Entity-based semantic search on conversational transcripts semantic

This paper describes the implementation of a semantic web search engine on conversation styled transcripts. Our choice of data is Hansard, a publicly available conversation style transcript of parliamentary debates. The current search engine implementation on Hansard is limited to running search queries based on keywords or phrases hence lacks the ability to make semantic inferences from user queries. By making use of knowledge such as the relationship between members of parliament, constituencies, terms of office, as well as topics of debates the search results can be improved in terms of both relevance and coverage. Our contribution is not algorithmic instead we describe how we exploit a collection of external data sources, ontologies, semantic web vocabularies and named entity extraction in the analysis of underlying semantics of user queries as well as the semantic enrichment of the search index thereby improving the quality of results.

Infrastructure and Workflow for the Formal Evaluation of Semantic Search Technologies

This paper describes an infrastructure for the automated evaluation of semantic technologies and, in particular, semantic search technologies. For this purpose, we present an evaluation framework which follows a service-oriented approach for evaluating semantic technologies and uses the Business Process Execution Language (BPEL) to define evaluation workflows that can be executed by process engines. This framework supports a variety of evaluations, from different semantic areas, including search, and is extendible to new evaluations. We show how BPEL addresses this diversity as well as how it is used to solve specific challenges such as heterogeneity, error handling and reuse

Reflections on five years of evaluating semantic search systems

Evaluations of semantic search systems are generally small scale and ad hoc due to the lack of appropriate resources such as test collections, agreed performance criteria and independent judgements of performance. By analysing our work in building and evaluating semantic tools over the last five years, we conclude that the growth of the semantic web led to an improvement in the available resources and the consequent robustness of performance assessments. We propose two directions for continuing evaluation work: the development of extensible evaluation benchmarks and the use of logging parameters for evaluating individual components of search systems.

Semantic search meets the Web

While semantic search technologies have been proven to work well in specific domains, they still have to confront two main challenges to scale up to the Web in its entirety. In this work we address this issue with a novel semantic search system that a) provides the user with the capability to query Semantic Web information using natural language, by means of an ontology-based Question Answering (QA) system [14] and b) complements the specific answers retrieved during the QA process with a ranked list of documents from the Web [3]. Our results show that ontology-based semantic search capabilities can be used to complement and enhance keyword search technologies.

The usability of semantic search tools:a review

The goal of semantic search is to improve on traditional search methods by exploiting the semantic metadata. In this paper, we argue that supporting iterative and exploratory search modes is important to the usability of all search systems. We also identify the types of semantic queries the users need to make, the issues concerning the search environment and the problems that are intrinsic to semantic search in particular. We then review the four modes of user interaction in existing semantic search systems, namely keyword-based, form-based, view-based and natural language-based systems. Future development should focus on multimodal search systems, which exploit the advantages of more than one mode of interaction, and on developing the search systems that can search heterogeneous semantic metadata on the open semantic Web.

Semantic search components:a blueprint for effective query language interfaces

Formulating complex queries is hard, especially when users cannot understand all the data structures of multiple complex knowledge bases. We see a gap between simplistic but user friendly tools and formal query languages. Building on an example comparison search, we propose an approach in which reusable search components take an intermediary role between the user interface and formal query languages.

Semantic Search of Internet Information Resources on Base of Ontologies and Multilinguistic Thesauruses

The approaches to the analysis of various information resources pertinent to user requirements at a semantic level are determined by the thesauruses of the appropriate subject domains. The algorithms of formation and normalization of the multilinguistic thesaurus, and also methods of their comparison are given.

SemSearch:a search engine for the semantic web

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.

The state of semantic technology today - overview of the first SEALS evaluation campaigns

This paper describes the first five SEALS Evaluation Campaigns over the semantic technologies covered by the SEALS project (ontology engineering tools, ontology reasoning tools, ontology matching tools, semantic search tools, and semantic web service tools). It presents the evaluations and test data used in these campaigns and the tools that participated in them along with a comparative analysis of their results. It also presents some lessons learnt after the execution of the evaluation campaigns and draws some final conclusions.

Semantic evaluation at large scale (SEALS)

This paper describes the main goals and outcomes of the EU-funded Framework 7 project entitled Semantic Evaluation at Large Scale (SEALS). The growth and success of the Semantic Web is built upon a wide range of Semantic technologies from ontology engineering tools through to semantic web service discovery and semantic search. The evaluation of such technologies ? and, indeed, assessments of their mutual compatibility ? is critical for their sustained improvement and adoption. The SEALS project is creating an open and sustainable platform on which all aspects of an evaluation can be hosted and executed and has been designed to accommodate most technology types. It is envisaged that the platform will become the de facto repository of test datasets and will allow anyone to organise, execute and store the results of technology evaluations free of charge and without corporate bias. The demonstration will show how individual tools can be prepared for evaluation, uploaded to the platform, evaluated according to some criteria and the subsequent results viewed. In addition, the demonstration will show the flexibility and power of the SEALS Platform for evaluation organisers by highlighting some of the key technologies used.

An infrastructure for semantic web portals

This paper presents our Semantic Web portal infrastructure, which focuses on how to enhance knowledge access in traditional Web portals by gathering and exploiting semantic metadata. Special attention is paid to three important issues that affect the performance of knowledge access: i) high quality metadata acquisition, which concerns how to ensure high quality while gathering semantic metadata from heterogeneous data sources; ii) semantic search, which addresses how to meet the information querying needs of ordinary end users who are not necessarily familiar with the problem domain or the supported query language; and iii) semantic browsing, which concerns how to help users understand and explore the problem domain.

Museum Collections and the Semantic Web

The paper discusses some current trends in the area of development and use of semantic portals for accessing heterogeneous museum collections on the Semantic Web. The presentation is focused on some issues concerning metadata standards for museums, museum collections ontologies and semantic search engines. A number of design considerations and recommendations are formulated.

Indexação e pesquisa de informação com base em ontologias interligadas

Tecnologias da Web Semântica como RDF, OWL e SPARQL sofreram nos últimos anos um forte crescimento e aceitação. Projectos como a DBPedia e Open Street Map começam a evidenciar o verdadeiro potencial da Linked Open Data. No entanto os motores de pesquisa semânticos ainda estão atrasados neste crescendo de tecnologias semânticas. As soluções disponíveis baseiam-se mais em recursos de processamento de linguagem natural. Ferramentas poderosas da Web Semântica como ontologias, motores de inferência e linguagens de pesquisa semântica não são ainda comuns. Adicionalmente a esta realidade, existem certas dificuldades na implementação de um Motor de Pesquisa Semântico. Conforme demonstrado nesta dissertação, é necessária uma arquitectura federada de forma a aproveitar todo o potencial da Linked Open Data. No entanto um sistema federado nesse ambiente apresenta problemas de performance que devem ser resolvidos através de cooperação entre fontes de dados. O standard actual de linguagem de pesquisa na Web Semântica, o SPARQL, não oferece um mecanismo para cooperação entre fontes de dados. Esta dissertação propõe uma arquitectura federada que contém mecanismos que permitem cooperação entre fontes de dados. Aborda o problema da performance propondo um índice gerido de forma centralizada assim como mapeamentos entre os modelos de dados de cada fonte de dados. A arquitectura proposta é modular, permitindo um crescimento de repositórios e funcionalidades simples e de forma descentralizada, à semelhança da Linked Open Data e da própria World Wide Web. Esta arquitectura trabalha com pesquisas por termos em linguagem natural e também com inquéritos formais em linguagem SPARQL. No entanto os repositórios considerados contêm apenas dados em formato RDF. Esta dissertação baseia-se em múltiplas ontologias partilhadas e interligadas.

Substrats neuronaux du traitement visuel et sémantique des mots dans le vieillissement normal : apports de la MEG

Bien que l’on ait longtemps considéré que les substrats cérébraux de la mémoire sémantique (MS) demeuraient intacts au cours du vieillissement normal (VN), en raison d’une préservation de la performance des personnes âgées à des épreuves sémantiques, plusieurs études récentes suggèrent que des modifications cérébrales sous-tendant le traitement sémantique opèrent au cours du vieillissement. Celles-ci toucheraient principalement les régions responsables des aspects exécutifs du traitement sémantique, impliqués dans les processus de recherche, de sélection et de manipulation stratégique de l’information sémantique. Cependant, les mécanismes spécifiques régissant la réorganisation cérébrale du traitement sémantique au cours du VN demeurent méconnus, notamment en raison de divergences méthodologiques entre les études. De plus, des données de la littérature suggèrent que des modifications cérébrales associées au vieillissement pourraient également avoir lieu en relation avec les aspects perceptifs visuels du traitement des mots. Puisque le processus de lecture des mots représente un processus interactif et dynamique entre les fonctions perceptuelles de bas niveau et les fonctions de plus haut niveau tel que la MS, il pourrait exister des modifications liées à l’âge au plan des interactions cérébrales entre les aspects perceptifs et sémantiques du traitement des mots. Dans son ensemble, l’objectif de la présente thèse était de caractériser les modifications cérébrales ainsi que le décours temporel du signal cérébral qui sont associés au traitement sémantique ainsi qu’au traitement perceptif des mots en lien avec le VN, ainsi que les relations et les modulations entre les processus sémantiques et perceptifs au cours du VN, en utilisant la magnétoencéphalographie (MEG) comme technique d’investigation. Dans un premier temps (chapitre 2), les patrons d’activation cérébrale d’un groupe de participants jeunes et d’un groupe de participants âgés sains ont été comparés alors qu’ils effectuaient une tâche de jugement sémantique sur des mots en MEG, en se concentrant sur le signal autour de la N400, une composante associée au traitement sémantique. Les résultats démontrent que des modifications cérébrales liées à l’âge touchent principalement les structures impliquées dans les aspects exécutifs du traitement sémantique. Une activation plus importante du cortex préfrontal inférieur (IPC) a été observée chez les participants jeunes que chez les participants âgés, alors que ces derniers activaient davantage les régions temporo-pariétales que les jeunes adultes. Par ailleurs, le lobe temporal antérieur (ATL) gauche, considéré comme une région centrale et amodale du traitement sémantique, était également davantage activé par les participants âgés que par les jeunes adultes. Dans un deuxième temps (chapitre 3), les patrons d’activation cérébrale d’un groupe de participants jeunes et d’un groupe de participants âgés sains ont été comparés en se concentrant sur le signal associé au traitement perceptif visuel, soit dans les 200 premières millisecondes du traitement des mots. Les résultats montrent que des modifications cérébrales liées à l’âge touchent le gyrus fusiforme mais aussi le réseau sémantique, avec une plus grande activation pour le groupe de participants âgés, malgré une absence de différence d’activation dans le cortex visuel extrastrié entre les deux groupes. Les implications théoriques des résultats de ces deux études sont ensuite discutées, et les limites et perspectives futures sont finalement adressées (chapitre 4).