Search (2 results, page 1 of 1)
- Did you mean:
- author's%3a%22Robbio%2c A. de%22 2
- authors%3a%22Robbio%2c A. de%22 2
-
Semantic applications (2018)
0.00
0.001564268 = product of: 0.004692804 = sum of: 0.004692804 = weight(_text_:a in 5204) [ClassicSimilarity], result of: 0.004692804 = score(doc=5204,freq=4.0), product of: 0.05209492 = queryWeight, product of: 1.153047 = idf(docFreq=37942, maxDocs=44218) 0.045180224 = queryNorm 0.090081796 = fieldWeight in 5204, product of: 2.0 = tf(freq=4.0), with freq of: 4.0 = termFreq=4.0 1.153047 = idf(docFreq=37942, 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.
-
Manning, C.D.; Raghavan, P.; Schütze, H.: Introduction to information retrieval (2008)
0.00
8.848836E-4 = product of: 0.0026546507 = sum of: 0.0026546507 = weight(_text_:a in 4041) [ClassicSimilarity], result of: 0.0026546507 = score(doc=4041,freq=2.0), product of: 0.05209492 = queryWeight, product of: 1.153047 = idf(docFreq=37942, maxDocs=44218) 0.045180224 = queryNorm 0.050957955 = fieldWeight in 4041, product of: 1.4142135 = tf(freq=2.0), with freq of: 2.0 = termFreq=2.0 1.153047 = idf(docFreq=37942, maxDocs=44218) 0.03125 = fieldNorm(doc=4041) 0.33333334 = coord(1/3)
- Content
- Inhalt: Boolean retrieval - The term vocabulary & postings lists - Dictionaries and tolerant retrieval - Index construction - Index compression - Scoring, term weighting & the vector space model - Computing scores in a complete search system - Evaluation in information retrieval - Relevance feedback & query expansion - XML retrieval - Probabilistic information retrieval - Language models for information retrieval - Text classification & Naive Bayes - Vector space classification - Support vector machines & machine learning on documents - Flat clustering - Hierarchical clustering - Matrix decompositions & latent semantic indexing - Web search basics - Web crawling and indexes - Link analysis Vgl. die digitale Fassung unter: http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf.
Authors
Themes
Subjects
- Anwendungssystem 1
- Artificial Intelligence (incl. Robotics) 1
- Artificial intelligence 1
- Computer Science 1
- Computer science 1
- Data Mining 1
- Data Mining and Knowledge Discovery 1
- Data mining 1
- Document clustering 1
- Dokumentverarbeitung / Information Retrieval / Abfrageverarbeitung (GBV) 1
- Information Retrieval 1
- Information Retrieval / Einführung (BVB) 1
- Information Storage and Retrieval 1
- Information Systems Applications (incl. Internet) 1
- Information retrieval 1
- Information storage and retrieval 1
- Management information systems 1
- Management of Computing and Information Systems 1
- Ontologie <Wissensverarbeitung> 1
- Semantic Web (BVB) 1
- Semantisches Netz 1
- Text processing (Computer science) 1
- Textverarbeitung (BVB) 1
- Wissensbasiertes System 1
- World Wide Web / Suchmaschine (HBZ) 1
- More… Less…
Classifications
- 006.312 / DDC23ger 1
- 006.33 / DDC23ger 1
- 025.04 1
- 54.64 / Datenbanken 1
- AZE (PB) 1
- QA76.9.T48 1
- ST 205 1
- ST 270 1
- ST 515 1
- TWP (PB) 1
- More… Less…