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Deep Web is content hidden behind HTML forms. Since it represents a large portion of the structured, unstructured and dynamic data on the Web, accessing Deep-Web content has been a long challenge for the database community. This paper…

Information Retrieval · Computer Science 2015-08-13 Manvi , Komal Kumar Bhatia , Ashutosh Dixit

We study the notion of hierarchy in the context of visualizing textual data and navigating text collections. A formal framework for ``hierarchy'' is given by an ultrametric topology. This provides us with a theoretical foundation for…

Information Retrieval · Computer Science 2007-05-23 F. Murtagh , J. Mothe , K. Englmeier

This paper describes a new technique, called "knowledge patterns", for helping construct axiom-rich, formal ontologies, based on identifying and explicitly representing recurring patterns of knowledge (theory schemata) in the ontology, and…

Artificial Intelligence · Computer Science 2020-05-12 Peter Clark , John Thompson , Bruce Porter

The delineation of logical definitions for each class in an ontology and the consistent application of these definitions to the assignment of instances to classes are important criteria for ontology evaluation. If ontologies are specified…

Quantitative Methods · Quantitative Biology 2015-02-24 Benjamin M. Good , Gavin Ha , Chi K. Ho , Mark D. Wilkinson

This Ontologies are widely used as a means for solving the information heterogeneity problems on the web because of their capability to provide explicit meaning to the information. They become an efficient tool for knowledge representation…

Artificial Intelligence · Computer Science 2013-06-04 Nora Y. Ibrahim , Sahar A. Mokhtar , Hany M. Harb

Automatic construction of ontologies from text is generally based on retrieving text content. For a much more rich ontology we extend these approaches by taking into account the document structure and some external resources (like thesaurus…

Information Retrieval · Computer Science 2010-02-02 Eric Kergosien , Mouna Kamel , Christian Sallaberry , Marie-Noëlle Bessagnet , Nathalie Aussenac- Gilles , Mauro Gaio

Forms are our gates to the web. They enable us to access the deep content of web sites. Automatic form understanding provides applications, ranging from crawlers over meta-search engines to service integrators, with a key to this content.…

Databases · Computer Science 2012-10-23 Tim Furche , Georg Gottlob , Giovanni Grasso , Xiaonan Guo , Giorgio Orsi , Christian Schallhart

Ontologies are known for their ability to organize rich metadata, support the identification of novel insights via semantic queries, and promote reuse. In this paper, we consider the problem of automated planning, where the objective is to…

Artificial Intelligence · Computer Science 2024-07-09 Bharath Muppasani , Vishal Pallagani , Biplav Srivastava , Raghava Mutharaju , Michael N. Huhns , Vignesh Narayanan

Semantic Web is actually an extension of the current one in that it represents information more meaningfully for humans and computers alike. It enables the description of contents and services in machine-readable form, and enables…

Artificial Intelligence · Computer Science 2010-06-24 Mohammad Mustafa Taye

Keeping the dialogue state in dialogue systems is a notoriously difficult task. We introduce an ontology-based dialogue manage(OntoDM), a dialogue manager that keeps the state of the conversation, provides a basis for anaphora resolution…

Computation and Language · Computer Science 2018-04-16 Duygu Altinok

The representation of workflows and processes is essential in materials science engineering, where experimental and computational reproducibility depend on structured and semantically coherent process models. Although numerous ontologies…

Information Retrieval · Computer Science 2025-09-30 Ebrahim Norouzi , Sven Hertling , Jörg Waitelonis , Harald Sack

This paper studies the differences and similarities between domain ontologies and conceptual data models and the role that ontologies can play in establishing conceptual data models during the process of information systems development. A…

Software Engineering · Computer Science 2007-05-23 Haya El-Ghalayini , Mohammed Odeh , Richard McClatchey

Methods for the automatic composition of services into executable workflows need detailed knowledge about the application domain,in particular about the available services and their behavior in terms of input/output data descriptions. In…

Software Engineering · Computer Science 2015-03-17 Anna-Lena Lamprecht , Stefan Naujokat , Bernhard Steffen , Tiziana Margaria

This paper addresses the challenge of improving information retrieval from semi-structured eXtensible Markup Language (XML) documents. Traditional information retrieval systems (IRS) often overlook user-specific needs and return identical…

Information Retrieval · Computer Science 2026-03-24 Ounnaci Iddir , Ahmed-ouamer Rachid , Tai Dinh

Ontologies represent the conceptual knowledge of a domain. At the core of an ontology is the taxonomy of concepts and subconcepts that represent specific entities, which can be complex to build. In many cases, information is available in…

Artificial Intelligence · Computer Science 2026-05-26 Mathieu d'Aquin

Ontologies are a popular way of representing domain knowledge, in particular, knowledge in domains related to life sciences. (Semi-)automating the process of building an ontology has attracted researchers from different communities into a…

Artificial Intelligence · Computer Science 2021-03-26 Ana Ozaki

As todays world grows with the technology on the other hand it seems to be small with the World Wide Web. With the use of Internet more and more information can be search from the web. When Users fires a query they want relevancy in…

Information Retrieval · Computer Science 2013-11-26 Debajyoti Mukhopadhyay , Sajeeda Shikalgar

The process of building ontologies is a difficult task that involves collaboration between ontology developers and domain experts and requires an ongoing interaction between them. This collaboration is made more difficult, because they tend…

Artificial Intelligence · Computer Science 2017-09-29 Aisha Blfgeh , Phillip Lord

Ontologies are essential for structuring domain knowledge, improving accessibility, sharing, and reuse. However, traditional ontology construction relies on manual annotation and conventional natural language processing (NLP) techniques,…

Artificial Intelligence · Computer Science 2026-02-03 Xuan Liu , Ziyu Li , Mu He , Ziyang Ma , Xiaoxu Wu , Gizem Yilmaz , Yiyuan Xia , Bingbing Li , He Tan , Jerry Ying Hsi Fuh , Wen Feng Lu , Anders E. W. Jarfors , Per Jansson

Our food preferences guide our food choices and in turn affect our personal health and our social life. In this paper, we adopt an approach using a domain ontology expressed in OWL2 to support the acquisition and representation of…

Artificial Intelligence · Computer Science 2022-01-12 Rahma Dandan , Sylvie Despres , Karima Sedki