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An evidence perspective on topical relevance types and its implications for exploratory and task-based retrieval

Xiaoli Huang and Dagobert Soergel
College of Information Studies, University of Maryland, College Park, MD 20742, USA

Abstract

Introduction. The concept of relevance lies at the heart of intellectual access and information retrieval, indeed of reasoning and communication in general; in turn, topical relevance lies at the heart of relevance. The common view of topical relevance is limited to topic matching, resulting in information retrieval systems' failure to detect more complex topical connections which are needed to respond to diversified user situations and tasks.
Method. Based on the role a piece of information plays in the overall structure of an argument, we have identified four topical relevance types: Direct, Indirect (circumstantial), Context, and Comparison. In the process of creating a speech retrieval test collection, graduate history students made 27,000 topical relevance assessments between Holocaust survivor interview segments and real user topics, using the four relevance types, each on a scale of 0 - 4. They recorded justifications for their assessments and kept detailed Topic Notes.
Analysis. We analysed these relevance assessments using a grounded theory approach to arrive at a finer classification of topical relevance types.
Results. For example, indirect relevance(a piece of information is connected to the topic indirectly through inference, circumstantial evidence) was refined to Generic Indirect Relevance, Backward Inference (abduction), Forward Inference (deduction), and Inference from Cases (induction), with each subtype being further illustrated and explicated by examples.
Conclusion. Each of these refined types of topical relevance plays a special role in reasoning, making a conclusive argument, or performing a task. Incorporating them into information retrieval systems allows users more flexibility and a better focus on their tasks. They can also be used in teaching reasoning skills.

Introduction

This paper explicates topical relevance from an evidence perspective, where one asks: How does a piece of information fit into the structure of an argument or the reasoning needed to accomplish a task? The concept of relevance lies at the heart of intellectual access and information retrieval, indeed of reasoning and communication in general; in turn, topical relevance lies at the heart of relevance. Although topical relevance is commonly recognized and widely used as an important selection criterion, with few exceptions it is treated as an atomic notion and remains vague and unexplicated.

In contrast, we treat topical relevance as an umbrella concept subsuming more specific topical relevance types. Based on the role a piece of information plays in the overall structure of an argument or in building an understanding of a situation, problem, or issue in the receiver's mind, or the role a piece of information plays in the process of answering a question, deriving a generalization, building an argument, making a decision, applying information to a work task (in the following called simply 'task'), etc., we have identified four topical relevance types (Huang & Soergel 2004). Using the user topic 'Food in Auschwitz' for illustration, these topical relevance types are:

Direct relevance
Direct evidence for what the user asks for
Example: In an interview passage a Holocaust survivor talks about food available to Auschwitz inmates.
Indirect relevance
From which one can infer something about the topic
Example: A Holocaust survivor talks about seeing emaciated people in Auschwitz
Context relevance
Provides background/context for topic
Example: A Holocaust survivor talks about physical labour of Auschwitz inmates
Comparison relevance
Provides information on a similar or contrasting situation
Example: A Holocaust survivor talks about food in the Warsaw ghetto

Within this general perspective, we focus on the evidentiary connection between a piece of information and a user's question, topic, or task. Detecting topical relevance is not just matching meaning or matching words, but determining whether the information at hand can serve as evidence for deriving conclusions of concern. The essence of topical relevance is reasoning from evidence (a piece of information) to a conclusion (or an answer to the user's question). The subject of evidence gains its coherence from inferential reasoning; it has been a sustained focus of multi-disciplinary attention and hence been constantly advanced by confluent efforts in, to name a few disciplines: Law, History, Mathematics, Logic, Witness Psychology, Forensic Science, Intelligence Services, Inferential Communication (especially the relevance theory of communication), Evidence-Based Medicine, and Evidence-Based Policy (Twining 2003). Types of topical relevance can and should be specialized and adapted to these different domains. Connecting the concept of topical relevance to the notion of evidence not only brings in new thoughts from other disciplines for improving our understanding of topical relevance, but also takes the discussion into the broader context of human thinking, reasoning, drawing conclusions, building arguments, and, most generally, building understanding and deriving meaning.

Background

It is generally agreed that relevance is a property of the relationship between a piece of information and a user with a given question or task in a given situation. This concept has many dimensions, such as topicality, appropriateness to the user's background, recency, or authority, to name but a few of over eighty relevance criteria (Barry 1993; Schamber et al. 1990, 1994; Wang and Soergel 1998; Lawley, et. al. 2005). Saracevic (1975) gives a review and a framework for an analysis of relevance with emphasis on topic relevance; the framework is extended in Saracevic (1996). For full bibliographies of relevance see, for example. Mizzarro (1997) or Saravecic (2006). This paper focuses on topical relevance and its explications; we limit our background discussion to seminal works that make an original contribution to the specific purpose of this paper.

Our work builds on the definitions of logical relevance (Cooper 1971) and situational relevance (Wilson 1973). Cooper defined logical relevance based on a strict logical deduction relationship between a statement and a sought-after answer. This definition can rarely be applied literally in the practice of information retrieval but in a broadened view it is fundamental for system design and evaluation. Wilson defined evidential relevance and situational relevance. A piece of information is evidentially relevant if it either increases or decreases the confirmation or probability of a conclusion through deductive or inductive reasoning, including plausible and probabilistic reasoning. Situational relevance is evidential relevance to any question a user is concerned about, a question of importance in the user's situation; all the possible answers to a question constitute one of the user's concern sets. Furthermore, Wilson defined direct situational relevance and indirect situational relevance:

If an item of information Ij is itself a member of a concern set, we shall say that it is directly relevant situationally; if it is relevant but not a member of a concern set, we shall say that it is indirectly relevant situationally. (Wilson 1973: 463)

Our work is related to Green and Bean (1995) who discussed more specific types of semantic relationships between a piece of information and a topic, primarily from a different perspective, so there is little overlap.

Our work is also informed by the literature in the area of evidence as stated above, an aspect we plan to expand on in the future.

Data and methods

The broad set of topical relevance types listed in the introduction emerged from thinking about how historians would use primary materials. We trained relevance assessors (graduate students in history) in applying these relevance types to an oral history collection using real user requests. We analysed the resulting examples from assessors' relevance judgments, using a grounded theory approach (Lindlof and Taylor 2002) as a starting point for refining the types of relevance and developing sub-types.

Data were collected from the MALACH project (Gustman et. al. 2002), which aims at improving speech retrieval through automatic speech recognition (ASR) and subsequent information retrieval assisted by natural language processing techniques. MALACH uses the archive of 52,000 Holocaust survivor interviews assembled by the Shoah Visual History Foundation. Four thousand of these testimonies have been divided into topical segments. From these we selected a speech retrieval test collection, a subset of 400 interviews, totaling about 20,000 segments, paired with seventy-five topics based on real requests to the Foundation (Cross-language Evaluation Forum... 2006).

Our assessors made 27,000 topical relevance assessments between interview segments and topics, using the four relevance types, each on a scale of 0 to 4. They recorded justifications for their assessments. They also kept Topic Notes: notes on their interpretation of the topics, their rules defining the application of each relevance type to the topic, and typical segment examples (205 Topic Notes, as many topics were reviewed by two or more assessors).

We analysed forty-six Topic Notes (selected for length and variety of assessors and topics) as follows:

The initial coding scheme consisted simply of the four first-level relevance types;
as a starting point, read through ten Topic Notes to identify second-level topical relevance sub-types and refined the coding scheme accordingly;
applied the refined coding scheme to the same ten Topic Notes making further refinements;
looked at all examples under each second-level subtype to derive third-level sub-types;
applied the resulting coding scheme to all forty-six Topic Notes making further refinements.

The result was a fine-grained classification of topical relevance types and associated examples. We added some topical relevance sub-types based on logical analysis and knowledge from other domains even though they did not happen to occur in our data.

Findings and discussion

In the following, we give definitions of our four types of topical relevance as refined by the analysis of many examples, and we develop more specific sub-types, followed by examples. With the limited space, we cannot list a full range of examples to manifest all the subtleties involved. The relevance types presented here are not always clearly distinct.

Direct relevance

Directly relevant evidence is a direct answer to a question of interest (is a member of the concern set as defined by Wilson) and is exactly, explicitly on topic. It is the most straightforward and intuitive relevance type, with minimal, if any, inferential reasoning involved. Good direct evidence has a wealth of specific details about a topic and has the most significant impact on overall topical relevance.

Topic: Strengthening faith by holocaust experience
Evidence: A survivor talks about how an elderly Salonikan Jew helped strengthen their religious faith during their incarceration; 'we called him grandfather. He always said to us 'You must say Kaddish every night'. I was forced to dispose of corpses in the camp at the time. One day I came back from work and said to him 'Are you crazy?' He said: 'No, something good will happen one day after this. We have to pay a very dear price but we're gonna have our own state of Israel.' And it happened. I survived with my faith and went to Israel.'

Direct relevance is the most recognized and emphasized topical relevance type in both research and practice. It has become the central meaning of topical relevance and is even mistaken as the only meaning of topical relevance. This misperception restricts the attention to a very narrow focus of topical relevance. The effort we made in this study is to broaden our vision to the often ignored non-direct evidential relevance.

Indirect relevance

Making inference about a topic is the central feature of indirect relevance. Indirect evidence, or inferential or circumstantial evidence, is implicit information on a topic. While direct evidence is the answer, indirect evidence can be used to infer the answer; it is one or more inferential steps away from the answer. After joining the dots it contributes as much to understanding a topic as direct evidence. Indirect or circumstantial evidence is often used in court to establish facts. Both direct and indirect evidence are valid for establishing a fact, but they may differ in the level of certainty: the inferential relationship between A and B may be subject to uncertainty, that is, given A we can infer that B with a given probability, also known as inferential strength (Kadane and Schum 1996). To be recognized and further used to draw a conclusion, the inferential strength of indirect evidence needs to be sufficiently high.

Indirect relevance plays an important role in gleaning relevant information from the Holocaust survivor interviews. Survivors usually go into great detail of their personal experience and feelings, without clearly describing or even explicitly mentioning the events or phenomena asked by a topic (request). Direct discussion is rare for many topics, especially for those looking for information on particular phenomena rather than specific events. In these cases, indirect evidence, which is relatively more available, is usually very helpful for leading us to conclusive points. We found three specific sub-types of indirect evidence, as follows.

Generic indirect relevance

This category is almost like direct evidence, missing only a specific piece of information. The argument stays implicit and uncertain only because a survivor's description is not precise enough or the survivor forgets to mention a key name. However, everything else said by the survivor strongly points at a fact that is right on topic. It is characterized by high inferential strength.

Topic: Stories of Varian Fry and the Emergency Rescue Committee who saved thousands in Marseille
Evidence: The survivor mentions obtaining a false name and being rescued from France but does not specifically mention Fry.
Reasoning: Varian Fry created an underground operation to smuggle over 2000 Jews out of France from 1940-1941. Using a false name and being in France constitute strong hints for smuggling associated with Fry.

Backward inference (abduction)

Both backward inference and forward inference are causal reasoning. Backward inference is tracing back or backward chaining, reasoning from effect to cause, or from what is acted upon to actor. In general, backward inference has higher inferential strength than forward inference. As we are tracing backward from the effect or consequence to what has happened before, there is a closed or much restricted reasoning space and, thus, lower probability of going wrong.

Inferring an event or phenomenon from its consequence

The evidence itself does not mention a particular event (or phenomenon) directly, but the consequences caused by the event (or phenomenon) lay out substantial clues for us to trace back to the event (or phenomenon).

Topic: Materials that support or rebuff the claim that Bulgaria saved its Jews from Nazism
Evidence: A survivor comments about the quality of life being better in Bulgaria.
Reasoning: It does not explicitly address the Bulgarian government's policy to its Jews, but better quality of life in Bulgaria is definitely one important effect resulting from the leniency of the government.

Inferring an event or phenomenon from events that happen later

The event (or phenomenon) that constitutes the topic of a request is missing from a survivor's life story narration but the survivor discusses some other events that happened following the particular event. Sometimes those later events can lead us to a conclusive argument about the earlier target event (or phenomenon).

Topic: Nazi theft and expropriation of family property and assets
Evidence: Segments describe forced labour of sorting clothes, jewels, and Jewish ritual objects.
Reasoning: The intensity of sorting labour and the details of sorting process indirectly demonstrate the severity of the earlier seizure of properties and valuables by Nazis.

Inferring an action or phenomenon from reaction

Reactions towards experiences and attempted experiences rather than those that actually occurred fall into this subcategory. The target event is not mentioned or may not have happened at all, but reaction, perception, feeling, attitude, or attempt is a good mirror to reflect what has gone on before.

Topic: Nazi theft and expropriation of family property and assets
Evidence: Segments discuss Jewish efforts to hide property.

Forward inference (deduction)

Forward inference is looking ahead or forward chaining, reasoning from cause to effect, or from actor to what is acted upon. Looking forward is essentially making predictions. Just as any kind of prediction, it deals with an open reasoning space and the possibilities of a predicted event are many if not infinite. Thus, we can infer only with a low or medium level of certainty.

Inferring an event or phenomenon from its cause

Inferring an event or phenomenon from events that happened earlier

If the probability of the association of an early event A and a later event B is high, and if the actual occurrence of early event A is known, we can surmise that the later event B, the one of interest, also occurred.

Topic: Stories of children hidden without their parents and of their rescuers
Evidence: A survivor tells of his sister's absence on the day of the roundup and explains that she had been delivering food to extended family members already in city X.
Reasoning:Not being at the roundup may lead to later hiding experience of his sister, however faintly.

Inferring reaction or feelings from action or phenomenon

When a topic asks for reactions or feelings about an event rather than the event itself, this type of indirect evidence is particularly important.

Inference from cases (induction)

This is a fourth type of indirect evidence, not observed in our data, consisting of examples from which one can induce a pattern that answers the question.

Context relevance

Contextual information helps us to better understand or describe a central event by seeing the general picture where the central event fits in. It can be the setting or environment, the factors or effects, something allowing or hindering an event, something happening behind the scene, etc. To conclude, context evidence is information not specifically on a topic, but surrounding the topic.

Context evidence is something we use to back up an argument but not to base an argument on. There are four major sub-types of surrounding a topic: by scope, by causal sequence, by time sequence and by place.

Context by scope

Doing research on a specific event is similar to using a camera to take pictures. If we focus only on the event, we collect directly or indirectly relevant information that is right on target. By adjusting the lens, we start to see the background and gain a broader view on the target event. In this sense, context evidence is something happening in the background that enriches our understanding of what is going on in the foreground. It sets up a big picture on the physical, political, social and cultural level.

Context as environmental setting

Descriptions of the physical setting and environmental factors, such as the general camp life, living conditions, medical conditions, etc.

Context as social, political and cultural background

This sub-type addresses more intangible elements of social, political and cultural aspects at the time the target event happened. Most historical events did not happen in a vacuum; rather, they are better described as the highlights of some ongoing trend at the time. We understand better a historical event or phenomenon if we look at it in its broad context.

Topic: Stories of Varian Fry and the Emergency Rescue Committee who saved thousands in Marseille
Evidence: A survivor details the political situation in France in 1940-1941 regarding refugees and explains the changes in emigration regulations that made fleeing France difficult.

Context as other supplemental information

Including supplemental information such as statistics, something happening in parallel with the target event, etc.

Topic: Descriptions of Nazi medical experiments
Evidence: General discussion of medical care in the concentration camps where medical experiments were conducted.

Context by causal sequence

This dimension suggests the causal information surrounding an event of interest. It situates our understanding of a target event into a causal network, which helps to illuminate relationships among events. However, the causal network constructed by context evidence only tells us what affects or what is affected in a broad way. It is different from the causal relationships involved in direct and indirect relevance. Direct and indirect evidence provide a restrictive evidential space that leads to a specific answer (or fact) while context is much more open to different possibilities and thus does not necessarily lead to one answer or any conclusive argument at all. As described in the following example, 'the authorities often raided the convent' is one factor that hinders children from hiding in a convent, but is not sufficiently strong evidence of the cause of hiding or not hiding.

Context as helping or hindering factor

This includes both helping and hindering factors behind an event or phenomenon. These factors affect but are not sufficiently causal of a target event happening or not happening.

Topic: Stories of children hidden without their parents and of their rescuers
Evidence: Mentions of factors hindering hiding, such as 'the authorities often raided the convent'; some children were hidden in convents during the war.

Context as effect or influence

Discussions of how situations or conditions were affected by a target event. It indicates the influence but not the logical consequence of a target event.

Topic: Descriptions of Nazi medical experiments
Evidence: A survivor describes his long-term conditions related to the medical experiments in which he was forced to participate.

Context by time sequence

This dimension is concerned with the things that happened close to the target event in time. While the first dimension describes the background at the time, this dimension describes something that happened immediately before or after a target event. The preceding and following experience (or event) links the isolated descriptions of events together and provides a more continuous view of the events' development. The target event is either the starting point or the ending point of the context evidence. Unlike forward- and backward-inference evidence, their relations to a target event are certain and explicitly stated.

Context as preceding experience or event

Topic:Descriptions of Nazi medical experiments
Evidence: The prisoner selections conducted by Dr. Mengele in concentration camps that are related to medical experiments.

Context as following experience/event

This provides follow-up information and gives an idea of what was going on in survivors' lives following the time the target event or phenomenon took place.

Context by place

This dimension is concerned with the things that happened close to the target event in place. (Not found in the data.)

Comparison relevance

Comparison relevance is driven by perceived similarity, identifying both analogous and contrasting persons, places, events or phenomena that can help in understanding a topic; it is related to analogical reasoning. It is not on inferring nor surrounding the target event or phenomenon; it is another event or phenomenon. That is why we do not use comparative evidence as valid proof in court cases. Its evidential value in terms of establishing a fact is even fainter than contextual evidence, which is at least remotely related to the exact event. But when it comes to justifying a judicial decision, comparison relevance becomes useful in identifying comparable precedents.

To recognize similarity among seemingly discrete facts is at the heart of human thinking and reasoning; it establishes connections, inspires thinking, generates perspectives and improves distinction among similar facts. On the one hand, by looking at similar cases, we obtain supplemental details, develop a comprehensive view on the same sort of events, and know better about something unique about the target event; on the other hand, by looking at contrasting cases, we see the other side of the coin and gain alternative perspectives about the target event. Moreover, in cases where little material on the exact event is available, comparable cases can also induce some arguments, but theser are not as strong and conclusive.

Comparative evidence can be defined as information about a topic that shares characteristics of the topic but differs from the topic in one or more aspects. A topic usually consists of several aspects or facets. A typical MALACH topic can be described by three major facets: (i) external factors: time and place; (ii) participants; and (iii) the event, experience or phenomenon. Varying the values of one or two of these facets, we obtain similar or contrasting cases. (Varying all three at once leaves no similarity or basis for comparison.) Varying values of the first two topical facets, we get the same or comparable event, experience or phenomenon happening in a different place, at a different time, in a different situation, or with a different person; varying values of the last facet, we get an opposite event, experience or phenomenon happening in the same time-space or involving the same participant(s). The three major topical facets define three specific types of comparative evidence:

Comparison: varying external factor(s), time or place

Many topics specify the place or time of target events or phenomena, such as the Jews of Shanghai, the post-war reception of Holocaust survivors by the American Jewish Community 1945-1954, etc. Varying elements on these two facets, we get to see similar or comparable events (or phenomena) that happen at a different time and/or a different place that shed light on the topic.

Comparison: happening at a difference place

Topic: The post-war reception of Holocaust survivors by the American Jewish Community 1945-1954
Evidence: Mention of reception in Netherlands, 1945-1954.

Comparison: happening at a different time

Comparison: varying the participant(s)

Some topics ask for events (or experiences) involving specific participant(s), such as a specific person, a specific group, a specific government, a specific community and so on:

in the topics such as Nazi Theft and Expropriation of Family Property and Assets, the actor who takes an active role in the target event is specified;
in the topics such as Children Removed from Their Parents, the subject who is subject to or acted upon by the target event or experience is specified.

Comparison: a different actor

Varying the actor in a comparable event or activity, we get to know the attitude, policy, action taken by a different government, a different resistance group, a different community, etc.

Topic: Nazi theft and expropriation of family property and assets
Evidence:Seizure of property by Axis governments other than the Nazis, e.g., Hungary pre-1944.

Comparison: a different subject being acted upon

A subject can be different in terms of age, sex, gender, attitude, behaviour, religion, race, skill, situation, etc.

Topic: Treatment of the disabled during the Holocaust
Evidence: The Nazi experimentation and extermination of gypsies, homosexuals, twins and the elderly. These non-disabled provoked the same type of cruelty from Nazis during the Holocaust.

Comparison: varying the act or experience

Variations on this topical facet often provide contrasting evidence for a topic. It enables us to understand how similar situations engender different actions or events and how similar participants make different decisions or go through different experience. For instance, under the topic Strengthening Faith by Holocaust Experience, a survivor speaks of his loss of faith in Auschwitz and his antipathy to the religious rationalization of the Holocaust. Seeing the other side of the coin usually enriches our thinking of a topic.

Comparison: a different act

Different attitude, feeling, policy, treatment, activity, or experience taken by comparable actor.

Topic: Strengthening faith by Holocaust experience
Evidence: A survivor speaks of his loss of faith in Auschwitz. He stopped believing in formal religion, be it Jewish, Catholic, Protestant, or other. He saw a religious fellow teach young people that the Jews of Poland and Czech and Romania sinned but the Jews of Florida and of New York did not sin. He cannot believe there is a God who could see what was happening in Auschwitz and permit it.

Comparison: a different experience

Different experience, activity, or event that acts upon a similar subject.

Topic: The Postwar Reception of Holocaust Survivors by the American Jewish Community 1945-1954
Evidence:Segments discuss reception of other displaced ethnic groups.

Conclusion

This exploration of topical relevance from the evidence perspective shows the highly complex and dynamic relationships involved in the concept. By sorting out the rich topical nuances discovered in the MALACH test collection, we identified and explored four types of topical relevance that play different roles in making topical connections between a piece of information/evidence and a topic:

Direct evidence explicitly gives an answer to a user's question;
indirect evidence lets us infer an answer to the question;
contextual evidence provides peripheral or background information surrounding an answer; and
comparative evidence provides a basis for interpretation or inspires some answer through perceived similarity to the question.

The common interpretation of topical relevance as a matching relationship is too limited and minimizes the importance of detecting other topical connections. As a consequence, present information retrieval systems limit the user in the types of information or evidence they can easily find when exploring a topic.

The four types of topical relevance

Direct, indirect, contextual, and comparative evidence play different roles in reasoning, making a conclusive argument, deriving a rich understanding, or performing a task. Direct and indirect relevance provide a relatively restrictive evidential space leading to a specific answer or fact while context is much more open to different possibilities and does not necessarily lead to one answer at all. For fact-establishing tasks (for example, in law), direct evidence (seeing the suspect shoot at the victim) and indirect evidence (seeing the suspect throwing a gun away) may differ in inferential strength but both can serve as valid proof. In this situation, comparative evidence cannot be used to establish a fact. However, when the judge looks at what laws and precedents apply to the case at hand, comparison becomes the essential reasoning tool. Only by looking at the similarities and discrepancies in various dimensions can the judge establish critical connections between cases and make appropriate decisions. Likewise, in the history domain, if the goal is to recover an historical event, direct, indirect and sometimes context evidence is more useful; but if the goal is to generate interpretation, looking at similar and/or contrasting historical events can provide much insight. Another example is case-based reasoning in weather forecasting, where one gathers and compares similar cases and uses inductive reasoning to predict future events. Comparative evidence is only a last resort for establishing facts but it is useful for deriving perspectives and inspiring informed guesses.

It may be argued that information retrieval systems with their limitation of finding just direct evidence have served us well; why do we bother to have other types of evidence? This view is oversimplified and fails to take into account the large variety of information needs, user situations, and user tasks:

In many situations, direct evidence is simply not available. For instance, in court cases, direct witnesses are preferred but often not available. Much trial reasoning is based on indirect (circumstantial) evidence. In the history domain, when direct evidence on an event is missing, historians collect indirect, contextual, or comparative evidence to make hypotheses and establish arguments.
For many tasks direct evidence alone is not sufficient. The need for comparable cases in law is discussed above. For another example, in Evidence-based Medicine a direct, quick, diagnostic answer is not sufficient; what matters is how the physician gathers and uses evidence to arrive at the answer, how well s/he understands the background and problem of an individual patient, and how much s/he is aware of comparative treatments or tests. This puts a focus on contextual and comparative evidence into clinical information seeking.

Implications for information seeking and information retrieval systems

Knowledge of the types of reasoning equips the user to search from different angles and to apply the information found to a task (Huang and Soergel 2004). With present information retrieval systems which provide only direct evidence on a query topic but fail to respond effectively to non-direct types of user requests, users must think of the types of information that could be relevant indirectly or context or by comparison and conduct separate searches for each, and ask each question in a 'direct' way. For example, consider a search for contextual information before the terrorist event of 11 September, 2001 in New York (known as 9/11), such as cultural conflicts before 9/11. Instead of submitting a query of 'context pre-9/11', the user needs to recall a particular event or person that s/he knows to be relevant to start the search. In this way, s/he makes a new 'target' for the search. First, this stops users who are curious but know little about the background; second, even it is feasible for some knowledgeable users, it still requires extra mental effort. Instead of focusing on the target topic, users must shift their attention to formulate their questions in a direct manner and constantly orient themselves to one new target after another. Users are doing extra work of pre-processing their non-direct requests before they can interact with the direct-oriented information retrieval systems. Systems capable of detecting information that is relevant in a non-direct way allow users to keep their focus and stay at the centre of their task, yet support them in thinking about the task more comprehensively.

We can incorporate new capabilities into information retrieval systems by indicating topical relevance relationships in indexing: the indexer not only identifies the topic to which a piece of information is related but also indicates in what way they are related. This may substantially improve the systems' response to different types of tasks in different user situations. Indexing topical relationships to achieve the desired flexibility is just a starting point. A more general solution is to equip the system with reasoning power so that it can detect what information in the collection is relevant directly, indirectly, in context, or by comparison. Such a facility may be supported by an ontology that stores type-of-evidence relationships at the concept level. For a system that works along these lines, using the relevance types implied by the PICO (Problem, Intervention, Comparison, Outcome) frame in evidence-based medicine as precision device, see Niu & Hirst (2004) and Lin (2006).

From the perspective of task-based retrieval (Vakkari 2003), the relevance types indicate ways in which a piece of information supports a task. Thus, to identify a user's information needs and then find and present appropriate information one should

identify the type of the task/question and the corresponding argument structure;
fit available pieces of information into the argument structure;
determine gaps in the information needed to complete the argument and the roles these missing pieces play in the argument;
find pieces of information that are in the proper relationship to the question (type of relevance);
present the results organized by type of relevance or, even better, organized by the structure of the argument (possibly shown graphically).

Outlook

The role of different types of evidence must be understood in the context of a particular task or question type in a particular domain. So, a broader analysis of the types of relevance should proceed from an analysis of the types of tasks and/or questions and the types of reasoning used in the argument structure in different domains. Such analyses can be found in writings devoted to methods from different perspectives: philosophy, psychology (human thinking), decision making, and research methods. There will be many question- and domain-specific ways in which a piece of information relates to a task or question and, thus, many nuanced types of relevance. The analysis should look for commonalities and differences across domains and types of tasks or questions.

Exploration of user tasks and understanding the full complexity of topical relevance are intimately linked. We need more effort to advance the understanding of both and ultimately to improve information retrieval system performance by creatively incorporating an enriched concept of user tasks and of topical relevance.

Acknowledgements

This work has been supported in part by NSF award IIS 0122466. We thank Douglas Oard and Craig Murray for early discussions on the types of topical relevance in the context of MALACH, David Doermann, Liliya Kharevych, Josiane Alagbe, and Ayelet Goldin who created and maintained the assessment system, Ryen White and Firouzeh Jalilian for the scripts extracting and reformatting segment assessments from the database, and most of all our assessors for their elaborate notes and insightful comments.

Note

The PowerPoint presentation used in the ISIC Conference is also available.

References

Barry, C. (1993). The identification of user criteria of relevance and document characteristics: beyond the topical approach to information retrieval. Unpublished doctoral dissertation, Syracuse University, Syracuse, NY.
Cross-language Evaluation Forum. Cross-language Speech Retrieval Track. (2006). Data. Retrieved 7 September, 2006 from http://clef-clsr.umiacs.umd.edu/data.html
Cooper, W.S. (1971). A definition of relevance for information retrieval. Information Storage and Retrieval, 7(1), 19-37.
Green, R. & Bean, C.A. (1995). Topical relevance relationships. I. Why topic matching fails. II. An exploratory study and preliminary typology. Journal of the American Society for Information Science, 46(9), 646-653, 654-662.
Green, R. (1997). The role of relational structures in indexing for the humanities. Knowledge Organization, 24(2), 72-83.
Gustman, S., Soergel, D., Oard, D., Byrne, W., Picheny, M., Ramabhadran, B. & Greenberg, D. (2002). Supporting access to large digital oral history archives. In Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries, Portland, Oregon, USA. (pp. 18-27). New York, NY: ACM Press.
Huang, X. & Soergel, D. (2004). Relevance judges' understanding of topical relevance types: an explication of an enriched concept of topical relevance. Proceedings of the Annual Meeting of the American Society for Information Science and Technology, 41, 156-167
Kadane, J.B. & Schum, D.A. (1996). A probabilistic analysis of the Sacco and Vanzetti evidence. New York, NY: John Wiley & Sons, Inc.
Lawley, K., Soergel, D. & Huang, X. (2005). Relevance criteria used by teachers in selecting oral history materials. Proceedings of the Annual Meeting of the American Society for Information Science and Technology, 42, 421-448
Lindlof, T.R. & Taylor, B. C. (2002). Qualitative communication research methods (2nd ed.). Thousand Oaks, CA: Sage.
Lin, J. (2006) The role of knowledge in conceptual retrieval: A study in the domain of clinical medicine. Proceedings of the Annual international ACM SIGIR Conference on Research and Development in Information Retrieval, 29, 99-106.
Mizzarro, S. (1997). Relevance: the whole history. Journal of the American Society for Information Science and Technology, 48(9), 810-832.
Niu, Y. & Hirst, G. (2004). Analysis of semantic classes in medical text for question answering. In Question Answering in Restricted Domains Proceedings of the ACL 2004 Workshop, (pp. 54-61). East Stroudsburg, PA: Association for Computational Linguistics. Retrieved 20 November, 2006 from http://acl.ldc.upenn.edu/acl2004/qarestricteddomain/pdf/niu.pdf
Saracevic, T. (1996). Relevance reconsidered. Peter Ingwersen & Niels Ole Pors (Eds.). Proceedings of the Conference on Conceptions of Library and Information Science (COLIS) 2. (pp. 201-218). Copenhagen: Royal School of Librarianship.
Saracevic, T. (1975). Relevance: a review of and a framework for the thinking on the notion in information science. Journal of the American Society for Information Science, 26(6), 326-343.
Saracevic, T. (in press). Relevance: a review of the literature and a framework for thinking on the notion in information science. Part II. Advances in Librarianship 30.
Schamber, L., Eisenberg, M. & Nilan, M.S. (1990). A re-examination of relevance: toward a dynamic, situational definition. Information Processing & Management, 26(6), 755-776.
Schamber, L. (1994). Relevance and information behaviour. Annual Review of Information Science and Technology, 29, 3-48
Twining, W. (2003). Evidence as a multi-disciplinary subject. Law Probability and Risk, 2(2), 91-107.
Vakkari, P. (2003). Task-based information searching. Annual Review of Information Science and Technology, 37, 413-464
Wang, P.& Soergel, D. (1998). A cognitive model of document use during a research project. Study I. Document selection. Journal of the American Society for Information Science and Technology, 49(2), 115-133
Wilson, P. (1973). Situational relevance. Information Storage and Retrieval, 9(8), 457-471.

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