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BAH DAML Tools XML To DAML Query Relevance Assessor DAML XSLT Adapter.

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Presentation on theme: "BAH DAML Tools XML To DAML Query Relevance Assessor DAML XSLT Adapter."— Presentation transcript:

1 BAH DAML Tools XML To DAML Query Relevance Assessor DAML XSLT Adapter

2 XML To DAML The high level tasks in order are 1XML Schema to DAML- current task 2XML DTD to DAML - via XML Spy as a preprocessor 3XML Content to DAML - dependent on the language map XML Schema to DAML Accomplishments –Import problem solved: Graphs of XML schemas can be translated over time –Core XML Schema components currently supported Namespace & nonamespace schemas Simple/complex element declarations & Attribute declarations Global/anonomous attribute groups, model groups, & complex type declarations –sequence (currently without order semantics), choice (based on a daml set difference), & all –attributes & attribute refs, simple/complex elements & element refs, & group refs –The language map - cascading Restrictions model nested XML schema components Challenges –The harder portions of the language map includes –fixed/default/null values, mixed/empty content, derivation by restriction/extension –order semantics, elemement substitution groups, abstract elements/types, block/final, wildcards

3 Query Relevance Assessor(QRA) Query Relevance Assessment with the QRA is HOT... Demonstrates how DAML can be used to enhance the accuracy and precision of WWW text retrieval by relevance ranking DAML mark-up Exploits the wealth of contextual knowledge contained within DAML ontology classes, properties, and instances Imparts a semantic component to relevance rankings of DAML-annotated text with respect to query terms when only minimal query context may be available Achieves a minimal loss of semantic information important for relevance ranking... yet significant CHALLENGES remain Incorporate indirect relevance ranking and free text search Address semantic heterogeneity Support multi-term queries in a semantically appropriate fashion Investigate incorporation of machine learning methods for categorizing DAML mark-up

4 DAML XSLT Whats Hot with DAML XSLT! –Enables an end user to perform a myriad number of unique transformations on a DAML resource (mark up) leveraging current XSLT technology. –Makes DAML useful to a much wider audience of users (it offers a quick and easy way to exploit the power of DAML, and package it into a familiar form, such as: XML, HTML, WML, BizTalk, etc.) Accomplishments –Built a new DAML Instance Model and converted DAML to representative XML by encoding DAML cycles into cycles-less XML. –Created a powerful, reusable Java component for DAML transformation Challenges –Scalability - Large Data Sets -How much is too much? Currently No Partial DAML Conversion Add Input Filters to pare down large data sets –Choice of Root Node for the Representative XML –Ordering of XML Elements –Currently uses alphabetical sorting of Subjects and Predicates –Use a style sheet to impose ordering/filtering/sorting of elements –Continued Development of a robust DAML Instance Model –Focus on instance data creation, visualization, navigation, and manipulation –Multi-Pass DAML Translation –Current XSLT is single-pass only –Leverage DAML cycles, relationships, etc.

5 BAH DAML Website The July PI meeting presentations can be found at


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