Download Soft Computing in Ontologies and Semantic Web by Zhongli Ding, Yun Peng, Rong Pan (auth.), Zongmin Ma Dr. PDF

By Zhongli Ding, Yun Peng, Rong Pan (auth.), Zongmin Ma Dr. (eds.)

This booklet covers in a good intensity the quick starting to be subject of instruments, innovations and purposes of sentimental computing (e.g., fuzzy good judgment, genetic algorithms, neural networks, tough units, Bayesian networks, and different probabilistic ideas) within the ontologies and Semantic net. How parts of the Semantic internet (like the RDF, Description Logics, ontologies) should be coated with a tender computing concentration is proven. The publication goals to supply a unmarried account of present reviews in smooth computing techniques to the ontologies and the Semantic net. the target of the ebook is to supply the cutting-edge info to researchers, practitioners, and graduate scholars of the internet intelligence, and while serving the knowledge know-how specialist confronted with non-traditional purposes that make the applying of traditional methods tough or impossible.

Show description

Read or Download Soft Computing in Ontologies and Semantic Web PDF

Best computing books

Oracle Fusion Middleware 11g Architecture and Management (1st Edition)

Grasp All facets of Oracle Fusion Middleware Management

Govern a unified platform for agile, clever company functions utilizing the precise info contained during this Oracle Press ebook. Oracle Fusion Middleware 11g structure and administration explains the complete suite of Oracle Fusion Middleware elements and lays out middle use situations, most sensible practices, and step by step administrative directions. realize tips to provision servers and clusters, configure internet providers, deal with portals, and optimize the functionality of the entire stack of Oracle Fusion Middleware parts. tracking, diagnosing, and safeguard also are lined during this definitive resource.

Understand key architectural thoughts in the back of Oracle Fusion Middleware 11g
Create and install Oracle WebLogic Server domain names and clusters
Set up and deal with purposes equipped utilizing Oracle program improvement Framework
Maximize the worth of your Oracle SOA Suite environments
Manage portals and company 2. zero providers from Oracle WebCenter
Secure deployments with Oracle Platform safeguard providers and Oracle id Management
Understand Oracle Exalogic and Oracle digital meeting Builder

Exploring Data with RapidMiner

Discover, comprehend, and get ready genuine info utilizing RapidMiner's functional suggestions and tricks

Overview

• See the way to import, parse, and constitution your facts speedy and effectively
• comprehend the visualization percentages and be encouraged to exploit those together with your personal data
• established in a modular strategy to adhere to straightforward processes

In Detail

Data is in every single place and the volume is expanding lots that the distance among what humans can comprehend and what's on hand is widening relentlessly. there's a large worth in information, yet a lot of this price lies untapped. eighty% of knowledge mining is set figuring out facts, exploring it, cleansing it, and structuring it in order that it may be mined. RapidMiner is an atmosphere for laptop studying, facts mining, textual content mining, predictive analytics, and enterprise analytics. it truly is used for learn, schooling, education, speedy prototyping, software improvement, and business applications.

Exploring info with RapidMiner is full of useful examples to assist practitioners become familiar with their very own information. The chapters inside of this booklet are prepared inside an total framework and will also be consulted on an ad-hoc foundation. It offers uncomplicated to intermediate examples exhibiting modeling, visualization, and extra utilizing RapidMiner.

Exploring facts with RapidMiner is a useful advisor that offers the $64000 steps in a logical order. This booklet begins with uploading information after which lead you thru cleansing, dealing with lacking values, visualizing, and extracting additional info, in addition to figuring out the time constraints that actual info areas on getting a consequence. The ebook makes use of actual examples that will help you know the way to establish procedures, speedy. .

This ebook provides you with an outstanding realizing of the probabilities that RapidMiner offers for exploring info and you'll be encouraged to exploit it on your personal work.

What you are going to examine from this book

• Import actual facts from records in a number of codecs and from databases
• Extract positive factors from established and unstructured data
• Restructure, decrease, and summarize information that can assist you know it extra simply and technique it extra quickly
• Visualize information in new how you can assist you comprehend it
• discover outliers and strategies to deal with them
• become aware of lacking facts and enforce how you can deal with it
• comprehend source constraints and what to do approximately them

Approach

A step by step instructional type utilizing examples in order that clients of other degrees will enjoy the amenities provided by way of RapidMiner.

Who this e-book is written for

If you're a computing device scientist or an engineer who has actual facts from that you are looking to extract worth, this ebook is perfect for you. it is important to have no less than a easy understanding of information mining ideas and a few publicity to RapidMiner.

Distributed computing in sensor systems: third IEEE international conference, DCOSS 2007, Santa Fe, NM, USA, June 18-20, 2007: proceedings

The booklet constitutes the refereed complaints of the 3rd overseas convention on allotted Computing in Sensor platforms, DCOSS 2007, held in Sante Fe, NM, united states in June 2007. The 27 revised complete papers provided have been rigorously reviewed and chosen from seventy one submissions. The papers type in 3 tracks protecting the components of algorithms, purposes, and structures, hence bridging the distance among idea and perform and among the wider box of dispensed computing and the explicit concerns coming up in sensor networks and similar structures.

Soft Computing in Industrial Applications

The fifteenth on-line global convention on tender Computing in business purposes, hung on the web, constitutes a particular chance to give and talk about prime quality papers, applying refined net instruments and with out incurring in excessive fee and, hence, facilitating the participation of individuals from the full global.

Extra resources for Soft Computing in Ontologies and Semantic Web

Sample text

6. The input of the implementation is an RDF(S) ontology, the URI of the root node of the overlap graph, and the URI of the subsumption property used in the ontology. Additionally, also an RDF data file that contains data records annotated according to the ontology may be given. The output is the overlap tables for every concept in the taxonomy extracted from the input RDF(S) ontology. Next, each submodule in the system is discussed briefly. The preprocessing module transforms the taxonomy into a predefined standard form.

For example, in Fig. 5 Lapland was connected directly to Russia, then the information about the disjointness of Lapland and Asia would have been lost. Modeling Uncertainty in Semantic Web Taxonomies 39 5 Computing the Overlaps Based on the solid path structure, the overlap table values o for a selected concept A and a referred concept B could be calculated by the algorithm 2, where notation Xs denotes the set of (sub)concepts subsumed by the concept X. The overlap table for A could be implemented by going through all the concepts of the graph and calculating the overlap value according to the above algorithm.

Web directory alignment is the task of learning mappings between heterogeneous Web directory classes. Our approach is based on a logical framework, which is combined with probability theory (probabilistic Datalog), and aims at finding the optimum mapping (the mapping with the highest matching probability). It borrows from other approaches like GLUE [11] the idea of combining several specialized components for finding the best mapping. Using a probabilistic, logic-based framework bears some nice features: First, in many cases mappings are not absolutely correct, but hold only with a certain probability.

Download PDF sample

Rated 4.62 of 5 – based on 43 votes