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This electronic document is a “live” template and already defines the components of your paper [title, text, heads, etc.] in its style sheet. The paper considers the possibility and necessity of using in modern control and training systems with a natural language interface methods and mechanisms, characteristic for knowledge processing systems. This symbiosis assumes the introduction of specialized...
The new social media have become popular for information spreading, allowing online users to publish latest events and personal opinions. However, massive spam comments seriously decrease users' reading experience. To detect spam comments in Chinese social media, we employ semantic analysis to build the self-extensible dictionary which updates and extends itself with new cyber words automatically...
Current Web-based Services are highly heterogeneous not only on data but also with regard to service interaction. Despite their heterogeneity, composition of these services is required in order to achieve additional functionality. Semantic descriptions and composition algorithms for heterogeneous services have been recently proposed. However, existing techniques do not take the Publish/Subscribe paradigm...
The Model-Driven Architecture (MDA) is based on an understanding of a hierarchy of levels that are placed on top of each other and that are connected with instantiation. For practical MDA use, it is important to be clear about the kinds of objects that reside on the different levels and the relations between them as well as relations to objects outside of the MDA domain. This article aims at enhancing...
In the classical approaches of model checking (explicit and symbolic), the tools encode the state space, as well as the transition relation between the states. This way, when the predecessor of a state is needed, as in the case of CTL formulas evaluation, it can be extracted from the state space in a straightforward manner. Practical experience indicates that renouncing at encoding the transition...
In recent years, due to the advance of new technologies, the idea about intelligent tutoring system (ITS) has achieved many successes. The quality of the employed semantic space is a crucial element for establishing an ideal ITS. How accurate the student's responses can be identified and how precise the teaching content can be distributed all depend on the characteristics of the semantic space. A...
SkillsRec recommender (Skills based Recommender) is a novel Latent Semantic Analysis model driven recommendation system for online Personal Learning Environments that develops skill-similarity based user-user recommendations through semantically analyzing teacher-competencies and learner-interests. The recommender provides a solution to the inherent, massive and exponentially increasing information-overload...
Recently Information Technology is used extensively for wide range of application for example solutions enabled through e-commerce to different web based information system. This usage has lead to development of large textual data base. Mostly this information data is stored in unstructured text. This large data developed has lead to the need of its systematic clustering for easy data retrieval organization...
With AI celebrating its 60th anniversary, questions arise of when (not even if) a computational system will be able to understand humor. These questions open up interesting opportunities, but point out areas of research that yet are insufficient for informal human computer communication. This paper looks at computational humor as a way of verifying computational understanding of text (written or verbal)...
We present a framework for agent identity with a focus on structured cases and numerical levels of evidence and their handling. Our framework focuses on id-situations, where a person is judged to be the agent in some scenario, particularly a crime scene. An id-situation has a constellation of associated situations (providing what we call an id-case) to produce the objects used in it. Our idea of a...
The current work blends the different paradigms of Question Answering systems and presents a content-aware hybrid architecture for an open-domain factoid questions. It combines a knowledge-based, information extraction-based and a web-based approach in a pipelined architecture to construct an answer to a question keeping the context and discourse of the question in view. The proposed semantic-aware...
Computational Intelligence is a dead-end attempt to recreate human-like intelligence in a computing machine. The goal is unattainable because the means chosen for its accomplishment are mutually inconsistent and contradictory: “Computational” implies data processing ability while “Intelligence” implies the ability to process information. In the research community, there is a lack of interest in data...
Clinical Decision Support Systems (CDS) are built to make biomedical literature efficiently accessible to clinicians. The typical queries submitted to these systems are medical cases which describe various aspects of a patient health including symptoms, lab tests, and previous treatments. Because these queries are expected to be long and may contain some ambiguous words, performing some reformulation...
With the continuous development of the Internet, the volume of data is soaring sharply, the question answering system plays an increasingly important role in our lives. The current question answering system knowledge base is mainly constructed manually, costing a lot of manpower and material resources, hindering the expansion of application of question answering system from a single field to the whole...
There are different opinions on the names and quantity of semantic roles. In order to analyze the deep meaning of human language, we did two parts of tasks based on Chinese Semantic Dependency Graph Bank, which is a corpus analyzed by semantic dependency graph (SDG). After calculating the frequency of each role, we normalized the roles' names and distinguished the differences between each other. There...
Recent studies show structured atomic event information is beneficial to represent the discourse semantic. However, extracting useful structured representation of events from open domain is a challenging problem. On one hand, previous event extraction methods on special domain, cannot be directly used for open domain because of domain limitation and predefined event pattern. On the other hand, atomic...
Preserving important troubleshooting experience gained in industrial practice, often referred to as “tribal knowledge”, and making it readily available to be re-applied in similar situations represent a serious challenge for many companies in heavy industry. The solution is very often tied to building mental models to capture and express key latent cognitive variables. In this paper, we first attempt...
In this paper, we present a generic model to enrich user profiles by means of contextual and temporal information. This reflecting the current interests of these users in every period of time defined by a search session, and infers data freshness. We argue that the annotation of resources gives more transparency on users' needs. Based on this idea, we integrate social tagging in order to exploit part...
The Semantic Web is a compilation of various technologies designed to work together. Research on Semantic Web proposes to advance individual web services or technologies to integrate them to promote rapid development of semantic web services as flexible changes are occurring. Diverse methods are considered in order to construct systematic composition of services. The intent of paper is to differentiate...
Paraphrase generator tool is essential component of any NLP application. This paper presents paraphrase generator tool for Dravidian language of Kannada language using dictionary lookup approach. The paraphrase generator developed by using the morphological analyzer, dictionary lookup and morphological generator approach, generates paraphrases for a given sentence. The paraphrasing is a task that...
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