Semantic Web

About: Semantic Web is a research topic. Over the lifetime, 26987 publications have been published within this topic receiving 534275 citations. The topic is also known as: Sem Web & SemWeb.

Linked Data, Big Data, and the 4th Paradigm

Abstract: Around 2006, the inception of Linked Data [2] has led to a realignment of the Semantic Web vision and the realization that data is not merely a way to evaluate our theoretical considerations, but a key research enabler in its own right that inspires novel theoretical and foundational research questions. Since then, Linked Data is growing rapidly and is altering research, governments, and industry. Simply put, Linked Data takes the World Wide Web’s ideas of global identifiers and links and applies them to (raw) data, not just documents. Moreover, and regularly highlighted by Tim Berners-Lee, Anybody can say Anything about Any topic (AAA)1 [1], which leads to a multi-thematic, multi-perspective, and multi-medial global data graph. More recently, Big Data has made its appearance in the shared mindset of researchers, practitioners, and funding agencies, driven by the awareness that concerted efforts are needed to address 21st century data collection, analysis, management, ownership, and privacy issues. While there is no generally agreed understanding of what exactly is (or more importantly, what is not) Big Data, an increasing number of V’s has been used to characterize different dimensions and challenges of Big Data: volume, velocity, variety, value, and veracity. Interestingly, different (scientific) disciplines highlight certain dimensions and neglect others. For instance, super computing seems to be mostly interested in the volume dimension while researchers working on sensor webs and the internet of things seem to push on the velocity front. The social sciences and humanities, in contrast, are more interested in value and veracity. As argued before [13,17], the variety dimensions seems to be the most intriguing one for the Semantic Web and the one where we can contribute-

Domain Taxonomy for Construction Concepts: Toward a Formal Ontology for Construction Knowledge

Abstract: With the advancement of the semantic web, the construction industry is at a stage where intelligent knowledge management systems can be used. Such systems support more effective collaboration, where virtual teams of skilled users, not software, exchange ideas, decisions, and best practice. To achieve that, there is a need to create consistent semantic representation of construction knowledge. Existing representations, in the form of classification systems and product data models, lack effective modeling of concept semantics—a fundamental requirement for human-based exchange of knowledge. Toward this objective, this paper presents a domain taxonomy that was developed as part of the e-COGNOS project. The taxonomy was developed as a first step in the establishment of domain ontology for construction. The taxonomy was developed to be process-centered and to allow for utilization of already existing classification systems (BS6100, Master Format, and UniClass, for example). The taxonomy uses seven major domains...

The Semantic Web – ISWC 2012

Abstract: Research Track- MORe: Modular Combination of OWL Reasoners for Ontology Classification- A Formal Semantics for Weighted Ontology- Personalised Graph-Based Selection of Web APIs- Instance-Based Matching of Large Ontologies Using Locality-Sensitive Hashing- Automatic Typing of DBpedia Entities- Performance Heterogeneity and Approximate Reasoning in Description Logic Ontologies- Concept-Based Semantic Difference in Expressive Description Logics- SPLODGE: Systematic Generation of SPARQL Benchmark Queries for Linked Open Data- RDFS Reasoning on Massively Parallel Hardware- An Efficient Bit Vector Approach to Semantics-Based Machine Perception in Resource-Constrained Devices- Semantic Enrichment by Non-experts: Usability of Manual Annotation Tools- Ontology-Based Access to Probabilistic Data with OWL QL- Predicting Reasoning Performance Using Ontology Metrics- Formal Verification of Data Provenance Records- Cost Based Query Ordering over OWL Ontologies- Robust Runtime Optimization and Skew-Resistant Execution of Analytical SPARQL Queries on Pig- Large-Scale Learning of Relation-Extraction Rules with Distant Supervision from the Web- The Not-So-Easy Task of Computing Class Subsumptions in OWL RL- Strabon: A Semantic Geospatial DBMS- DeFacto - Deep Fact Validation- Feature LDA: A Supervised Topic Model for Automatic Detection of Web API Documentations from the Web- Efficient Execution of Top-K SPARQL Queries- Collaborative Filtering by Analyzing Dynamic User Interests Modeled by Taxonomy- Link Discovery with Guaranteed Reduction Ratio in Affine Spaces with Minkowski Measures- Hitting the Sweetspot: Economic Rewriting of Knowledge Bases- Mining Semantic Relations between Research Areas- Discovering Concept Coverings in Ontologies of Linked Data Sources- Ontology Constraints in Incomplete and Complete Data- A Machine Learning Approach for Instance Matching Based on Similarity Metrics- Who Will Follow Whom? Exploiting Semantics for Link Prediction in Attention-Information Networks- On the Diversity and Availability of Temporal Information in Linked Open Data- Semantic Sentiment Analysis of Twitter- CrowdMap: Crowdsourcing Ontology Alignment with Microtasks- Domain-Aware Ontology Matching- Rapidly Integrating Services into the Linked Data Cloud- An Evidence-Based Verification Approach to Extract Entities and Relations for Knowledge Base Population- Blank Node Matching and RDF/S Comparison Functions- Hybrid SPARQL Queries: Fresh vs Fast Results- Provenance for SPARQL Queries- SRBench: A Streaming RDF/SPARQL Benchmark- Scalable Geo-thematic Query Answering- In-Use Track- Managing the Life-Cycle of Linked Data with the LOD2 Stack- Achieving Interoperability through Semantics-Based Technologies: The Instant Messaging Case- Linking Smart Cities Datasets with Human Computation - The Case of UrbanMatch- ourSpaces - Design and Deployment of a Semantic Virtual Research Environment- Embedded EL+ Reasoning on Programmable Logic Controllers- Experiences with Modeling Composite Phenotypes in the SKELETOME Project- Toward an Ecosystem of LOD in the Field: LOD Content Generation and Its Consuming Service- Applying Semantic Web Technologies for Diagnosing Road Traffic Congestions- deqa: Deep Web Extraction for Question Answering- QuerioCity: A Linked Data Platform for Urban Information Management- Semantic Similarity-Driven Decision Support in the Skeletal Dysplasia Domain- Using SPARQL to Query BioPortal Ontologies and Metadata- Trentino Government Linked Open Geo-data: A Case Study- Semantic Reasoning in Context-Aware Assistive Environments to Support Ageing with Dementia- Query Driven Hypothesis Generation for Answering Queries over NLP Graphs- A Comparison of Hard Filters and Soft Evidence for Answer Typing in Watson- Incorporating Semantic Knowledge into Dynamic Data Processing for Smart Power Grids- Evaluations and Experiments Track- Evaluating Semantic Search Query Approaches with Expert and Casual Users- Extracting Justifications from BioPortal Ontologies- Linked Stream Data Processing Engines: Facts and Figures- Benchmarking Federated SPARQL Query Engines: Are ExistingTestbeds Enough?- Tag Recommendation for Large-Scale Ontology-Based Information Systems- Evaluation of Techniques for Inconsistency Handling in OWL 2 QL Ontologies- Evaluating Entity Summarization Using a Game-Based Ground Truth- Evaluation of a Layered Approach to Question Answering over Linked Data- Doctoral Consortium - Long Papers- Cross Lingual Semantic Search by Improving Semantic Similarity and Relatedness Measures- Quality Reasoning in the Semantic Web- Burst the Filter Bubble: Using Semantic Web to Enable Serendipity- Reconstructing Provenance- Very Large Scale OWL Reasoning through Distributed Computation- Replication for Linked Data- Scalable and Domain-Independent Entity Coreference: Establishing High Quality Data Linkages across Heterogeneous Data Sources- Doctoral Consortium - Short Papers- Distributed Reasoning on Semantic Data Streams- Reusing XML Schemas' Information as a Foundation for Designing Domain Ontologies - A Multi-domain Framework for Community Building Based on Data Tagging- Towards a Theoretical Foundation for the Harmonization of Linked Data- Knowledge Pattern Extraction and Their Usage in Exploratory Search- SPARQL Update for Complex Event Processing- Online Unsupervised Coreference Resolution for Semi-structured Heterogeneous Data- Composition of Linked Data-Based RESTful Services

Combining provenance with trust in social networks for semantic web content filtering

Abstract: Social networks are a popular movement on the web. On the Semantic Web, it is simple to make trust annotations to social relationships. In this paper, we present a two level approach to integrating trust, provenance, and annotations in Semantic Web systems. We describe an algorithm for inferring trust relationships using provenance information and trust annotations in Semantic Web-based social networks. Then, we present an application, FilmTrust, that combines the computed trust values with the provenance of other annotations to personalize the website. The FilmTrust system uses trust to compute personalized recommended movie ratings and to order reviews. We believe that the results obtained with FilmTrust illustrate the success that can be achieved using this method of combining trust and provenance on the Semantic Web.

Ontologies and the Semantic Web

Abstract: Michael N. Huhns University of South Carolina The Zen of the Web In contrast to the original Web’s content, which was designed for human use and comprehension, the Semantic Web’s1 content is for computer use and understanding. To date, however, most such efforts have focused on the understanding rather than use. This special issue of IC focuses on the use of the Web by computer systems and agents. By supporting the notion of “getting work done,” the Semantic Web will become more useful, valuable, and pragmatic. Many organizations are attempting to make the Web computer-friendly via Web services, but current incarnations of these technologies are subject to several limitations: