representation without reason: slow progress toward the semantic web jim greer aries laboratory...
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![Page 1: Representation without Reason: Slow Progress toward the Semantic Web Jim Greer ARIES Laboratory Computer Science, University of Saskatchewan](https://reader035.vdocuments.us/reader035/viewer/2022072006/56649cff5503460f949d0597/html5/thumbnails/1.jpg)
Representation without Reason:
Slow Progress toward the Semantic Web
Jim GreerARIES Laboratory
Computer Science, University of Saskatchewan
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The Attraction of Ontologies
Shared meanings Nice formal representationSound reasoning facilityOnce built, they remain stableBuilding an ontology brings deep
understanding and requires reflection
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Concept Maps and Taxonomies
Historically useful in educationLearning is strengthened by
constructing concept mapsSocial construction of knowledgeA small leap from taxonomy to
ontology?
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Formal models and meaning
Semantics through links, rules, and propagation
RDF triples for micro-content Foundation of our MUMS systemAggregation and abstraction
Our early work on granularity
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Indexing content
Ontologies are convenient to useSimple representationTrivial inference needed
Propagation through link semantics
Natural to attach metadataBut can we all agree? Must we?Do we need more than taxonomies?
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Our Ontology work
Debate over “the” representationDomain concepts are fluidFall back to concept mappingSemantics weakenTop-down reasoning vanishesResort to folksonomies/data-
mining
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Tempting E-Learning Illusions
Concept maps => OntologiesTeachers / learners can understand
ontologiesTeachers, learners and machines have a
common understanding of an ontologyUsers will embrace ontologiesEasy to build an ITS once the ontology is
right
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“My own” ontology
Formal modelling tool based on consensus
Gaining popularity in MDA (formal specification)
Shared meanings in a small closed community
My ontology is better than yours!
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Ontology mapping
Translate one ontology to anotherAppealing notion if no agreement
can be reachedTougher than it looks…
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All-too-common use case
Ontology is built by a group with much effort
Every user wants to tweak the ontology
Ontology becomes primarily a representation tool (taxonomy)
No sophisticated reasoning happens
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Is there enough benefit?
Why is the semantic web proceeding so slowly?
Where did the agents go?Are ontologies really promoting
interoperability?How much prototyping and informal
modelling is needed prior to building an ontology?
What does the ontology really do for learners?
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Jim’s SWEL Challenge
Tools for the emergent ontologyLearning an ontology from associations
Substantial reasoning with ontology Use cases where reasoning is key
Make ontologies truly usefulToo many people “can’t be bothered”Formal structures must pay off.