By Dieter Fensel, Borys Omelayenko, Ying Ding, Michel Klein, Alan Flett, Ellen Schulten, Guy Botquin, Mike Brown, Gloria Dabiri (auth.)
Internet and internet expertise penetrates many points of our lifestyle. Its significance as a medium for enterprise transactions will develop exponentially throughout the following few years. by way of the concerned marketplace quantity, the B2B zone will hereby be the main attention-grabbing quarter. additionally, will probably be where, the place the recent expertise will result in drastic adjustments in verified purchaser relationships and company versions. In an period the place open and versatile digital trade presents new sorts of providers to its clients, easy 1-1 connections could be changed by means of n-m relationships among buyers and owners.
This new flexibility in digital buying and selling will generate severe demanding situations. the most challenge stems from the heterogeneity of data descriptions utilized by proprietors and shoppers, growing difficulties in either guide buying and selling and in direct 1-1 digital buying and selling. when it comes to B2B industry locations, it turns into too critical to be missed. Product descriptions, catalog codecs and company records are usually unstructured and non-standardized. clever strategies that mechanize the structuring, standardizing, aligning, and personalizing approach are a key needful for effectively overcoming the present bottlenecks of B2B digital trade whereas permitting its extra progress. clever details Integration in B2B digital trade discusses the most difficulties of knowledge integration during this region and sketches a number of technological answer paths.
Intelligent details Integration in B2B digital Commerce is designed to fulfill the wishes of a pro viewers composed of researchers and practitioners in and graduate point scholars in desktop Science.
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Extra resources for Intelligent Information Integration in B2B Electronic Commerce
The UCEC standard is based on the first four hierarchy levels of the UN/SPSC classification: segment, family, class, and commodity. This classification is enriched with the attributes which can be distributed on every level, and are inherited at the commodity level. The attributes are grouped in: repository attributes, marketing attributes, logistics attributes and service attributes. Another horizontal standard, eCl@ss25 , supports the flow of products and information along the supply chain of an industrial enterprise and is mainly used in Germany.
This could for example be achieved through reference to an existing product ontology. In the remainder of the Chapter, we will discuss in more detail the sub-tasks of information extraction: Capturing the schema information, deriving extraction rules, and fmally, extracting the data. 1. CAPTURING SCHEMA INFORMATION Textual product descriptions usually echo the idiosyncrasies of the manufacturing company. Even if, within a company, the product description is fully or semi-standardized within a vertical market covering many such companies, a strong heterogeneity of product descriptions will persist.
Product attributen = valuen, and a textual description of the product. e. UN/SPSC product code), which corresponds with the product. The categories are usually encoded with the numbers (codes), that are described in the standard specification with the following attributes: a category name, the path of the category in the classification scheme, the set of attributes (which is empty in the case of UN/SPSC), the set of associated keywords, and a textual description of the category. In the example shown in Figure 6 the product Car is represented with five attributes: Name, Colour, Engine, Net Power, and Net is classified to the class automobile, with the path product - physical - transportation public.
Intelligent Information Integration in B2B Electronic Commerce by Dieter Fensel, Borys Omelayenko, Ying Ding, Michel Klein, Alan Flett, Ellen Schulten, Guy Botquin, Mike Brown, Gloria Dabiri (auth.)