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Download Advances in Web Semantics I: Ontologies, Web Services and by Tharam S. Dillon, Elizabeth Chang, Robert Meersman, Katia PDF

By Tharam S. Dillon, Elizabeth Chang, Robert Meersman, Katia Sycara (auth.), Tharam S. Dillon, Elizabeth Chang, Robert Meersman, Katia Sycara (eds.)

ISBN-10: 3540897836

ISBN-13: 9783540897835

This e-book constitutes the 1st quantity of a chain of books targeting the important and ever-growing box of internet semantics. the first goal of the sequence is to enquire, current and advertise middle suggestions, principles and exemplary applied sciences for the subsequent iteration of semantic net study, stemming from either academia and undefined. themes lined will comprise method semantics, internet companies, ontologies, workflows, belief and popularity, and net applications.

The 14 papers during this quantity, written by means of key scientists within the box, are preceded by means of an creation written by means of the amount editors. The papers were divided into 3 sections on Ontologies and data Sharing, utilized Semantic internet, and internet Services.

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Extra resources for Advances in Web Semantics I: Ontologies, Web Services and Applied Semantic Web

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1). Since our focus in on the process as a whole, we will base our analysis on the completed process instances only. Note that it does not make much sense to talk about the most frequent path if Process Mining towards Semantics 45 it is not complete, or reason about throughput time of cases when some of them are still running. In short, we need to pre-process (or clean or filter) the logs. In ProM, a log can be filtered by applying the provided Log Filters. In Figure 4 you can see three log filters (see bottom-left of the panel with the log): Event Types, Start Event and End Event.

The second part utilizes usage scenarios to motivate how process mining techniques could benefit from semantic annotated event logs and defines a concrete semantic log format for ProM. org. 1 Introduction Nowadays, most organizations use information systems to support the execution of their business processes [21]. Examples of information systems supporting operational processes are Workflow Management Systems (WMS) [10,15], Customer Relationship Management (CRM) systems, Enterprise Resource Planning (ERP) systems and so on.

Exported log filters can be imported into ProM at a later moment and applied to a (same) log. ]→Open Log Filter (advanced). If you like, you can export the filtered log for our running example. Can you open this exported log into ProM? What do you notice by inspecting this log? Note that your log should only contain 1000 cases and they should all start and end with a single task. Process Mining towards Semantics 47 Table 4. Discovery Plug-ins: questions and pointers to answers Question Subsection How are the cases actually being executed?

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