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KMi Seminars
Learning Web Service Ontologies: Two Extraction Methods and their Evaluation
This event took place on Monday 11 October 2004 at 12:30

 
Dr. Marta Sabou KMi, The Open University

The promise of Semantic Web Services, that of automatic discovery and configuration of semantically described web services, depends on the existence of high quality ontologies that describe the domains of web services as well as their main functionalities. While only few ontologies designed for web service description exist, building such ontologies is time consuming and difficult.

To address this problem, we have built two semi-automatic methods for extracting web service ontologies from textual sources attached to web services (or their underlying implementations). The first method uses extraction patterns applied on the output of a Part Of Speech Tagger, also called surface patterns. The second method relies on deeper linguistic analysis, by employing a dependency checker. This allows writing more complex extraction patterns (called syntactic patterns) and therefore identifying more ontological elements (subsumption hierarchy, meronymy) than with the first method. The talk will describe these extraction methods and their evaluation in two real-life case studies.

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KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Knowledge Management is...


Knowledge Management
Creating learning organisations hinges on managing knowledge at many levels. Knowledge can be provided by individuals or it can be created as a collective effort of a group working together towards a common goal, it can be situated as "war stories" or it can be generalised as guidelines, it can be described informally as comments in a natural language, pictures and technical drawings or it can be formalised as mathematical formulae and rules, it can be expressed explicitly or it can be tacit, embedded in the work product. The recipient of knowledge - the learner - can be an individual or a work group, professionals, university students, schoolchildren or informal communities of interest.
Our aim is to capture, analyse and organise knowledge, regardless of its origin and form and make it available to the learner when needed presented with the necessary context and in a form supporting the learning processes.