IEEE Organizations related to Semantics

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Periodicals related to Semantics

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Most published Xplore authors for Semantics

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Xplore Articles related to Semantics

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Non-Independent term selection for Chinese text categorization

Tsinghua Science and Technology, 2009

Chinese text categorization differs from English text categorization due to its much larger term set (of words or character n-grams), which results in very slow training and working of modern high-performance classifiers. This study assumes that this high-dimensionality problem is related to the redundancy in the term set, which cannot be solved by traditional term selection methods. A greedy algorithm ...


Two language models using Chinese semantic parsing

Tsinghua Science and Technology, 2006

This paper presents two language models that utilize a Chinese semantic dependency parsing technique for speech recognition. The models are based on a representation of the Chinese semantic structure with dependency relations. A semantic dependency parser was described to automatically tag the semantic class for each word with 90.9% accuracy and parse the sentence semantic dependency structure with 75.8% accuracy. ...


Toward Artificial Intelligence through Knowledge Representation for Awareness

Software Technology: 10 Years of Innovation in IEEE Computer, None

Software‐intensive systems require considerable knowledge provided by software engineers to help explain the problem domain. Still today, computers “talk” in a “binary” language that is simple, logical, and sound, with none of the ambiguity that characterizes human language. Artificial intelligence requires knowledge to be given to computers in well‐founded computational structures that programs can translate into binary computer language. Such ...


Closed world reasoning for OWL2 with NBox

Tsinghua Science and Technology, 2010

This paper describes the problem of doing description logic (OL) reasoning with partially closed world. The issue was addressed by extending the syntax of OL SROIQ with an NBox, which specifies the predicates to close, extending the semantics with the idea of negation as failure, reducing the closed world reasoning to incremental reasoning on classical OL ontologies, and applying the ...


Exploring an Ethnography-Based Knowledge Network Model for Professional Communication Analysis of Knowledge Integration

IEEE Transactions on Professional Communication, 2018

Research problem: In contemporary knowledge-intensive spaces, workers often team with experts from different disciplinary backgrounds and different geographic locations and, thus, they face the challenge of integrating knowledge in their work. When modeling how communication can be improved in these circumstances, previous studies have often relied on social network analysis to understand the aggregate exchanges among team members. In this ...


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Educational Resources on Semantics

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IEEE-USA E-Books

  • Non-Independent term selection for Chinese text categorization

    Chinese text categorization differs from English text categorization due to its much larger term set (of words or character n-grams), which results in very slow training and working of modern high-performance classifiers. This study assumes that this high-dimensionality problem is related to the redundancy in the term set, which cannot be solved by traditional term selection methods. A greedy algorithm framework named “non-independent term selection” is presented, which reduces the redundancy according to string- level correlations. Several preliminary implementations of this idea are demonstrated. Experiment results show that a good tradeoff can be reached between the performance and the size of the term set.

  • Two language models using Chinese semantic parsing

    This paper presents two language models that utilize a Chinese semantic dependency parsing technique for speech recognition. The models are based on a representation of the Chinese semantic structure with dependency relations. A semantic dependency parser was described to automatically tag the semantic class for each word with 90.9% accuracy and parse the sentence semantic dependency structure with 75.8% accuracy. The Chinese semantic parsing technique was applied to structure language models to develop two language models, the semantic dependency model (SDM) and the headword trigram model (HTM). These language models were evaluated using Chinese speech recognition. The experiments show that both models outperform the word trigram model in terms of the Chinese character recognition error rate.

  • Toward Artificial Intelligence through Knowledge Representation for Awareness

    Software‐intensive systems require considerable knowledge provided by software engineers to help explain the problem domain. Still today, computers “talk” in a “binary” language that is simple, logical, and sound, with none of the ambiguity that characterizes human language. Artificial intelligence requires knowledge to be given to computers in well‐founded computational structures that programs can translate into binary computer language. Such knowledge‐representation structures generally take the form of primitives such as rules, frames, semantic networks, concept maps, ontologies, and logical expressions.This chapter walks the reader through the field of knowledge representation to consecutively introduce a new, yet promising knowledge‐representation technique emphasizing self‐adaptation behavior. Furthermore, the chapter introduces the notion of artificial awareness and demonstrates how knowledge representation can be used to integrate awareness in system behavior.

  • Closed world reasoning for OWL2 with NBox

    This paper describes the problem of doing description logic (OL) reasoning with partially closed world. The issue was addressed by extending the syntax of OL SROIQ with an NBox, which specifies the predicates to close, extending the semantics with the idea of negation as failure, reducing the closed world reasoning to incremental reasoning on classical OL ontologies, and applying the syntactic approximation technology to improve the reasoning performance. Compared with the existing OBox approach, which corresponds to the relation database, the NBox approach supports deduction on closed concepts and roles. Also, the approximate reasoning can reduce reasoning complexity from N2EXPTIME-complete to PTIME-complete while preserving the correctness of reasoning for ontologies with certain properties.

  • Exploring an Ethnography-Based Knowledge Network Model for Professional Communication Analysis of Knowledge Integration

    Research problem: In contemporary knowledge-intensive spaces, workers often team with experts from different disciplinary backgrounds and different geographic locations and, thus, they face the challenge of integrating knowledge in their work. When modeling how communication can be improved in these circumstances, previous studies have often relied on social network analysis to understand the aggregate exchanges among team members. In this study, rather than analyze social networks (people linked by communication), we argue that network analysis of knowledge networks (people linked by common knowledge) presents an opportunity to better understand and address the challenge of knowledge integration in organizational contexts. Research questions: 1. How can professional communicators use the distribution of knowledge on teams as a structure for planning interventions in the work of complex, collaborative teams? 2. What kinds of insights do networks of specific knowledge areas offer professional communicators about team communication challenges? Literature review: We describe prior uses of network analysis in professional communication research that inform our development of a knowledge network. In particular, we review current literature and highlight network-based concepts that we believe are organizing principles of knowledge networks. Previous literature has shown that network models, particularly social network models, are useful tools for professional communication researchers to examine a range of communication factors and practices. However, professional communication research has yet to fully explore the possible contributions of knowledge networks to understand communication processes. Methodology: We conducted an ethnography of a team science collaboration and used observations to create a survey of terms that measured subjects' self-professed understanding of key concepts. We used the survey results to produce a bimodal network model of agents and terms, in which we binarized link values after filtering for only the highest-rated terms for each subject. Results: The model demonstrated that the team collaboration broke into two distinct groupings. Ego networks extracted from this parent network showed that concepts commonly well-understood in the team join together multiple subgroups of expert knowledge. Conclusions: The knowledge network is a useful instrument in helping team members understand possibilities for integrating knowledge across disciplines and subspecialties. The visual produced by this model also can be useful for developing research questions and strategizing work processes.

  • Intelligent System Interaction

    This chapter contains sections titled:IntroductionInteraction MultiplicityIs Interaction DesignSome Generic Intelligent Interaction ApplicationsExercisesReferences

  • IEEE Standard for Design and Verification of Low-Power Integrated Circuits

    A method is provided for specifying power intent for an electronic design, for use in verification of the structure and behavior of the design in the context of a given power management architecture, and for driving implementation of that power management architecture. The method supports incremental refinement of power intent specifications required for IP-based design flows.

  • 3 Make Something That Makes Something

    Twitterbots have the potential to do wild and wonderful things, from cracking jokes to making us think, but when all you can see is their outputs, it can be hard to visualize what's going on under the hood. Later in this book, we begin to build our own Twitterbots from the ground up, gluing each piece together and applying a nice coat of paint to make them shine. Before we begin, though, it is useful to think for a moment about the theory of Twitterbots and generative machinery more generally. We come across generators every day, from machines that assign school places and hospital appointments to the algorithms that drop candy from the sky in the games on our phones. In this chapter, we think about what separates one generator from another and how to think about generative software in terms of the whole of its outputs, and not just one or two examples.

  • Detecting and grouping words in topographic maps by means of perceptual concepts

    We describe a method for the semi-automated extraction and clustering of characters occurring in scanned topographic maps. The method takes into account the oriented strings that are frequent in topographic maps. We describe the whole application but we emphasize the module devoted to string extraction based on a suitable human vision model related to this particular problem. The experimental results show the capability to exploit this method for semi-automated character extraction to the aim of building or updating data in Geographic Information Systems.

  • Development of simulation-based software design solution

    The paper focuses on development and application of a software engineering system BPsim.SD, part of decision support suite BPsim.DSS, which greatly simplifies analysts work and their interaction with software developers. System is integrated into a decision support suite, which allows instant transition from software entities design to simulation of developed product with possible application of simulation experiment design for tough projects. Paper gives several examples of the system deployment in production environments, both for model validation (which was successful) and for software design from scratch, which resulted in benefits from decreased costs and avoided data losses. After verification the system has been used in multiple projects. This paper describes software application for design of an information system for shareholders registers, located in Russia.



Standards related to Semantics

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No standards are currently tagged "Semantics"