Applied Semantic Web Technologies

The swift development of semantic internet applied sciences, in addition to the truth that they're at numerous degrees of adulthood, has left many practitioners harassed in regards to the present kingdom of those applied sciences. concentrating on the main mature applied sciences, Applied Semantic net applied sciences integrates idea with case reports to demonstrate the background, present nation, and destiny path of the semantic internet. It keeps an emphasis on real-world purposes and examines the technical and useful concerns on the topic of using semantic applied sciences in clever details administration.

The booklet begins with an advent to the fundamentals—reviewing ontology fundamentals, ontology languages, and examine regarding ontology alignment, mediation, and mapping. subsequent, it covers ontology engineering concerns and provides a collaborative ontology engineering instrument that's an extension of the Semantic MediaWiki. Unveiling a unique method of information and data engineering, the textual content:

  • Introduces state-of-the-art taxonomy-aware algorithms
  • Examines semantics-based provider composition in shipping logistics
  • Offers ontology alignment instruments that use details visualization techniques
  • Explains the right way to enhance the illustration of entity semantics in an ontology
  • Addresses demanding situations in tackling the content material production bottleneck

Using case reports, the ebook presents authoritative insights and highlights worthy classes realized through the authors—information platforms veterans with many years of expertise. They clarify the right way to create social ontologies and current examples of the applying of semantic applied sciences in construction automation, logistics, ontology-driven enterprise method intelligence, choice making, and effort potency in clever houses.

Show description

Quick preview of Applied Semantic Web Technologies PDF

Similar Computer Science books

Web Services, Service-Oriented Architectures, and Cloud Computing, Second Edition: The Savvy Manager's Guide (The Savvy Manager's Guides)

Net prone, Service-Oriented Architectures, and Cloud Computing is a jargon-free, hugely illustrated rationalization of ways to leverage the speedily multiplying providers to be had on the net. the way forward for company is determined by software program brokers, cellular units, private and non-private clouds, sizeable information, and different hugely attached know-how.

Software Engineering: Architecture-driven Software Development

Software program Engineering: Architecture-driven software program improvement is the 1st entire consultant to the underlying abilities embodied within the IEEE's software program Engineering physique of information (SWEBOK) usual. criteria professional Richard Schmidt explains the normal software program engineering practices well-known for constructing tasks for presidency or company platforms.

Platform Ecosystems: Aligning Architecture, Governance, and Strategy

Platform Ecosystems is a hands-on advisor that gives an entire roadmap for designing and orchestrating brilliant software program platform ecosystems. in contrast to software program items which are controlled, the evolution of ecosystems and their myriad individuals has to be orchestrated via a considerate alignment of structure and governance.

Extra resources for Applied Semantic Web Technologies

Show sample text content

It really is winning for approximating human semantics. A try fit for eighty synonyms on TOEFL (Test of English as a overseas Language) and 50 synonyms on ESL (English as a moment Language) exams produced larger ratings in comparison to LSA (Latent Semantic research) and LSI (Latent Semantic Indexing). the subsequent formulation is used to degree similarity: PMI (c1, c2) = log 2 P (c1, c2) P (c1) × P(c2) (5-6) it really is in response to the likelihood (P) of discovering recommendations of curiosity (c1 and c2) in the similar textual content window as opposed to the likelihood (P) of discovering the suggestions individually. P (c1, c2) is the likelihood of discovering either c1 and c2 within the similar window. P (c1) and P (c2) are the chances of discovering c1 and c2 individually. 114  ◾  Saravanan Muthaiyah and Larry Kerschberg five. three. 1. 7  NSS degree (NS) Cilibrasi and Vitanyi (2007) brought the Normalized seek Similarity (NSS) tailored from Normalized Google Distance (NGD). They measured similarities among suggestions utilizing chance of co-occurrences as validated by way of the subsequent equation: NGD (c1, c2)= max {log f (c1), log f (c2)} – log f (c1, c2) logM – min {log f (c1), log f (c2)} (5-7) M is the variety of searchable Google pages, and f(x) is the variety of pages that Google seek returns for looking out x. NGD relies at the Google seek engine. The equation can also be used with different textual content corpora reminiscent of Wikipedia, long island instances, undertaking Gutenberg, Google teams, and Enron e mail corpus. five. three. 1. eight  GLSA, LSA, and SA degree (SA) Landauer and Dumais (1997) brought LSA (Latent Semantic Analysis). It makes use of Singular worth Decomposition (SVD) to investigate relationships of suggestions in a suite of textual content. it's a totally computerized computational strategy for representing the which means of textual content. A passage is seen as a linear equation and its that means is a sum of phrases corresponding to m (passage) = m (word1) + m (word 2) + m(wordn). Eigenvalue is used for ordering the vector and cosine values are used to symbolize similarities: cosθxy = x. y / | x | | y | (5-8) LSA presents larger effects than key-phrase matching; for instance, doctor–doctor fit supplies a 1. zero rating for either LSA and key-phrase fit. besides the fact that, doctor–­physician ratings zero. eight for LSA and zero for key-phrase fit. reason why LSA is best. GLSA (Generalized LSA) computes time period vectors for vocabulary V of record assortment C utilizing corpus W (Matveeva et al. 2007). Anderson and Pirolli (1984) brought Spreading Activation (SA) that makes use of a semantic community to version human reminiscence utilizing a Bayesian research. the subsequent is their formulation to degree similarity: SA(w1, w2) = log P(X = 1|Y = 1) P(X = 1|Y = zero) (5-9) five. three. 1. nine  WordNet Similarity degree (WN) The similarity degree software is an open-source Perl module constructed on the college of Minnesota. It permits a consumer to degree the semantic similarities among a couple of strategies. It offers six measures of similarity and 3 SRS: A Hybrid Ontology Mediation and Mapping process  ◾  a hundred and fifteen measures of relatedness in line with the WordNet lexical database.

Download PDF sample

Rated 4.70 of 5 – based on 32 votes