Peter Mika

Ontologies are us: A unified model of social networks and semantics

In our work the traditional bipartite model of ontologies is extended with the social dimension, leading to a tripartite model of actors, concepts and instances. We demonstrate the application of this representation by showing how community-based semantics emerges from this model through a process of graph transformation. We illustrate ontology emergence by two case studies, an analysis of a large scale folksonomy system and a novel method for the extraction of community-based ontologies from Web pages.

The Semantic Web - ISWC 2006

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.

Ontologies are us: a unified model of social networks and semantics

In our work we extend the traditional bipartite model of ontologies with the social dimension, leading to a tripartite model of actors, concepts and instances. We demonstrate the application of this representation by showing how community-based semantics emerges from this model through a process of graph transformation. We illustrate ontology emergence by two case studies, an analysis of a large scale folksonomy system and a novel method for the extraction of community-based ontologies from Web pages.

Flink: Semantic Web technology for the extraction and analysis of social networks

We present the Flink system for the extraction, aggregation and visualization of online social networks. Flink employs semantic technology for reasoning with personal information extracted from a number of electronic information sources including web pages, emails, publication archives and FOAF profiles. The acquired knowledge is used for the purposes of social network analysis and for generating a web-based presentation of the community. We demonstrate our novel method to social science based on electronic data using the example of the Semantic Web research community.

Understanding the Semantic Web through Descriptions and Situations

The Semantic Web is a powerful vision that is getting to grips with the challenge of providing more human-oriented web services. Hence, reasoning with and across distributed, partially implicit assumptions (contextual knowledge), is a milestone.

Bibster-a semantics-based bibliographic Peer-to-Peer system

This paper describes Bibster, a Peer-to-Peer system for exchanging bibliographic metadata among researchers. We show how Bibster exploits ontologies in data-representation, query formulation, query routing, and query result presentation. The Bibster system is freely available and is used by researchers across multiple organizations.

Ad-hoc object retrieval in the web of data

Semantic Search refers to a loose set of concepts, challenges and techniques having to do with harnessing the information of the growing Web of Data (WoD) for Web search. Here we propose a formal model of one specific semantic search task: ad-hoc object retrieval. We show that this task provides a solid framework to study some of the semantic search problems currently tackled by commercial Web search engines. We connect this task to the traditional ad-hoc document retrieval and discuss appropriate evaluation metrics. Finally, we carry out a realistic evaluation of this task in the context of a Web search application.

Web Semantics in the Clouds

Cloud computing refers to the use of large-scale computer clusters often built from low-cost hardware and network equipment, where resources are allocated dynamically among users of the cluster. While the paradigm is not entirely novel, recent developments in software frameworks for cloud computing are making it increasingly easy for programmers to parallelize and thereby scale-up complex data-processing tasks. This article investigates how this trend is impacting the semantic Web field and shows how cloud computing can be used to analyze, query, and reason with the massive amounts of metadata handled by semantic search engines.

Ranking very many typed entities on wikipedia

We discuss the problem of ranking very many entities of different types. In particular we deal with a heterogeneous set of types, some being very generic and some very specific. We discuss two approaches for this problem: i) exploiting the entity containment graph and ii) using a Web search engine to compute entity relevance. We evaluate these approaches on the real task of ranking Wikipedia entities typed with a state-of-the-art named-entity tagger. Results show that both approaches can greatly increase the performance of methods based only on passage retrieval.

Effective and efficient entity search in RDF data

Triple stores have long provided RDF storage as well as data access using expressive, formal query languages such as SPARQL. The new end users of the Semantic Web, however, are mostly unaware of SPARQL and overwhelmingly prefer imprecise, informal keyword queries for searching over data. At the same time, the amount of data on the Semantic Web is approaching the limits of the architectures that provide support for the full expressivity of SPARQL. These factors combined have led to an increased interest in semantic search, i.e. access to RDF data using Information Retrieval methods. In this work, we propose a method for effective and efficient entity search over RDF data. We describe an adaptation of the BM25F ranking function for RDF data, and demonstrate that it outperforms other state-of-the-art methods in ranking RDF resources. We also propose a set of new index structures for efficient retrieval and ranking of results. We implement these results using the open-source MG4J framework.