Ontology-Based Constraint Recognition for Free-Form Service Requests

Al-Muhammed, Muhammed Jassem; Embley, David W.

doi:10.1109/icde.2007.367882

Cited by 15 publications

(14 citation statements)

References 6 publications

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“…+ 05] and some work on free-form query processing [Vic06,AME07]. We nevertheless still have much work to do, even on fundamental WoK components such as creating a sharable data-frame library, constructing data frames for relationship sets, finding ways to more easily produce instance recognizers, developing processes for reverse-engineering additional genres of semi-structured sources into KBs, investigating bootstrapping as a way to construct extraction ontologies, enhancing query processing, incorporating reasoning, and addressing performance scalability.…”

Section: Resultsmentioning

confidence: 99%

Conceptual Modeling Foundations for a Web of Knowledge

Embley

Liddle

Lonsdale

2011

Handbook of Conceptual Modeling

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The semantic web purports to be a web of knowledge that can answer our questions, help us reason about everyday problems as well as scientific endeavors, and service many of our wants and needs. Researchers and others expound various views about exactly what this means. Here we propose an answer with conceptual modeling as its foundation. We define a web of knowledge as a collection of interconnected knowledge bundles superimposed over a web of documents. Knowledge bundles are conceptual model instances augmented with facilities that provide for both extensional and intensional facts, for linking between knowledge bundles yielding a web of data, and for linking to an underlying document collection providing a means of authentication. We formally define both the component parts of these augmented conceptual models and their synergistic interconnections. As for practicalities, we discuss problems regarding the potentially high cost of constructing a web of knowledge and explain how they may be mitigated. We also discuss usage issues and show how untrained users can interact with and gain benefit from a web of knowledge.

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Section: Resultsmentioning

confidence: 99%

Conceptual Modeling Foundations for a Web of Knowledge

Embley

Liddle

Lonsdale

2011

Handbook of Conceptual Modeling

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“…In this case, the web of KBs would directly support question answering-returning answers to questions and links to pages to verify answers. Indeed, as explained elsewhere [AME07], users can successfully pose free-form questions in an interface to a web of KBs. We further note that when building a KB is appropriate, none of the overhead is wasted.…”

Section: Discussionmentioning

confidence: 99%

KBB: A Knowledge-Bundle Builder for Research Studies

Embley

Liddle

Lonsdale

et al. 2010

Lecture Notes in Computer Science

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Abstract. Researchers struggle to manage vast amounts of data coming from hundreds of sources in online repositories. To successfully conduct research studies, researchers need to find, retrieve, filter, extract, integrate, organize, and share information in a timely and high-precision manner. We are building a system that implements active conceptual modeling for learning as a way to give researchers the tools they need to perform their tasks in a more efficient, user-friendly, and computersupported way. The system involves (1) creating "knowledge bundles" (KBs), which are data representations that enable researchers to perform their information extraction and organization work, and (2) providing a "knowledge bundle builder" (KBB) to help researchers develop KBs in a synergistic and incremental manner. The KBB can support both individual and team work, and can even help provide for larger-scale research repositories to be shared widely among the research community.

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“…For each ontology, the broker applies all the recognizers in the data frames to the request and ranks the ontology according to the number of matches the ontology has with the request. (More details about request-ontology matching and ranking can be found elsewhere [2].) The broker then selects the ontologies with the highest rank as a means to find OBWSs that can service the request.…”

Section: Request-oriented Architecturementioning

confidence: 99%