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Advances in Semantic Processing, 2009. SEMAPRO '09. Third International Conference on

Date 11-16 Oct. 2009

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Displaying Results 1 - 25 of 29
  • [Front cover]

    Page(s): C1
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    Freely Available from IEEE
  • [Title page i]

    Page(s): i
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    Freely Available from IEEE
  • [Title page iii]

    Page(s): iii
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  • [Copyright notice]

    Page(s): iv
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  • Table of contents

    Page(s): v - vi
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  • Preface

    Page(s): vii
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    Freely Available from IEEE
  • Organizing Committee

    Page(s): viii - xi
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    Freely Available from IEEE
  • list-reviewer

    Page(s): xii - xiv
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    Freely Available from IEEE
  • Context-Aware Automatic Query Refinement Using Indian-Logic Based Ontology

    Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (715 KB) |  | HTML iconHTML  

    This system proposes Indian-logic ontology based Context-aware Query Refinement model to support context-sensitive semantic search in keyword based search engine. This is by formulating effective query using Indian logic based Ontology for Context identification to overcome ambiguous query terms and increase the relevancy of documents retrieved. Here we propose Indian-Logic based Context Ontology for Context representation of ambiguous keywords along with Domain Ontology for complete domain knowledge. This system effectively uses these ontologies to identify the context and iteratively refine the query. This system visualizes results based on ontology to easily obtain an overall picture of the types of results obtained and also gives indication of relationships and subcategories within the refined results. The experiment result shows that our proposed method shows better precision compared over normal search engine results. View full abstract»

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  • Anticipatory Approach to Maintain Consistency in Ontology Versions

    Page(s): 7 - 14
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (467 KB) |  | HTML iconHTML  

    Ontologies are often used in changing environments and therefore cannot be considered as a finite and stable conceptualization of a domain of knowledge. The management of ontology evolution requires monitoring and consideration of two important and complementary aspects: (1) the history of evolution to ensure traceability of changes and (2) the conformity of ontology in relation to their original objectives.This paper proposes an anticipatory approach for maintaining consistency of ontology after its evolution. This approach is based on the anticipation of inconsistencies that can be generated by types of change in order to propose additional functions to correct them. These functions called corrective operations aim to address the potential inconsistencies that are likely to be generated. Each type of change must be applied in conjunction with the corrective operations to guarantee the conformity and the quality of ontology. An Ontology Evolution Tool has been developed to allow updating ontologies while preserving their coherence. View full abstract»

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  • A Methodology for Ontology Evolution and Versioning

    Page(s): 15 - 21
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (448 KB) |  | HTML iconHTML  

    The problem of versioning is present in several application areas, such as temporal databases, real-time computing and ontologies. This problem is generally defined as managing changes in a timely manner without loss of existing data. However, ontology versioning is more complicated than versioning in database because of the usage and content of ontology which incorporates semantic aspects. Consequently, ontology data models are much richer than those of database schemas. In this paper, we propose an approach of ontology evolution which incorporates a versioning management process, based on three phases: evolution changes, ontology coherence and versioning management. The proposed approach allows monitoring the evolution of ontology by creating a new version based on types of changes which express the evolution requirements. The inconsistencies that can be generated on the ontology after evolution are identified for each type of changes and are treated based on corrective operations defined by the system. View full abstract»

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  • Generating OWL Ontology for Database Integration

    Page(s): 22 - 31
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (457 KB) |  | HTML iconHTML  

    Today, databases provide the best technique for storing and retrieving data, but they suffer from the absence of a semantic perspective, which is needed to reach global goals such as the semantic web and data integration. Using ontologies will solve this problem by enriching databases semantically. Since building an ontology from scratch is a very complicated task, we propose an automatic transformation system to build Web Ontology Language OWL ontologies from a relational model written in Structured Query Language SQL. Our system also uses metadata, which helps to extract some semantic aspects which could not be inferred from the SQL. Our system analyzes database tuples to capture these metadata. Finally, the outcome ontology of the system is validated manually by comparing it with a conceptual model of the database (E/R diagram) in order to obtain the optimal ontology. View full abstract»

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  • Ontologies in Checking for Inconsistency of Requirements Specification

    Page(s): 32 - 37
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (233 KB) |  | HTML iconHTML  

    In this paper, we investigate how ontologies developed for use in Semantic Web technology could be used in checking the consistency of requirements specifications. Our approach's main idea and original contribution is that we use reasoning which is a part of ontology. In the first step, we transform the static part of the UML model and its constraints into a problem ontology and try to discover contradictions using ontology reasoning. The contradictions that have been found indicate inconsistencies. In the second step, we try to discover contradictions between the problem ontology coming from the UML model, that represents the requirements, and the domain ontology, that represents the domain knowledge available in the software company. However, a limitation of this approach is: We cannot check the behavioral consistency because it is not possible to represent the dynamic part of the UML model in an ontology. This paper describes not only a concept but also the implementation and illustrating examples. View full abstract»

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  • Resourceome: A Multilevel Model and a Semantic Web Tool for Managing Domain and Operational Knowledge

    Page(s): 38 - 43
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (398 KB) |  | HTML iconHTML  

    In any scientific domain, the full set of data and programs has reached an -ome status, i.e. it has grown massively. In this scenario, we propose Resourceome, a Web-based and semantic Knowledge Management System which extends a previous multilevel ontology-based knowledge manager for the bioinformatic domain as follows: (i) enriching the knowledge model in such a way to describe resource knowledge contextualized in any domain (not only bioinformatics), as well as operational knowledge; (ii) implementing a Web-based application for visualizing, updating, querying and managing domain and operational knowledge models; (iii) adding a Web-based and semantic-driven workflow compiler. View full abstract»

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  • Using Methods of Parallel Semi-structured Data Processing for Semantic Web

    Page(s): 44 - 49
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (334 KB) |  | HTML iconHTML  

    The state of the art in semi-structured data processing (and XML in particular) and Semantic Web repositories correspond to each other: the non-scalability of pilot implementations, the inability of optimizations, and the cost of the fully native implementation. Although there are successful implementations in each of the approaches, none of the methods may be considered universal. The Bobox framework proposed in this paper is a relational-like storage engine applicable both as a native XML database and as a Semantic Web repository. The main purpose of the engine is in experiments in both areas. The main stress is put to the performance of complex queries and transformations, and to the ability of parallel evaluation in particular. View full abstract»

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  • Personalized Context-Aware Recommendations in SMARTMUSEUM: Combining Semantics with Statistics

    Page(s): 50 - 55
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (355 KB) |  | HTML iconHTML  

    Our goal is to enhance on-site personalized access and recommendations for cultural heritage. We have designed and implemented the SMARTMUSEUM platform using adaptive and privacy preserving user profiling. The described recommendation system relies on combining a semantics/ontologies based approach with a data mining/statistics based approach. The paper presents the architecture and main methods of the system. View full abstract»

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  • Using Wikipedia as a Reference for Extracting Semantic Information from a Text

    Page(s): 56 - 61
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (252 KB) |  | HTML iconHTML  

    In this paper we present an algorithm that, using Wikipedia as a reference, extracts semantic information from an arbitrary text. Our algorithm refines a procedure proposed by others, which mines all the text contained in the whole Wikipedia. Our refinement, based on a clustering approach, exploits the semantic information contained in certain types of Wikipedia hyperlinks, and also introduces an analysis based on multi-words. Our algorithm outperforms current methods in that the output contains many less false positives. We were also able to understand which (structural) part of the texts provides most of the semantic information extracted by the algorithm. View full abstract»

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  • Using Clusters in RDF Visualization

    Page(s): 62 - 66
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (617 KB) |  | HTML iconHTML  

    Clustered graph visualization techniques are an easy to understand way of hiding complex parts of a visualized graph when they are not needed by the user. When visualizing RDF, there are several situations where such clusters are defined in a very natural way. Using this techniques, we can give the user optional access to some detailed information without unnecessarily occupying space in the basic view of the data. This paper describes algorithms for clustered visualization used in the Trisolda RDF visualizer. Most notable is the newly added clustered navigation technique. View full abstract»

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  • WISE - Workbench for Semantic Web Services

    Page(s): 67 - 72
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2190 KB) |  | HTML iconHTML  

    The onset of the Semantic Web has brought many innovations for enabling assisted interactions on the World Wide Web through document annotation. Many efforts have emerged throughout the past years, including RDF, OWL,OWL-S and WSMO, all seeking to improve the current web from a static one into a more dynamic one. Semantic Web Services are an effective way to facilitate the discovery,selection and composition of services and to integrate the min to workflows. Presently, however, not many tools offer the functionality to facilitate the annotations of such services to ontology frameworks such as OWL-S or WSMO. Presented here is an Editing Suite for such a scenario. The aim of this work is to provide a tool that provides two core features. The first is a generic framework that allows the extraction of data from an SAWSDL document, as well as having an integrated visual editor for building composite business processes. The second is a set of hooking mechanisms, able to extend the above framework so as to provide mappings from SAWSDL to any other ontology framework. View full abstract»

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  • Age Effects on Semantic Coherence: Latent Semantic Analysis Applied to Letter Fluency Data

    Page(s): 73 - 76
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (218 KB) |  | HTML iconHTML  

    We investigated age-related changes in the semantic distance between successively generated words in two letter fluency tasks differing with respect to demands placed on executive control. The semantic distance was measured by Latent Semantic Analysis (LSA). The results show that older people have a larger semantic distance between successively generated items than young people, and that this effect is particularly pronounced in the more demanding fluency task. Taken together, our findings support the idea that elderly have a less distinct semantic network compared to young people while also demonstrating the feasibility of LSA as a powerful tool for delineating multifaceted aspects of semantic organization inherent in behavioural data from language production tasks. View full abstract»

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  • WiSyMon: Managing Systems Monitoring Information in Semantic Wikis

    Page(s): 77 - 85
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (628 KB) |  | HTML iconHTML  

    While IT landscapes are becoming more and more complex, the need for faster and more flexible service delivery as well as the need for providing constantly available services constitute an increasing challenge for the IT service management (ITSM) discipline. The work presented in this paper aims at providing a solution for collaboratively creating and maintaining systems monitoring configurations in a semantic wiki. An overview of ITSM, systems monitoring, wikis, as well as semantics and ontologies, is given. Additionally, the approach used for implementing the solution presented in this paper, is sketched. View full abstract»

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  • Inducing Shades of Meaning by Matrix Methods : A First Step Towards Thematic Analysis of Opinion

    Page(s): 86 - 91
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (199 KB) |  | HTML iconHTML  

    This article explores two matrix methods to induce the ldquoshades of meaningrdquo (SoM) of a word. A matrix representation of a word is computed from a corpus of traces based on the given word. Non-negative Matrix Factorisation (NMF) and Singular Value Decomposition (SVD) compute a set of vectors corresponding to a potential shade of meaning. The two methods were evaluated based on loss of conditional entropy with respect to two sets of manually tagged data. One set reflects concepts generally appearing in text, and the second set comprises words used for investigations into word sense disambiguation. Results show that for NMF consistently outperforms SVD for inducing both SoM of general concepts as well as word senses. The problem of inducing the shades of meaning of a word is more subtle than that of word sense induction and hence relevant to thematic analysis of opinion where nuances of opinion can arise. View full abstract»

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  • Searching Semantic Resources for Complex Selectional Restictions to Support Lexical Acquisition

    Page(s): 92 - 97
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (302 KB) |  | HTML iconHTML  

    Natural language processing systems are increasingly using ontologies and other large-scale semantic resources to support Verb Sense Disambiguation (VSD) and other applications. One of the ways in which these resources can be used is to identify the selectional restrictions on verb arguments needed for sense distinction. However, manually navigating such resources can be difficult and inefficient due to their size and complexity. In this paper, we present a process for automatically searching through an ontology to determine appropriate concepts for expressing selectional restrictions on verb sense. The goal of this research is to semi-automate the development of a semantically rich lexicon to support high-precision information extraction. View full abstract»

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  • The Valid Ontology: A Simple OWL Temporal Versioning Framework

    Page(s): 98 - 102
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (269 KB) |  | HTML iconHTML  

    In this paper, we consider the problem of managing multiple temporal versions of an ontology. For example, in the legal and e-Government domains, temporal versions of an ontology are a natural consequence of the dynamics involved in normative systems. To this purpose, we introduce ldquoThe Valid Ontologyrdquo approach, by adapting to OWL-encoded ontologies a versioning scheme we proposed in the past for generic Web resources. In particular, we propose to use a single temporal XML document to represent and store a multi-version ontology and use a temporal XML query processor to efficiently extract valid OWL ontologies from the XML document as temporal snapshots. The result is an efficient ontology temporal versioning solution, relying on standard XML technology. View full abstract»

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  • Semi-automatic Acquisition of Semantic Descriptions of Web Sites

    Page(s): 103 - 108
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (205 KB) |  | HTML iconHTML  

    In order to obtain the desired information or functionality in the Web, a user often needs to perform multiple interactions with the Web site, e.g. submitting Web forms filled up with appropriate information, and the further execution of such a Web process depends on the information provided by the user in the previous steps of the process. The formal models underlying existing systems for supporting users in coping with the Web do not capture the dynamics and data flow of Web processes. As a result, searching for information in the so called "Deep Web" or desired business processes offered via the Web still requires significant manual effort. In this paper, we present a semantic process description language and present a mapping of the dynamics and data flow of Web sites to our semantic process description language. In order to allow development of more sophisticated methods and tools that consider the dynamics and data flow inside or among Web sites, significant number of descriptions of Web sites are needed. We approach this bootstrapping problem by presenting a technique for semi-automatic acquisition of semantic descriptions of Web Sites. View full abstract»

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