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- 589 creator bijan-parsia.
- 589 creator taowei-wang.
- 589 type InProceedings.
- 589 label "Ontology Performance Profiling and Model Examination: First Steps".
- 589 sameAs 589.
- 589 abstract ""[Reasoner] performance can be scary, so much so, that we cannot deploy the technology in our products." -- Michael Shepard (http://lists.w3.org/Archives/Public/public-owl-dev/2007JanMar/0047.html). What are typical OWL users to do when their favorite reasoner never seems to return? In this paper, we present our first steps considering this problem. We describe the challenges and our approach, and present a prototype tool to help users identify reasoner performance bottlenecks with respect to their ontologies. We then describe 4 case studies on synthetic and real-world ontologies. While the anecdotal evidence suggests that the service can be useful for both ontology developers and reasoner implementors, much more is desired.".
- 589 hasAuthorList authorList.
- 589 hasTopic Formal_language.
- 589 hasTopic Human-computer_interaction.
- 589 hasTopic Ontology_%28computer_science%29.
- 589 hasTopic Reasoning.
- 589 hasTopic Semantic_Web.
- 589 isPartOf proceedings.
- 589 title "Ontology Performance Profiling and Model Examination: First Steps".
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- 603 creator takashi-yamauchi.
- 603 type InProceedings.
- 603 label "The Semantic Web and Human Inference: A Lesson from Cognitive Science".
- 603 sameAs 603.
- 603 abstract "For the development of Semantic Web technology, researchers and developers in the Semantic Web community need to focus on the areas in which human reasoning is particularly difficult. Two studies in this paper demonstrate that people are predisposed to use class-inclusion labels for inductive judgments. This tendency appears to stem from a general characteristic of human reasoning – using heuristics to solve problems. The inference engines and interface designs that incorporate human reasoning need to integrate this general characteristic underlying human induction.".
- 603 hasAuthorList authorList.
- 603 hasTopic Application_software.
- 603 hasTopic Evaluation.
- 603 hasTopic Human-computer_interaction.
- 603 hasTopic Ontology_%28computer_science%29.
- 603 hasTopic Semantic_Web.
- 603 isPartOf proceedings.
- 603 title "The Semantic Web and Human Inference: A Lesson from Cognitive Science".
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- item-1 hasContent takashi-yamauchi.
- 617 creator fausto-giunchiglia.
- 617 creator ilya-zaihrayeu.
- 617 creator lei-sun.
- 617 creator mingmin-chi.
- 617 creator qi-ju.
- 617 creator wei-pan.
- 617 creator xuanjing-huang.
- 617 type InProceedings.
- 617 label "From Web Directories to Ontologies: Natural Language Processing Challenges".
- 617 sameAs 617.
- 617 abstract "Hierarchical classifications are used pervasively by humans as a means to organize their data and knowledge about the world. One of their main advantages is that natural language labels, used to describe their contents, are easily understood by human users. However, at the same time, this is also one of their main disadvantages as these same labels are ambiguous and very hard to be reasoned about by software agents. This fact creates an insuperable hindrance for classifications to being embedded in the Semantic Web infrastructure. This paper presents an approach to converting classifications into lightweight ontologies, and it makes the following contributions: (i) it identifies the main NLP problems related to the conversion process and shows how they are different from the classical problems of NLP; (ii) it proposes heuristic solutions to these problems, which are especially effective in this domain; and (iii) it evaluates the proposed solutions by testing them on DMoz data.".
- 617 hasAuthorList authorList.
- 617 hasTopic Information_extraction.
- 617 hasTopic Natural_language_processing.
- 617 hasTopic Semantic_Web.
- 617 hasTopic Web_annotation.
- 617 isPartOf proceedings.
- 617 title "From Web Directories to Ontologies: Natural Language Processing Challenges".
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