Semantic Web Search Based on Ontological Conjunctive Queries

Abstract

Abstract. Many experts predict that the next huge step forward in Web information technology will be achieved by adding semantics to Web data, and will possibly consist of (some form of) the Semantic Web. In this paper, we present a novel approach to Semantic Web search, called Serene, which allows for a semantic processing of Web search queries, and for evaluating complex Web search queries that involve reasoning over the Web. More specifically, we first add ontological structure and semantics to Web pages, which then allows for both attaching a meaning to Web search queries and Web pages, and for formulating and processing ontology-based complex Web search queries (i.e., conjunctive queries) that involve reasoning over the Web. Here, we assume the existence of an underlying ontology (in a lightweight ontology language) relative to which Web pages are annotated and Web search queries are formulated. Depending on whether we use a general or a specialized ontology, we thus obtain a general or a vertical Semantic Web search interface, respectively. That is, we are actually mapping the Web into an ontological knowledge base, which then allows for Semantic Web search relative to the underlying ontology. The latter is then realized by reduction to standard Web search on standard Web pages and logically completed ontological annotations. That is, standard Web search engines are used as the main inference motor for ontologybased Semantic Web search. We develop the formal model behind this approach and also provide an implementation in desktop search. Furthermore, we report on extensive experiments, including an implemented Semantic Web search on the Internet Movie Database.

Ontology-Based Search of Genomic Metadata

“…The latter approach is the one that we follow in our work. As such, our method is similar to the one presented in [30], developed in the context of Web search. However, both our notion of search query and our notion of materialization of an ontology (hereafter called completion) are specialized to genomic metadata, and therefore differ considerably from the one presented in [30].…”

Semantic search on the Web

“…We now describe our approach to semantic search on the Web presented in [10], which is based on a structured query language that allows to formulate complex ontology-based (conjunctive) search queries.…”

“…More concretely, Web content is associated with semantic annotations; or, from another perspective, the Web is actually mapped into an ontological KB, which then allows for semantic search on the Web relative to the underlying ontology. In [10], we assume that the semantic annotations and their underlying ontology are explicitly given; in recent work, we also explore the automatic mapping of Web content to an ontological KB using rule-based data extraction techniques. Intuitively, such a KB can be considered as an ontological index over the Web, against which ontological Web search queries can be answered.…”

Proximity Matrix Completion and Ranking Ant Colony Optimization technique in Semantic web

“…An increasing number of users in the web makes the search engine are predominant and popular [1]. Semantic web is evolved from the normal web that helps the machine to understand the knowledge of web and can be used for the organization, navigation, integration and task automation [2]. Current techniques are used to represent the semantic data is in the form of RDF Linked.…”