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2008 IEEE International Conference on Semantic Computing最新文献

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Combining Domain-Driven Approach with Requirement Assets for Networked Software Requirements Elicitation 结合领域驱动方法和需求资产进行网络化软件需求提取
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.14
Wei Liu, K. He, Kui Zhang, Jian Wang
{"title":"Combining Domain-Driven Approach with Requirement Assets for Networked Software Requirements Elicitation","authors":"Wei Liu, K. He, Kui Zhang, Jian Wang","doi":"10.1109/ICSC.2008.14","DOIUrl":"https://doi.org/10.1109/ICSC.2008.14","url":null,"abstract":"Networked software (NS) is a service-oriented software application that is accessed via human-network interaction equipments. Owing to the characteristics(such as uncertainty, incompleteness, and evolution) of NS requirements, the requirements engineering face challenges in requirements elicitation. This paper proposes a requirements elicitation approach for networked software that builds a bridge over the gap between user requirements for understanding and system requirements for designing. A new language, called SORL, is proposed to describe user requirements with functional and non-functional properties for NS. The proposed approach is capable to transform user requirements with SORL into domain-SORL for reusing domain requirement assets with deep semantic supports. The actual application shows that the approach which discussed in this essay can improve the flexibility of requirements elicitation in networked environment and continuously evolve with lower cost.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131314364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
TcruziKB: Enabling Complex Queries for Genomic Data Exploration 为基因组数据探索启用复杂查询
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.93
Pablo N. Mendes, Bobby McKnight, A. Sheth, J. Kissinger
{"title":"TcruziKB: Enabling Complex Queries for Genomic Data Exploration","authors":"Pablo N. Mendes, Bobby McKnight, A. Sheth, J. Kissinger","doi":"10.1109/ICSC.2008.93","DOIUrl":"https://doi.org/10.1109/ICSC.2008.93","url":null,"abstract":"We developed a novel analytical environment to aid in the examination of the extensive amount of interconnected data available for genome projects. Our focus is to enable flexibility and abstraction from implementation details, while retaining the expressivity required for post-genomic research. To achieve this goal, we associated genomics data to ontologies and implemented a query formulation and execution environment with added visualization capabilities. We use ontology schemas to guide the user through the process of building complex queries in a flexible Web interface. Queries are serialized in SPARQL and sent to servers via Ajax. A component for visualization of the results allows researchers to explore result sets in multiple perspectives to suit different analytical needs. We show a use case of semantic computing with real world data. We demonstrate facilitated access to information through expressive queries in a flexible and friendly user interface. Our system scores 90.54% in a user satisfaction evaluation with 30 subjects. In comparison with traditional genome databases, preliminary evaluation indicates a reduction of the amount of user interaction required to answer the provided sample queries.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115930299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 37
Optimal Consensus Intuitive Hand Gesture Vocabulary Design 最佳共识直观手势词汇设计
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.29
H. Stern, J. Wachs, Y. Edan
{"title":"Optimal Consensus Intuitive Hand Gesture Vocabulary Design","authors":"H. Stern, J. Wachs, Y. Edan","doi":"10.1109/ICSC.2008.29","DOIUrl":"https://doi.org/10.1109/ICSC.2008.29","url":null,"abstract":"Gesture interfaces are needed for natural intuitive communication with machine devices. Hand gesture intuitiveness is the cognitive association between a command or intent, and its physical gestural expression. Using an automated tool we quantified intuitive indices for static gesture commands for a car navigation task. A small number of gestures were selected to express most of the commands with 1/3 used only by single individuals. This followed a power function analogous to Zipf's Law for languages. We found gesture preferences to be highly individualized, providing evidence to refute the hypothesis of the universality of gestures. A mathematical program was formulated to obtain a consensus gesture vocabulary for a car navigation system with the objective of maximizing total intuitiveness. We also introduced the notion of complex consensus gesture vocabularies in which multi-gestures are associated with single commands and multi-commands are associated with single gestures. We recommend hybrid gesture vocabularies, decided by consensus with several gestures selected individually.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"13 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123680448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 61
Hybrid Semantic Web Service Retrieval: A Case Study with OWLS-MX 混合语义Web服务检索:基于owl - mx的案例研究
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.20
M. Klusch, Patrick Kapahnke, B. Fries
{"title":"Hybrid Semantic Web Service Retrieval: A Case Study with OWLS-MX","authors":"M. Klusch, Patrick Kapahnke, B. Fries","doi":"10.1109/ICSC.2008.20","DOIUrl":"https://doi.org/10.1109/ICSC.2008.20","url":null,"abstract":"The OWLS-MX matchmaker selects OWL-S 1.1 services that are relevant to a given service request by means of logic-based matching complemented with syntactic similarity measurement. In this paper, we summarize the results of our experimental evaluation of the retrieval performance of OWLS-MX in terms of its false positives and false negatives using the service retrieval test collection OWLS-TC 2.1. Based on the analysis of false-positives and false-negatives of OWLS-MX, we implemented a matchmaker OWLS-MX2 with improved precision in average.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127265130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 25
Topic Detection and Extraction in Chat 聊天中的话题检测与提取
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.61
Paige Adams, C. Martell
{"title":"Topic Detection and Extraction in Chat","authors":"Paige Adams, C. Martell","doi":"10.1109/ICSC.2008.61","DOIUrl":"https://doi.org/10.1109/ICSC.2008.61","url":null,"abstract":"Internet-based Chat environments such as Internet relay Chat and instant messaging pose a challenge for data mining and information retrieval systems due to the multi-threaded, overlapping nature of the dialog and the nonstandard usage of language. In this paper we present preliminary methods of topic detection and topic thread extraction that augment a typical TF-IDF-based vector space model approach with temporal relationship information between posts of the Chat dialog combined with WordNet hypernym augmentation. We show results that promise better performance than using only a TF-IDF bag-of-words vector space model.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125628198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 93
Leveraging Folksonomies for Ontology Evolution in E-learning Environments 在电子学习环境中利用大众分类法进行本体演化
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.15
C. Torniai, J. Jovanović, Scott Bateman, D. Gašević, M. Hatala
{"title":"Leveraging Folksonomies for Ontology Evolution in E-learning Environments","authors":"C. Torniai, J. Jovanović, Scott Bateman, D. Gašević, M. Hatala","doi":"10.1109/ICSC.2008.15","DOIUrl":"https://doi.org/10.1109/ICSC.2008.15","url":null,"abstract":"One of the main obstacles for wider adoption of semantic rich e-learning systems is the difficulty in creating and maintaining domain ontologies describing courses. Annotations, such as those resulting from collaborative tagging, provide a new source of information which can be used to ease the process of author-ing and updating domain ontologies. This paper presents an extension to the LOCO-Analyst tool, which leverages student folksonomies to support instructors when revising and updating course domain ontologies. The support is based on a computation of relatedness between ontology concepts and students tags which takes into account the \"context\" defined by the domain ontology. The computed scores are visualized in a tag cloud along with tag popularity scores, to allow instructors to easily comprehend the emergent feedback of their students. This approach allows for a simple and intuitive method for instructors to associate tags with concepts in their domain ontology.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122655731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 22
Exploiting Term Relations for Semantic Hierarchy Construction 利用术语关系构建语义层次
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.68
C. Joslyn, P. Paulson, Karin M. Verspoor
{"title":"Exploiting Term Relations for Semantic Hierarchy Construction","authors":"C. Joslyn, P. Paulson, Karin M. Verspoor","doi":"10.1109/ICSC.2008.68","DOIUrl":"https://doi.org/10.1109/ICSC.2008.68","url":null,"abstract":"This paper presents a method to induce semantic taxonomies by applying the lattice theoretical technology of formal concept analysis to relations of predicates extracted from a natural language corpus. Our initial research results are in support of a future overall methodology for the semi-automatic construction of semantic hierarchies from term relations extracted from text. We describe our formal method for hierarchy construction, selection and processing of a test corpus for extracting verb-noun pairs from natural language, measurement and filtering of the resulting verb-noun term matrices for density optimization, and look at the resulting semantic hierarchies produced by FCA.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127652536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases 语义知识库中归纳分类器的非参数统计学习方法
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.28
Claudia d’Amato, N. Fanizzi, F. Esposito
{"title":"Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases","authors":"Claudia d’Amato, N. Fanizzi, F. Esposito","doi":"10.1109/ICSC.2008.28","DOIUrl":"https://doi.org/10.1109/ICSC.2008.28","url":null,"abstract":"This work concerns non-parametric approaches for statistical learning applied to the standard knowledge representations languages adopted in the semantic Web context. We present methods based on epistemic inference that are able to elicit the semantic similarity of individuals in OWL knowledge bases. Specifically, a totally semantic and language independent semi-distance function is presented and from it, an epistemic kernel function for semantic Web representations is derived. Both the measure and the kernel function are embedded into non-parametric statistical learning algorithms customized for coping with Semantic Web representations. Particularly, the measure is embedded into a k-nearest neighbor algorithm and the kernel function is embedded in a support vector machine. The realized algorithms are used to perform inductive concept retrieval and query answering. An experimentation on real ontologies proves that the methods can be effectively employed for performing the target tasks and moreover that it is possible to induce new assertions that are not logically derivable.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133863644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Sentiment Regression: Using Real-Valued Scores to Summarize Overall Document Sentiment 情绪回归:使用实值分数来总结整体文档情绪
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.67
Adam Drake, Eric K. Ringger, D. Ventura
{"title":"Sentiment Regression: Using Real-Valued Scores to Summarize Overall Document Sentiment","authors":"Adam Drake, Eric K. Ringger, D. Ventura","doi":"10.1109/ICSC.2008.67","DOIUrl":"https://doi.org/10.1109/ICSC.2008.67","url":null,"abstract":"In this paper, we consider a sentiment regression problem: summarizing the overall sentiment of a review with a real-valued score. Empirical results on a set of labeled reviews show that real-valued sentiment modeling is feasible, as several algorithms improve upon baseline performance. We also analyze performance as the granularity of the classification problem moves from two-class (positive vs. negative) towards infinite-class (real-valued).","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"59 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114037873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 23
Resolving Multiperspective Requirements Traceability through Ontology Integration 通过本体集成解决多角度需求可追溯性
2008 IEEE International Conference on Semantic Computing Pub Date : 2008-08-04 DOI: 10.1109/ICSC.2008.13
N. Assawamekin, T. Sunetnanta, C. Pluempitiwiriyawej
{"title":"Resolving Multiperspective Requirements Traceability through Ontology Integration","authors":"N. Assawamekin, T. Sunetnanta, C. Pluempitiwiriyawej","doi":"10.1109/ICSC.2008.13","DOIUrl":"https://doi.org/10.1109/ICSC.2008.13","url":null,"abstract":"In a software development process, different stakeholders may deal with different pieces of software requirements depending on their perspectives or perception of their problems. Each of the stakeholders may define his/her requirements in his/her own point of view using different terminologies. However, a variety of stakeholders will need to interoperate, collaborate or trace requirements among each other in order to achieve a common goal of their development. In this situation, ontology can play an essential role in communication among diverse stakeholders in the course of an integrating system.In this paper, we propose an alternative multiperspective requirements traceability (MPRT) framework to automatically generate traceability relationships of multiperspective requirements artifacts. Requirements ontology is designed and built as a knowledge management mechanism to represent multiperspective requirements artifacts in a common way, which intervene mutual \"understanding\" among various stakeholders. Ontology matching takes two ontologies and produces correspondences (i.e., equivalence, more general, less general, mismatch and overlapping) between the concepts of ontologies that correspond semantically to each other. The traceability relationships are automatically generated when a match is found in the ontologies.","PeriodicalId":102805,"journal":{"name":"2008 IEEE International Conference on Semantic Computing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114218392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
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