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Providing Universal Accessibility using Connecting Ontologies: A Holistic Approach. To appear
- In Constantine Stephanidis, editor, Universal Access to Applications and Services
, 2007
"... Abstract. Accessibility implementation efforts are generally focused towards some typical user impairments and a few interaction devices for a particular user scenario. Whereas there are numerous factors in the prevalent context which can leverage the overall accessibility to its full potential, onl ..."
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Abstract. Accessibility implementation efforts are generally focused towards some typical user impairments and a few interaction devices for a particular user scenario. Whereas there are numerous factors in the prevalent context which can leverage the overall accessibility to its full potential, only if those are orchestrated together. In absence of a common and unifying approach the industry has little choice in abstaining from legacy and is therefore not very successful in producing universally accessible software. Exploiting enabling technology of Semantic Web, we present an approach by developing Connecting Ontologies for these different factors. Exemplars are developed to show its correctness and practicability.
The Semantic Web and Human Inference: A Lesson from Cognitive Science
- In: Proc. of the 6th International Semantic Web Conference. (2007) 609
"... 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 induc ..."
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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.
Connecting User Interfaces and User Impairments for Semantically Optimized Information Flow in Hospital Information Systems
"... Abstract: The investigation of semantic relationship between the functional entities in a hospital information system, and their formal representation is of high value for automation purposes. The information flow in a health service setup revolves around some key entities such as various functional ..."
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Abstract: The investigation of semantic relationship between the functional entities in a hospital information system, and their formal representation is of high value for automation purposes. The information flow in a health service setup revolves around some key entities such as various functional departments, information items generated from these departments, hospital staff and the patients. User’s interactions within the system presume the device and the user profiles to be integral components which correspond to user interface characteristics and user impairments respectively. There is a meaningful relationship between the semantics of the information items, the roles of hospital staff, the functional departments, the user interface characteristics and the user impairments or abilities. Semantic web technology is very helpful in order to formally describe the semantics of these entities in ontologies and then creating rules to formally connect these ensuring a controlled and optimized information flow in the overall system. A test case, by connecting user impairments and user interface characteristics, is presented to show the validity and efficacy of our approach.
o Role for Metadata/Contextual Information/SemanticsSemantic Web • Web of Linked Data • Introduced by Berners
"... Address o Semantic Heterogeneity: Age vs. Age at time of surgery vs. Age at time of admission • Humans can (often) accurately interpret, but extremely difficult for machine ..."
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Address o Semantic Heterogeneity: Age vs. Age at time of surgery vs. Age at time of admission • Humans can (often) accurately interpret, but extremely difficult for machine
Informative Common Subsumers for Diseases Diagnosis
, 2009
"... This paper proposes an approach for automatically extracting symptoms associated to a given disease from semantic-based descriptions of health records of patients affected by an investigated pathology. The proposal implements non-standard reasoning services developed in Description Logics for the in ..."
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This paper proposes an approach for automatically extracting symptoms associated to a given disease from semantic-based descriptions of health records of patients affected by an investigated pathology. The proposal implements non-standard reasoning services developed in Description Logics for the individuation of informative commonalities in concept collections and can make significantly easier the diagnosis process of rare and unknown diseases.
A Hybrid Approach to Finding Relevant Social Media Content for Complex Domain Specific Information Needs
"... While contemporary semantic search systems offer to improve classical keyword-based search, they are not always adequate for complex domain specific information needs. The domain of prescription drug abuse, for example, requires knowledge of both ontological concepts and “intelligible constructs ” n ..."
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While contemporary semantic search systems offer to improve classical keyword-based search, they are not always adequate for complex domain specific information needs. The domain of prescription drug abuse, for example, requires knowledge of both ontological concepts and “intelligible constructs ” not typically modeled in ontologies. These intelligible constructs convey essential information that include notions of intensity, frequency, interval, dosage and sentiments, which could be important to the holistic needs of the information seeker. In this paper, we present a hybrid approach to domain specific information retrieval that integrates ontology-driven query interpretation with synonym-based query expansion and domain specific rules, to facilitate search in social media on prescription drug abuse. Our framework is based on a context-free grammar (CFG) that defines the query language of constructs interpretable by the search system. The grammar provides two levels of semantic interpretation: 1) a top-level CFG that facilitates retrieval of diverse textual patterns, which belong to broad templates and 2) a low-level CFG that enables interpretation of specific expressions belonging to such textual patterns. These low-level expressions occur as concepts from four different categories of data: 1) ontological concepts, 2) concepts in lexicons (such as emotions and sentiments), 3) concepts in lexicons with only partial ontology representation, called lexico-ontology concepts (such as side effects and routes of administration (ROA)), and 4) domain specific expressions (such as date, time, interval, frequency and dosage) derived solely through rules. Our approach is embodied in a novel Semantic Web platform called PREDOSE, which provides search support for complex domain specific information needs in
