- Generation of Natural Language Texts.- Sentiment Analysis.- Building Concise Text Corpora from Web Contents.- Ontology-Based Modelling of Web Content.- Personalized Clinical Decision Support for Cancer Care.- Applications of Temporal Conceptual Semantic Systems.- Context-Aware Documentation in the Smart Factory.- Knowledge-Based Production Planning for Industry 4.0.- Information Exchange in Jurisdiction.- Supporting Automated License Clearing.- Managing cultural assets: Implementing typical cultural heritage archive's usage scenarios via Semantic Web technologies.- Semantic Applications for Process Management.- Domain-Specific Semantic Search Applications.
