Showing papers on "Semantic Web published in 2006"
TL;DR: It is argued that agents can only flourish when standards are well established and that the Web standards for expressing shared meaning have progressed steadily over the past five years.
Abstract: The article included many scenarios in which intelligent agents and bots undertook tasks on behalf of their human or corporate owners. Of course, shopbots and auction bots abound on the Web, but these are essentially handcrafted for particular tasks: they have little ability to interact with heterogeneous data and information types. Because we haven't yet delivered large-scale, agent-based mediation, some commentators argue that the semantic Web has failed to deliver. We argue that agents can only flourish when standards are well established and that the Web standards for expressing shared meaning have progressed steadily over the past five years
1,830 citations
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TL;DR: This paper provides an extension to be integrated in Wikipedia, that allows the typing of links between articles and the specification of typed data inside the articles in an easy-to-use manner, and presents the design, implementation, and possible uses of this extension.
Abstract: Wikipedia is the world's largest collaboratively edited source of encyclopaedic knowledge. But in spite of its utility, its contents are barely machine-interpretable. Structural knowledge, e.,g. about how concepts are interrelated, can neither be formally stated nor automatically processed. Also the wealth of numerical data is only available as plain text and thus can not be processed by its actual meaning.We provide an extension to be integrated in Wikipedia, that allows the typing of links between articles and the specification of typed data inside the articles in an easy-to-use manner.Enabling even casual users to participate in the creation of an open semantic knowledge base, Wikipedia has the chance to become a resource of semantic statements, hitherto unknown regarding size, scope, openness, and internationalisation. These semantic enhancements bring to Wikipedia benefits of today's semantic technologies: more specific ways of searching and browsing. Also, the RDF export, that gives direct access to the formalised knowledge, opens Wikipedia up to a wide range of external applications, that will be able to use it as a background knowledge base.In this paper, we present the design, implementation, and possible uses of this extension.
663 citations
Book•
01 Dec 2006
TL;DR: Research Track.
Abstract: Research Track.- Ranking Ontologies with AKTiveRank.- Three Semantics for Distributed Systems and Their Relations with Alignment Composition.- Semantics and Complexity of SPARQL.- Ontology-Driven Automatic Entity Disambiguation in Unstructured Text.- Augmenting Navigation for Collaborative Tagging with Emergent Semantics.- On the Semantics of Linking and Importing in Modular Ontologies.- RS2D: Fast Adaptive Search for Semantic Web Services in Unstructured P2P Networks.- SADIe: Semantic Annotation for Accessibility.- Automatic Annotation of Web Services Based on Workflow Definitions.- A Constraint-Based Approach to Horizontal Web Service Composition.- GINO - A Guided Input Natural Language Ontology Editor.- Fresnel: A Browser-Independent Presentation Vocabulary for RDF.- A Software Engineering Approach to Design and Development of Semantic Web Service Applications.- A Model Driven Approach for Building OWL DL and OWL Full Ontologies.- IRS-III: A Broker for Semantic Web Services Based Applications.- Provenance Explorer - Customized Provenance Views Using Semantic Inferencing.- On How to Perform a Gold Standard Based Evaluation of Ontology Learning.- Characterizing the Semantic Web on the Web.- MultiCrawler: A Pipelined Architecture for Crawling and Indexing Semantic Web Data.- /facet: A Browser for Heterogeneous Semantic Web Repositories.- Using Ontologies for Extracting Product Features from Web Pages.- Block Matching for Ontologies.- A Relaxed Approach to RDF Querying.- Mining Information for Instance Unification.- The Summary Abox: Cutting Ontologies Down to Size.- Semantic Metadata Generation for Large Scientific Workflows.- Reaching Agreement over Ontology Alignments.- A Formal Model for Semantic Web Service Composition.- Evaluating Conjunctive Triple Pattern Queries over Large Structured Overlay Networks.- PowerMap: Mapping the Real Semantic Web on the Fly.- Ontology-Driven Information Extraction with OntoSyphon.- Ontology Query Answering on Databases.- Formal Model for Ontology Mapping Creation.- A Semantic Context-Aware Access Control Framework for Secure Collaborations in Pervasive Computing Environments.- Extracting Relations in Social Networks from the Web Using Similarity Between Collective Contexts.- Can OWL and Logic Programming Live Together Happily Ever After?.- Innovation Detection Based on User-Interest Ontology of Blog Community.- Modeling Social Attitudes on the Web.- A Framework for Ontology Evolution in Collaborative Environments.- Extending Faceted Navigation for RDF Data.- Reducing the Inferred Type Statements with Individual Grouping Constructs.- A Framework for Schema-Driven Relationship Discovery from Unstructured Text.- Web Service Composition Via Generic Procedures and Customizing User Preferences.- Querying the Semantic Web with Preferences.- ONTOCOM: A Cost Estimation Model for Ontology Engineering.- Tree-Structured Conditional Random Fields for Semantic Annotation.- Framework for an Automated Comparison of Description Logic Reasoners.- Integrating and Querying Parallel Leaf Shape Descriptions.- A Survey of the Web Ontology Landscape.- CropCircles: Topology Sensitive Visualization of OWL Class Hierarchies.- Towards Knowledge Acquisition from Information Extraction.- A Method for Learning Part-Whole Relations.- Semantic Web in Use.- OntoWiki - A Tool for Social, Semantic Collaboration.- Towards a Semantic Web of Relational Databases: A Practical Semantic Toolkit and an In-Use Case from Traditional Chinese Medicine.- Information Integration Via an End-to-End Distributed Semantic Web System.- NEWS: Bringing Semantic Web Technologies into News Agencies.- Semantically-Enabled Large-Scale Science Data Repositories.- Construction and Use of Role-Ontology for Task-Based Service Navigation System.- Enabling an Online Community for Sharing Oral Medicine Cases Using Semantic Web Technologies.- EKOSS: A Knowledge-User Centered Approach to Knowledge Sharing, Discovery, and Integration on the Semantic Web.- Ontogator - A Semantic View-Based Search Engine Service for Web Applications.- Explaining Conclusions from Diverse Knowledge Sources.- A Mixed Initiative Semantic Web Framework for Process Composition.- Semantic Desktop 2.0: The Gnowsis Experience.- Towards Semantic Interoperability in a Clinical Trials Management System.- Active Semantic Electronic Medical Record.- Semantic Web Challenge.- Foafing the Music: Bridging the Semantic Gap in Music Recommendation.- Semantic MediaWiki.- Enabling Semantic Web Communities with DBin: An Overview.- MultimediaN E-Culture Demonstrator.- A Semantic Web Services GIS Based Emergency Management Application.- Doctoral Consortium.- Package-Based Description Logics - Preliminary Results.- Distributed Policy Management in Semantic Web.- Evaluation of SPARQL Queries Using Relational Databases.- Dynamic Contextual Regulations in Open Multi-agent Systems.- From Typed-Functional Semantic Web Services to Proofs.- Towards a Usable Group Editor for Ontologies.- Talking to the Semantic Web - Query Interfaces to Ontologies for the Casual User.- Changing Ontology Breaks Queries.- Towards a Global Scale Semantic Web.- Schema Mappings for the Web.- Triple Space Computing for Semantic Web Services - A PhD Roadmap.- Toward Making Online Biological Data Machine Understandable.- KeynoteAbstracts.- Where the Social Web Meets the Semantic Web.- The Semantic Web: Suppliers and Customers.- The Semantic Web and Networked Governance: Promise and Challenges.
627 citations
01 Sep 2006
TL;DR: This paper presents ontology mapping categories, describes the characteristics of each category, compares these characteristics, and surveys tools, systems, and related work based on each category ofOntology mapping.
Abstract: Ontology is increasingly seen as a key factor for enabling interoperability across heterogeneous systems and semantic web applications. Ontology mapping is required for combining distributed and heterogeneous ontologies. Developing such ontology mapping has been a core issue of recent ontology research. This paper presents ontology mapping categories, describes the characteristics of each category, compares these characteristics, and surveys tools, systems, and related work based on each category of ontology mapping. We believe this paper provides readers with a comprehensive understanding of ontology mapping and points to various research topics about the specific roles of ontology mapping.
605 citations
01 Jan 2006
TL;DR: The applicability of social network analysis to the semantic web, particularly discussing the multi-dimensional networks that evolve from ontological trust specifications, is described.
Abstract: The so-called “Web of Trust” is one of the ultimate goals of the Semantic Web. Research on the topic of trust in this domain has focused largely on digital signatures, certificates, and authentication. At the same time, there is a wealth of research into trust and social networks in the physical world. In this paper, we describe an approach for integrating the two to build a web of trust in a more social respect. This paper describes the applicability of social network analysis to the semantic web, particularly discussing the multi-dimensional networks that evolve from ontological trust specifications. As a demonstration of algorithms used to infer trust relationships, we present several tools that allow users to take advantage of trust metrics that use the network.
484 citations
01 Jan 2006
TL;DR: The Tabulator project is an attempt to demonstrate and utilize the power of linked RDF data with a user-friendly Semantic Web browser that is able to recognize and follow RDF links to other RDF resources based on the user’s exploration and analysis.
Abstract: A web of linked RDF data may be enabled by standards specifying how links should be made in RDF and under what conditions they should be followed as well as powerful generic RDF browsers that can traverse an open web of RDF resources. The Tabulator is an RDF browser, which is designed both for new users to provoke interest in the Semantic Web and give them a means to access and interact with the entire web of RDF data, and for developers of RDF content to provide incentive for them to post their data in RDF, to refine and promote RDF linking standards, and to let providers see how their data interacts with the rest of the Semantic Web. A challenge for Semantic Web browsers is to bring the power of domain-specific applications to a generic program when new unexpected domains can be encountered in real time. The Tabulator project is an attempt to demonstrate and utilize the power of linked RDF data with a user-friendly Semantic Web browser that is able to recognize and follow RDF links to other RDF resources based on the user’s exploration and analysis.
475 citations
TL;DR: A definition of trust suitable for use in Web-based social networks with a discussion of the properties that will influence its use in computation is introduced and two algorithms for inferring trust relationships between individuals that are not directly connected in the network are presented.
Abstract: The growth of Web-based social networking and the properties of those networks have created great potential for producing intelligent software that integrates a user's social network and preferences. Our research looks particularly at assigning trust in Web-based social networks and investigates how trust information can be mined and integrated into applications. This article introduces a definition of trust suitable for use in Web-based social networks with a discussion of the properties that will influence its use in computation. We then present two algorithms for inferring trust relationships between individuals that are not directly connected in the network. Both algorithms are shown theoretically and through simulation to produce calculated trust values that are highly accurate.. We then present TrustMail, a prototype email client that uses variations on these algorithms to score email messages in the user's inbox based on the user's participation and ratings in a trust network.
433 citations
TL;DR: It is found that the areas of open standard, web services, RDF, semantic technologies and portals with self‐service technologies are going to play a significant part in the evolution of CM systems.
Abstract: Purpose – Aims to review the key concepts of competency management (CM) and to propose method for developing competency method.Design/methodology/approach – Examines the CM features of 22 CM systems and 18 learning management systems.Findings – Finds that the areas of open standard (XML, web services, RDF), semantic technologies (ontologies and the semantic web) and portals with self‐service technologies are going to play a significant part in the evolution of CM systems.Originality/value – Emphasizes the beneficial attributes of CM for private and public organizations.
418 citations
23 May 2006
TL;DR: This paper explores a complement approach that focuses on the "social annotations of the web" which are annotations manually made by normal web users without a pre-defined formal ontology, and shows how emergent semantics can be statistically derived from the social annotations.
Abstract: In order to obtain a machine understandable semantics for web resources, research on the Semantic Web tries to annotate web resources with concepts and relations from explicitly defined formal ontologies. This kind of formal annotation is usually done manually or semi-automatically. In this paper, we explore a complement approach that focuses on the "social annotations of the web" which are annotations manually made by normal web users without a pre-defined formal ontology. Compared to the formal annotations, although social annotations are coarse-grained, informal and vague, they are also more accessible to more people and better reflect the web resources' meaning from the users' point of views during their actual usage of the web resources. Using a social bookmark service as an example, we show how emergent semantics [2] can be statistically derived from the social annotations. Furthermore, we apply the derived emergent semantics to discover and search shared web bookmarks. The initial evaluation on our implementation shows that our method can effectively discover semantically related web bookmarks that current social bookmark service can not discover easily.
410 citations
01 Jan 2006
TL;DR: This work defines a set of general criteria for a good tagging system and proposes a collaborative tag suggestion algorithm using these criteria to spot high-quality tags and employs a goodness measure for tags derived from collective user authorities to combat spam.
Abstract: Content organization over the Internet went through several interesting phases of evolution: from structured directories to unstructured Web search engines and more recently, to tagging as a way for aggregating information, a step towards the semantic web vision. Tagging allows ranking and data organization to directly utilize inputs from end users, enabling machine processing of Web content. Since tags are created by individual users in a free form, one important problem facing tagging is to identify most appropriate tags, while eliminating noise and spam. For this purpose, we define a set of general criteria for a good tagging system. These criteria include high coverage of multiple facets to ensure good recall, least effort to reduce the cost involved in browsing, and high popularity to ensure tag quality. We propose a collaborative tag suggestion algorithm using these criteria to spot high-quality tags. The proposed algorithm employs a goodness measure for tags derived from collective user authorities to combat spam. The goodness measure is iteratively adjusted by a reward-penalty algorithm, which also incorporates other sources of tags, e.g., content-based auto-generated tags. Our experiments based on My Web 2.0 show that the algorithm is effective.
13 Feb 2006
TL;DR: FilmTrust is a website that integrates Semantic Web-based social networks, augmented with trust, to create predictive movie recommendations that are more accurate than other techniques in certain cases.
Abstract: In this paper, we present FilmTrust, a website that integrates Semantic Web-based social networks, augmented with trust, to create predictive movie recommendations. We show how these recommendations are more accurate than other techniques in certain cases, and discuss this technique as a mechanism of Semantic Web interaction.
TL;DR: The FOGA (fuzzy ontology generation framework) is proposed for automatic generation of fuzzy ontology on uncertainty information and a fuzzy-based technique for integrating other attributes of database to the ontology is proposed.
Abstract: Ontology is an effective conceptualism commonly used for the semantic Web. Fuzzy logic can be incorporated to ontology to represent uncertainty information. Typically, fuzzy ontology is generated from a predefined concept hierarchy. However, to construct a concept hierarchy for a certain domain can be a difficult and tedious task. To tackle this problem, this paper proposes the FOGA (fuzzy ontology generation framework) for automatic generation of fuzzy ontology on uncertainty information. The FOGA framework comprises the following components: fuzzy formal concept analysis, concept hierarchy generation, and fuzzy ontology generation. We also discuss approximating reasoning for incremental enrichment of the ontology with new upcoming data. Finally, a fuzzy-based technique for integrating other attributes of database to the ontology is proposed
26 Jun 2006
TL;DR: The architecture and design principles of IkeWiki, a semantic Wiki developed at Salzburg research, are described, which has been developed primarily as a tool for ontology engineering, but can be used in a variety of application scenarios.
Abstract: This article describes the architecture and design principles of IkeWiki, a Semantic Wiki we developed at Salzburg Research. Outstanding features of IkeWiki are its support for collaborative knowledge engineering, its ease of use, its support for different levels of formalisation ranging from informal texts to formal ontologies, and its sophisticated, interactive user interface. While IkeWiki has been developed primarily as a tool for ontology engineering, it can be used in a variety of application scenarios. We briefly present some of these at the end of the article.
02 Oct 2006
TL;DR: SemSearch is presented, a search engine, which pays special attention to semantic search by providing several means to hide the complexity of semantic search from end users and thus make it easy to use and effective.
Abstract: Existing semantic search tools have been primarily designed to enhance the performance of traditional search technologies but with little support for ordinary end users who are not necessarily familiar with domain specific semantic data, ontologies, or SQL-like query languages. This paper presents SemSearch, a search engine, which pays special attention to this issue by providing several means to hide the complexity of semantic search from end users and thus make it easy to use and effective.
05 Nov 2006
TL;DR: OntoWiki facilitates the visual presentation of a knowledge base as an information map, with different views on instance data, and enables intuitive authoring of semantic content, with an inline editing mode for editing RDF content, similar to WYSIWYG for text documents.
Abstract: We present OntoWiki, a tool providing support for agile, distributed knowledge engineering scenarios. OntoWiki facilitates the visual presentation of a knowledge base as an information map, with different views on instance data. It enables intuitive authoring of semantic content, with an inline editing mode for editing RDF content, similar to WYSIWYG for text documents. It fosters social collaboration aspects by keeping track of changes, allowing to comment and discuss every single part of a knowledge base, enabling to rate and measure the popularity of content and honoring the activity of users. Ontowiki enhances the browsing and retrieval by offering semantic enhanced search strategies. All these techniques are applied with the ultimate goal of decreasing the entrance barrier for projects and domain experts to collaborate using semantic technologies. In the spirit of the Web 2.0 OntoWiki implements an ”architecture of participation” that allows users to add value to the application as they use it. It is available as open-source software and a demonstration platform can be accessed at http://3ba.se.
01 Jan 2006
TL;DR: This paper presents some examples of ontology applications throughout the Software Engineering lifecycle and discusses the advantages of ontologies in each case and provides a framework for classifying the usage of ontological applications in Software Engineering.
Abstract: The emerging field of semantic web technologies promises new stimulus for Software Engineering research. However, since the underlying concepts of the semantic web have a long tradition in the knowledge engineering field, it is sometimes hard for software engineers to overlook the variety of ontology-enabled approaches to Software Engineering. In this paper we therefore present some examples of ontology applications throughout the Software Engineering lifecycle. We discuss the advantages of ontologies in each case and provide a framework for classifying the usage of ontologies in Software Engineering.
23 May 2006
TL;DR: This technique takes advantage of the detailed semantics captured within an OWL ontology to produce highly relevant segments from large description logic ontologies for the purposes of increasing tractability for both humans and computers.
Abstract: Ontologies are at the heart of the semantic web. They define the concepts and relationships that make global interoperability possible. However, as these ontologies grow in size they become more and more difficult to create, use, understand, maintain, transform and classify. We present and evaluate several algorithms for extracting relevant segments out of large description logic ontologies for the purposes of increasing tractability for both humans and computers. The segments are not mere fragments, but stand alone as ontologies in their own right. This technique takes advantage of the detailed semantics captured within an OWL ontology to produce highly relevant segments. The research was evaluated using the GALEN ontology of medical terms and procedures.
TL;DR: The ability of the AsD ontology to be reasoned can capture both assembly and joining intents by a demonstration with a realistic mechanical assembly and a new assembly design information-sharing framework and an assembly design browser for a collaborative product development.
Abstract: To realize a truly collaborative product design and development process, effective communication among design collaborators is a must. In other words, the design intent that is imposed in a product design should be seized and interpreted properly; heterogeneous modeling terms should be semantically processed both by design collaborators and intelligent systems. Ontologies in the Semantic Web can explicitly represent semantics and promote integrated and consistent access to data and services. Thus, if an ontology is used in a heterogeneous and distributed design collaboration, it will explicitly and persistently represent engineering relations that are imposed in an assembly design. Design intent can be captured by reasoning, and, in turn, as reasoned facts, it can be propagated and shared with design collaborators. This paper presents a new paradigm of ontology-based assembly design. In the framework, an assembly design (AsD) ontology serves as a formal, explicit specification of assembly design so that it makes assembly knowledge both machine-interpretable and to be shared. An Assembly Relation Model (ARM) is enhanced using ontologies that represent engineering, spatial, assembly, and joining relations of assembly in a way that promotes collaborative assembly information-sharing environments. In the developed AsD ontology, implicit AsD constraints are explicitly represented using OWL (Web Ontology Language) and SWRL (Semantic Web Rule Language). This paper shows that the ability of the AsD ontology to be reasoned can capture both assembly and joining intents by a demonstration with a realistic mechanical assembly. Finally, this paper presents a new assembly design information-sharing framework and an assembly design browser for a collaborative product development.
11 Jun 2006
TL;DR: WSML distinguishes between conceptual and logical modeling in order to support users who are not familiar with formal logic, while not restricting the expressive power of the language for the expert user.
Abstract: The Web Service Modeling Language (WSML) is a language for the specification of different aspects of Semantic Web Services. It provides a formal language for the Web Service Modeling Ontology WSMO which is based on well-known logical formalisms, specifying one coherent language framework for the semantic description of Web Services, starting from the intersection of Datalog and the Description Logic ${\mathcal SHIQ}$. This core language is extended in the directions of Description Logics and Logic Programming in a principled manner with strict layering. WSML distinguishes between conceptual and logical modeling in order to support users who are not familiar with formal logic, while not restricting the expressive power of the language for the expert user. IRIs play a central role in WSML as identifiers. Furthermore, WSML defines XML and RDF serializations for inter-operation over the Semantic Web.
04 Dec 2006
TL;DR: A QoS-based selection of services is proposed using the Web Services Modeling Ontology for annotating service descriptions with QoS data and a fair and dynamic selection mechanism is presented, using an optimum normalization algorithm.
Abstract: Automating Service Oriented Architectures by augmenting them with semantics will form the basis of the next generation of computing. Selection of service still is an important challenge, especially, when a set of services fulfilling user's capabilities requirements have been discovered, among these services which one will be eventually invoked by user is very critical, generally depending on a combined evaluation of qualities of services (Qos). This paper proposes a QoS-based selection of services. Initially we specify a QoS ontology and its vocabulary using the Web Services Modeling Ontology (WSMO) for annotating service descriptions with QoS data. We continue by defining quality attributes and their respective measurements along with a QoS selection model. Finally, we present a fair and dynamic selection mechanism, using an optimum normalization algorithm.
TL;DR: A framework for aligning and merging biomedical ontologies (SAMBO), a first step towards a general framework that can be used for comparative evaluations of alignment strategies and their combinations and compared SAMBO with two other systems.
29 Oct 2006
TL;DR: This paper presents an access control model for WBSNs, where policies are expressed as constraints on the type, depth, and trust level of existing relationships, and relevant features are the use of certificates for granting relationships' authenticity and the client-side enforcement of access control according to a rule-based approach.
Abstract: Web-based social networks (WBSNs) are online communities where participants can establish relationships and share resources across the Web with other users In recent years, several WBSNs have been adopting Semantic Web technologies, such as FOAF, for representing users' data and relationships, making it possible to enforce information interchange across multiple WBSNs Despite its advantages in terms of information diffusion, this raised the need of giving content owners more control on the distribution of their resources, which may be accessed by a community far wider than they expected.
In this paper, we present an access control model for WBSNs, where policies are expressed as constraints on the type, depth, and trust level of existing relationships Relevant features of our model are the use of certificates for granting relationships' authenticity, and the client-side enforcement of access control according to a rule-based approach, where a subject requesting to access an object must demonstrate that it has the rights of doing that.
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TL;DR: Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining as mentioned in this paper. But the full potential of this convergence is not yet realized, and the authors of this paper give an overview of where the two areas meet today and sketches ways of how a closer integration could be profitable.
05 Nov 2006
TL;DR: In this article, the authors develop an expressive faceted interface for semi-structured data and develop metrics for automatic ranking of facet quality, bypassing the need for manual construction of the interface.
Abstract: Data on the Semantic Web is semi-structured and does not follow one fixed schema. Faceted browsing [23] is a natural technique for navigating such data, partitioning the information space into orthogonal conceptual dimensions. Current faceted interfaces are manually constructed and have limited query expressiveness. We develop an expressive faceted interface for semi-structured data and formally show the improvement over existing interfaces. Secondly, we develop metrics for automatic ranking of facet quality, bypassing the need for manual construction of the interface. We develop a prototype for faceted navigation of arbitrary RDF data. Experimental evaluation shows improved usability over current interfaces.
05 Nov 2006
TL;DR: In this paper, the authors present different scenarios for ontology maintenance and evolution that they have encountered in their own projects and in those of their collaborators, and discuss the high-level tasks that an editing environment must support.
Abstract: With the wider use of ontologies in the Semantic Web and as part of production systems, multiple scenarios for ontology maintenance and evolution are emerging. For example, successive ontology versions can be posted on the (Semantic) Web, with users discovering the new versions serendipitously; ontology-development in a collaborative environment can be synchronous or asynchronous; managers of projects may exercise quality control, examining changes from previous baseline versions and accepting or rejecting them before a new baseline is published, and so on. In this paper, we present different scenarios for ontology maintenance and evolution that we have encountered in our own projects and in those of our collaborators. We define several features that categorize these scenarios. For each scenario, we discuss the high-level tasks that an editing environment must support. We then present a unified comprehensive set of tools to support different scenarios in a single framework, allowing users to switch between different modes easily.
05 Nov 2006
TL;DR: The /facet tool as discussed by the authors is a tool for Semantic Web developers as an instant interface to their complete dataset that allows the inclusion of facet-specific display options that go beyond the hierarchical navigation that characterizes current facet browsing.
Abstract: Facet browsing has become popular as a user friendly interface to data repositories. The Semantic Web raises new challenges due to the heterogeneous character of the data. First, users should be able to select and navigate through facets of resources of any type and to make selections based on properties of other, semantically related, types. Second, where traditional facet browsers require manual configuration of the software, a semantic web browser should be able to handle any RDFS dataset without any additional configuration. Third, hierarchical data on the semantic web is not designed for browsing: complementary techniques, such as search, should be available to overcome this problem. We address these requirements in our browser, /facet. Additionally, the interface allows the inclusion of facet-specific display options that go beyond the hierarchical navigation that characterizes current facet browsing. /facet is a tool for Semantic Web developers as an instant interface to their complete dataset. The automatic facet configuration generated by the system can then be further refined to configure it as a tool for end users. The implementation is based on current Web standards and open source software. The new functionality is motivated using a scenario from the cultural heritage domain.
18 Dec 2006
TL;DR: A state of the art survey of the works done on social network analysis ranging from pure mathematical analyses in graphs to analysing the social networks in semantic Web is given to provide a road map for researchers working on different aspects of social networkAnalysis.
Abstract: A social network is a set of people (or organizations or other social entities) connected by a set of social relationships, such as friendship, co-working or information exchange. Social network analysis focuses on the analysis of patterns of relationships among people, organizations, states and such social entities. Social network analysis provides both a visual and a mathematical analysis of human relationships. Web can also be considered as a social network. Social networks are formed between Web pages by hyperlinking to other Web pages. In this paper a state of the art survey of the works done on social network analysis ranging from pure mathematical analyses in graphs to analyzing the social networks in Semantic Web is given. The main goal is to provide a road map for researchers working on different aspects of Social Network Analysis.
TL;DR: This paper proposes the use of Semantic Web Services in order to overcome the challenge of providing rapid reconfigurability inorder to evolve and adapt to mass customization.
Abstract: One of the significant challenges for current and future manufacturing systems is that of providing rapid reconfigurability in order to evolve and adapt to mass customization. This challenge is aggravated if new types of processes and components are introduced, as existing components are expected to interact with the novel entities but have no previous knowledge on how to collaborate. This statement not only applies to innovative processes and devices, but is also due to the impossibility to incorporate knowledge in a single device about all types of available system components. This paper proposes the use of Semantic Web Services in order to overcome this challenge. The use of ontologies and explicit semantics enable performing logical reasoning to infer sufficient knowledge on the classification of processes that machines offer, and on how to execute and compose those processes to carry out manufacturing orchestration autonomously. A series of motivating utilization scenarios are illustrated, and a research roadmap is presented.
05 Nov 2006
TL;DR: This presentation will show several ways that the best shot the authors have of collective intelligence in their lifetimes is large, distributed human-computer systems, and the best way to get there is to harness the ”people power” of the Web with the techniques of the Semantic Web.
Abstract: The Semantic Web is an ecosystem of interaction among computer systems. The social web is an ecosystem of conversation among people. Both are enabled by conventions for layered services and data exchange. Both are driven by human-generated content and made scalable by machine-readable data. Yet there is a popular misconception that the two worlds are alternative, opposing ideologies about how the web ought to be. Folksonomy vs. ontology. Practical vs. formalistic. Humans vs. machines. This is nonsense, and it is time to embrace a unified view. I subscribe to the vision of the Semantic Web as a substrate for collective intelligence. The best shot we have of collective intelligence in our lifetimes is large, distributed human-computer systems. The best way to get there is to harness the ”people power” of the Web with the techniques of the Semantic Web. In this presentation I will show several ways that this can be, and is, happening.